Login
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..
FreshRSS $ 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
Free to use IOC feed for various tools/malware. It started out for just C2 tools but has morphed into tracking infostealers and botnets as well. It uses shodan.io/">Shodan searches to collect the IPs. The most recent collection is always stored in data; the IPs are broken down by tool and there is an all.txt.
The feed should update daily. Actively working on making the backend more reliable
Many of the Shodan queries have been sourced from other CTI researchers:
Huge shoutout to them!
Thanks to BertJanCyber for creating the KQL query for ingesting this feed
And finally, thanks to Y_nexro for creating C2Live in order to visualize the data
If you want to host a private version, put your Shodan API key in an environment variable called SHODAN_API_KEY
echo SHODAN_API_KEY=API_KEY >> ~/.bashrc
bash
python3 -m pip install -r requirements.txt
python3 tracker.py
I encourage opening an issue/PR if you know of any additional Shodan searches for identifying adversary infrastructure. I will not set any hard guidelines around what can be submitted, just know, fidelity is paramount (high true/false positive ratio is the focus).
To know more about our Attack Surface Management platform, check out NVADR.
DOUGLAS-042 stands as an ingenious embodiment of a PowerShell script meticulously designed to expedite the triage process and facilitate the meticulous collection of crucial evidence derived from both forensic artifacts and the ephemeral landscape of volatile data. Its fundamental mission revolves around providing indispensable aid in the arduous task of pinpointing potential security breaches within Windows ecosystems. With an overarching focus on expediency, DOUGLAS-042 orchestrates the efficient prioritization and methodical aggregation of data, ensuring that no vital piece of information eludes scrutiny when investigating a possible compromise. As a testament to its organized approach, the amalgamated data finds its sanctuary within the confines of a meticulously named text file, bearing the nomenclature of the host system's very own hostname. This practice of meticulous data archival emerges not just as a systematic convention, but as a cornerstone that paves the way for seamless transitions into subsequent stages of the Forensic journey.
Using administrative privileges, just run the script from a PowerShell console, then the results will be saved in the directory as a txt file.
$ PS >./douglas.ps1
$ PS >./douglas.ps1 -a
Associated-Threat-Analyzer detects malicious IPv4 addresses and domain names associated with your web application using local malicious domain and IPv4 lists.
git clone https://github.com/OsmanKandemir/associated-threat-analyzer.git
cd associated-threat-analyzer && pip3 install -r requirements.txt
python3 analyzer.py -d target-web.com
You can run this application on a container after build a Dockerfile.
docker build -t osmankandemir/threatanalyzer .
docker run osmankandemir/threatanalyzer -d target-web.com
docker pull osmankandemir/threatanalyzer
docker run osmankandemir/threatanalyzer -d target-web.com
-d DOMAIN , --domain DOMAIN Input Target. --domain target-web1.com
-t DOMAINSFILE, --DomainsFile Malicious Domains List to Compare. -t SampleMaliciousDomains.txt
-i IPSFILE, --IPsFile Malicious IPs List to Compare. -i SampleMaliciousIPs.txt
-o JSON, --json JSON JSON output. --json
https://github.com/OsmanKandemir/indicator-intelligence
https://github.com/stamparm/blackbook
https://github.com/stamparm/ipsum
Raw html extractor from Hurricane Electric portal
go install -v github.com/HuntDownProject/hednsextractor/cmd/hednsextractor@latest
usage -hGetting the IP Addresses used for hackerone.com, and enumerating only the networks.
nslookup hackerone.com | awk '/Address: / {print $2}' | hednsextractor -silent -only-networks
[INF] [104.16.99.52] 104.16.0.0/12
[INF] [104.16.99.52] 104.16.96.0/20Getting the IP Addresses used for hackerone.com, and enumerating only the domains (using tail to show the first 10 results).
nslookup hackerone.com | awk '/Address: / {print $2}' | hednsextractor -silent -only-domains | tail -n 10
herllus.com
hezzy.store
hilariostore.com
hiperdrop.com
hippratas.online
hitsstory.com
hobbyshop.site
holyangelstore.com
holzfallerstore.fun
homedescontoo.comEdit the config file and add the Virustotal API Key
cat $HOME/.config/hednsextractor/config.yaml # hednsextractor config file
# generated by https://github.com/projectdiscovery/goflags
# show only domains
#only-domains: false
# show only networks
#only-networks: false
# show virustotal score
#vt: false
# minimum virustotal score to show
#vt-score: 0
# ip address or network to query
#target:
# show silent output
#silent: false
# show verbose output
#verbose: false
# virustotal api key
vt-api-key: Your API Key goes hereSo, run the hednsextractor with -vt parameter.
nslookup hackerone.com | awk '/Address: / {print $2}' | hednsextractor -only-domains -vt And the output will be as below
_______ ______ _ _______ _______ _________ _______ _______ _______ _________ _______ _______
|\ /|( ____ \( __ \ ( ( /|( ____ \( ____ \|\ /|\__ __/( ____ )( ___ )( ____ \\__ __/( ___ )( ____ )
| ) ( || ( \/| ( \ )| \ ( || ( \/| ( \/( \ / ) ) ( | ( )|| ( ) || ( \/ ) ( | ( ) || ( )|
| (___) || (__ | | ) || \ | || (_____ | (__ \ (_) / | | | (____)|| (___) || | | | | | | || (____)|
| ___ || __) | | | || (\ \) |(_____ )| __) ) _ ( | | | __)| ___ || | | | | | | || __)
| ( ) || ( | | ) || | \ | ) || ( / ( ) \ | | | (\ ( | ( ) || | | | | | | || (\ (
| ) ( || (____/\| (__/ )| ) \ |/\____) || (____/\( / \ ) | | | ) \ \__| ) ( || (____/\ | | | (___) || ) \ \__
|/ \|(_______/(______/ |/ )_)\_______)(_______/|/ \| )_( |/ \__/|/ \|(_______/ )_( (_______)|/ \__/
[INF] Current hednsextractor version v1.0.0
[INF] [104.16.0.0/12] domain: ohst.ltd VT Score: 0
[INF] [104.16.0.0/12] domain: jxcraft.net VT Score: 0
[INF] [104.16.0.0/12] domain: teatimegm.com VT Score: 2
[INF] [104.16.0.0/12] domain: debugcheat.com VT Score: 0
Introducing SOC Multi-tool, a free and open-source browser extension that makes investigations faster and more efficient. Now available on the Chrome Web Store and compatible with all Chromium-based browsers such as Microsoft Edge, Chrome, Brave, and Opera.
Now available on Chrome Web Store!
SOC Multi-tool eliminates the need for constant copying and pasting during investigations. Simply highlight the text you want to investigate, right-click, and navigate to the type of data highlighted. The extension will then open new tabs with the results of your investigation.
The SOC Multi-tool is a modernized multi-tool built from the ground up, with a range of features and capabilities. Some of the key features include:
You can easily install the extension by downloading the release from the Chrome Web Store!
If you wish to make edits you can download from the releases page, extract the folder and make your changes.
To load your edited extension turn on developer mode in your browser's extensions settings, click "Load unpacked" and select the extracted folder!
SOC Multi-tool is a community-driven project and the developer encourages users to contribute and share better resources.
In essence, the main idea came to use WAF + YARA (YARA right-to-left = ARAY) to detect malicious files at the WAF level before WAF can forward them to the backend e.g. files uploaded through web functions see: https://owasp.org/www-community/vulnerabilities/Unrestricted_File_Upload
When a web page allows uploading files, most of the WAFs are not inspecting files before sending them to the backend. Implementing WAF + YARA could provide malware detection before WAF forwards the files to the backend.
Yes, one solution is to use ModSecurity + Clamav, most of the pages call ClamAV as a process and not as a daemon, in this case, analysing a file could take more than 50 seconds per file. See this resource: https://kifarunix.com/intercept-malicious-file-upload-with-modsecurity-and-clamav/
:-( A few clues here Black Hat Asia 2019 please continue reading and see below our quick LAB deployment.
Basically, It is a quick deployment (1) with pre-compiled and ready-to-use YARA rules via ModSecurity (WAF) using a custom rule; (2) this custom rule will perform an inspection and detection of the files that might contain malicious code, (3) typically web functions (upload files) if the file is suspicious will reject them receiving a 403 code Forbidden by ModSecurity.
YaraCompile.py compiles all the yara rules. (Python3 code)test.conf is a virtual host that contains the mod security rules. (ModSecurity Code)modsec_yara.py in order to inspect the file that is trying to upload. (Python3 code)/YaraRules/Compiled
/YaraRules/rules
/YaraRules/YaraScripts
/etc/apache2/sites-enabled
/temporal Blueteamers: Rule enforcement, best alerting, malware detection on files uploaded through web functions.Redteamers/pentesters: GreyBox scope , upload and bypass with a malicious file, rule enforcement.Security Officers: Keep alerting, threat hunting.SOC: Best monitoring about malicious files.CERT: Malware Analysis, Determine new IOC.The Proof of Concept is based on Debian 11.3.0 (stable) x64 OS system, OWASP CRC v3.3.2 and Yara 4.0.5, you will find the automatic installation script here wafaray_install.sh and an optional manual installation guide can be found here: manual_instructions.txt also a PHP page has been created as a "mock" to observe the interaction and detection of malicious files using WAF + YARA.
alex@waf-labs:~$ su root
root@waf-labs:/home/alex#
# Remember to change YOUR_USER by your username (e.g waf)
root@waf-labs:/home/alex# sed -i 's/^\(# User privi.*\)/\1\nalex ALL=(ALL) NOPASSWD:ALL/g' /etc/sudoers
root@waf-labs:/home/alex# exit
alex@waf-labs:~$ sudo sed -i 's/^\(deb cdrom.*\)/#\1/g' /etc/apt/sources.list
alex@waf-labs:~$ sudo sed -i 's/^# \(deb\-src http.*\)/ \1/g' /etc/apt/sources.list
alex@waf-labs:~$ sudo sed -i 's/^# \(deb http.*\)/ \1/g' /etc/apt/sources.list
alex@waf-labs:~$ echo -ne "\n\ndeb http://deb.debian.org/debian/ bullseye main\ndeb-src http://deb.debian.org/debian/ bullseye main\n" | sudo tee -a /etc/apt/sources.list
alex@waf-labs:~$ sudo apt-get update
alex@waf-labs:~$ sudo apt-get install sudo -y
alex@waf-labs:~$ sudo apt-get install git vim dos2unix net-tools -y
alex@waf-labs:~$ git clone https://github.com/alt3kx/wafarayalex@waf-labs:~$ cd wafaray
alex@waf-labs:~$ dos2unix wafaray_install.sh
alex@waf-labs:~$ chmod +x wafaray_install.sh
alex@waf-labs:~$ sudo ./wafaray_install.sh >> log_install.log
# Test your LAB environment
alex@waf-labs:~$ firefox localhost:8080/upload.phpOnce the Yara Rules were downloaded and compiled.
It is similar to when you deploy ModSecurity, you need to customize what kind of rule you need to apply. The following log is an example of when the Web Application Firewall + Yara detected a malicious file, in this case, eicar was detected.
Message: Access denied with code 403 (phase 2). File "/temporal/20220812-184146-YvbXKilOKdNkDfySME10ywAAAAA-file-Wx1hQA" rejected by
the approver script "/YaraRules/YaraScripts/modsec_yara.py": 0 SUSPECTED [YaraSignature: eicar]
[file "/etc/apache2/sites-enabled/test.conf"] [line "56"] [id "500002"]
[msg "Suspected File Upload:eicar.com.txt -> /temporal/20220812-184146-YvbXKilOKdNkDfySME10ywAAAAA-file-Wx1hQA - URI: /upload.php"]$ sudo service apache2 stop
$ sudo service apache2 start
$ cd /var/log
$ sudo tail -f apache2/test_access.log apache2/test_audit.log apache2/test_error.log
A malicious file is uploaded, and the ModSecurity rules plus Yara denied uploading file to the backend if the file matched with at least one Yara Rule. (Example of Malware: https://secure.eicar.org/eicar.com.txt) NOT EXECUTE THE FILE.
For this demo, we disable the rule 933110 - PHP Inject Attack to validate Yara Rules. A malicious file is uploaded, and the ModSecurity rules plus Yara denied uploading file to the backend if the file matched with at least one Yara Rule. (Example of WebShell PHP: https://github.com/drag0s/php-webshell) NOT EXECUTE THE FILE.
A malicious file is uploaded, and the ModSecurity rules plus Yara denied uploading file to the backend if the file matched with at least one Yara Rule. (Example of Malware Bazaar (RecordBreaker): https://bazaar.abuse.ch/sample/94ffc1624939c5eaa4ed32d19f82c369333b45afbbd9d053fa82fe8f05d91ac2/) NOT EXECUTE THE FILE.
In case that you want to download more yara rules, you can see the following repositories:
Alex Hernandez aka (@_alt3kx_)
Jesus Huerta aka @mindhack03d
Israel Zeron Medina aka @spk085
A shocking number of organizations — including banks and healthcare providers — are leaking private and sensitive information from their public Salesforce Community websites, KrebsOnSecurity has learned. The data exposures all stem from a misconfiguration in Salesforce Community that allows an unauthenticated user to access records that should only be available after logging in.
A researcher found DC Health had five Salesforce Community sites exposing data.
Salesforce Community is a widely-used cloud-based software product that makes it easy for organizations to quickly create websites. Customers can access a Salesforce Community website in two ways: Authenticated access (requiring login), and guest user access (no login required). The guest access feature allows unauthenticated users to view specific content and resources without needing to log in.
However, sometimes Salesforce administrators mistakenly grant guest users access to internal resources, which can cause unauthorized users to access an organization’s private information and lead to potential data leaks.
Until being contacted by this reporter on Monday, the state of Vermont had at least five separate Salesforce Community sites that allowed guest access to sensitive data, including a Pandemic Unemployment Assistance program that exposed the applicant’s full name, Social Security number, address, phone number, email, and bank account number.
This misconfigured Salesforce Community site from the state of Vermont was leaking pandemic assistance loan application data, including names, SSNs, email address and bank account information.
Vermont’s Chief Information Security Officer Scott Carbee said his security teams have been conducting a full review of their Salesforce Community sites, and already found one additional Salesforce site operated by the state that was also misconfigured to allow guest access to sensitive information.
“My team is frustrated by the permissive nature of the platform,” Carbee said.
Carbee said the vulnerable sites were all created rapidly in response to the Coronavirus pandemic, and were not subjected to their normal security review process.
“During the pandemic, we were largely standing up tons of applications, and let’s just say a lot of them didn’t have the full benefit of our dev/ops process,” Carbee said. “In our case, we didn’t have any native Salesforce developers when we had to suddenly stand up all these sites.”
Earlier this week, KrebsOnSecurity notified Columbus, Ohio-based Huntington Bank that its recently acquired TCF Bank had a Salesforce Community website that was leaking documents related to commercial loans. The data fields in those loan applications included name, address, full Social Security number, title, federal ID, IP address, average monthly payroll, and loan amount.
Huntington Bank has disabled the leaky TCF Bank Salesforce website. Matthew Jennings, deputy chief information security officer at Huntington, said the company was still investigating how the misconfiguration occurred, how long it lasted, and how many records may have been exposed.
KrebsOnSecurity learned of the leaks from security researcher Charan Akiri, who said he wrote a program that identified hundreds of other organizations running misconfigured Salesforce pages. But Akiri said he’s been wary of probing too far, and has had difficulty getting responses from most of the organizations he has notified to date.
“In January and February 2023, I contacted government organizations and several companies, but I did not receive any response from these organizations,” Akiri said. “To address the issue further, I reached out to several CISOs on LinkedIn and Twitter. As a result, five companies eventually fixed the problem. Unfortunately, I did not receive any responses from government organizations.”
The problem Akiri has been trying to raise awareness about came to the fore in August 2021, when security researcher Aaron Costello published a blog post explaining how misconfigurations in Salesforce Community sites could be exploited to reveal sensitive data (Costello subsequently published a follow-up post detailing how to lock down Salesforce Community sites).
On Monday, KrebsOnSecurity used Akiri’s findings to notify Washington D.C. city administrators that at least five different public DC Health websites were leaking sensitive information. One DC Health Salesforce Community website designed for health professionals seeking to renew licenses with the city leaked documents that included the applicant’s full name, address, Social Security number, date of birth, license number and expiration, and more.
Akiri said he notified the Washington D.C. government in February about his findings, but received no response. Reached by KrebsOnSecurity, interim Chief Information Security Officer Mike Rupert initially said the District had hired a third party to investigate, and that the third party confirmed the District’s IT systems were not vulnerable to data loss from the reported Salesforce configuration issue.
But after being presented with a document including the Social Security number of a health professional in D.C. that was downloaded in real-time from the DC Health public Salesforce website, Rupert acknowledged his team had overlooked some configuration settings.
Washington, D.C. health administrators are still smarting from a data breach earlier this year at the health insurance exchange DC Health Link, which exposed personal information for more than 56,000 users, including many members of Congress.
That data later wound up for sale on a top cybercrime forum. The Associated Press reports that the DC Health Link breach was likewise the result of human error, and said an investigation revealed the cause was a DC Health Link server that was “misconfigured to allow access to the reports on the server without proper authentication.”
Salesforce says the data exposures are not the result of a vulnerability inherent to the Salesforce platform, but they can occur when customers’ access control permissions are misconfigured.
“As previously communicated to all Experience Site and Sites customers, we recommend utilizing the Guest User Access Report Package to assist in reviewing access control permissions for unauthenticated users,” reads a Salesforce advisory from Sept. 2022. “Additionally, we suggest reviewing the following Help article, Best Practices and Considerations When Configuring the Guest User Profile.”
In a written statement, Salesforce said it is actively focused on data security for organizations with guest users, and that it continues to release “robust tools and guidance for our customers,” including:
Control Which Users Experience Cloud Site Users Can See
Best Practices and Considerations When Configuring the Guest User Profile
“We’ve also continued to update our Guest User security policies, beginning with our Spring ‘21 release with more to come in Summer ‘23,” the statement reads. “Lastly, we continue to proactively communicate with customers to help them understand the capabilities available to them, and how they can best secure their instance of Salesforce to meet their security, contractual, and regulatory obligations.”
This tool will help you on your IR & Threat Hunting & CA. just drop your event log file and anlayze the results.
$ ThreatHound.exe -s ..\sigma_rules\ -p C:\Windows\System32\winevt\Logs\ -print noNOTE: give cmd full promission to read from "C:\Windows\System32\winevt\Logs"
$ git clone https://github.com/MazX0p/ThreatHound.git
$ cd ThreatHound
$ pip install - r requirements.txt
$ pyhton3 ThreatHound.py
This code connects to a given MISP (Malware Information Sharing Platform) server and parses a given number of events, writing the IP addresses, URLs, and MD5 hashes found in the events to three separate files.
To use this script, you will need to provide the URL of your MISP instance and a valid API key. You can then call the MISPConnector.run() method to retrieve the attributes and save them to files.
To use the code, run the following command:
python3 misp_connector.py --misp-url <MISP_URL> --misp-key <MISP_API_KEY> --limit <EVENT_LIMIT>The MISPConnector class currently supports the following attribute types:
If an attribute of one of these types is found in an event, it will be added to the appropriate set (for example, IP addresses will be added to the network_set) and written to the corresponding file (network.txt, hash.txt, or url.txt).
The code can be configured by passing arguments to the command-line script. The available arguments are:
This script has the following limitations:
This code is provided under the MIT License. See the LICENSE file for more details.
With this application, it is aimed to accelerate the incident response processes by collecting information in linux operating systems.
Information is collected in the following contents.
/etc/passwd
cat /etc/group
cat /etc/sudoers
lastlog
cat /var/log/auth.log
uptime/proc/meminfo
ps aux
/etc/resolv.conf
/etc/hosts
iptables -L -v -n
find / -type f -size +512k -exec ls -lh {}/;
find / -mtime -1 -ls
ip a
netstat -nap
arp -a
echo $PATH
git clone https://github.com/anil-yelken/pylirt
cd pylirt
sudo pip3 install paramiko
The following information should be specified in the cred_list.txt file:
IP|Username|Password
sudo python3 plirt.py
https://twitter.com/anilyelken06
https://medium.com/@anilyelken
The Sandbox Scryer is an open-source tool for producing threat hunting and intelligence data from public sandbox detonation output The tool leverages the MITRE ATT&CK Framework to organize and prioritize findings, assisting in the assembly of IOCs, understanding attack movement and in threat hunting By allowing researchers to send thousands of samples to a sandbox for building a profile that can be used with the ATT&CK technique, the Sandbox Scryer delivers an unprecedented ability to solve use cases at scale The tool is intended for cybersecurity professionals who are interested in threat hunting and attack analysis leveraging sandbox output data. The Sandbox Scryer tool currently consumes output from the free and public Hybrid Analysis malware analysis service helping analysts expedite and scale threat hunting
[root] version.txt - Current tool version LICENSE - Defines license for source and other contents README.md - This file
[root\bin] \Linux - Pre-build binaries for running tool in Linux. Currently supports: Ubuntu x64 \MacOS - Pre-build binaries for running tool in MacOS. Currently supports: OSX 10.15 x64 \Windows - Pre-build binaries for running tool in Windows. Currently supports: Win10 x64
[root\presentation_video] Sandbox_Scryer__BlackHat_Presentation_and_demo.mp4 - Video walking through slide deck and showing demo of tool
[root\screenshots_and_videos] Various backing screenshots
[root\scripts] Parse_report_set.* - Windows PowerShell and DOS Command Window batch file scripts that invoke tool to parse each HA Sandbox report summary in test set Collate_Results.* - Windows PowerShell and DOS Command Window batch file scripts that invoke tool to collate data from parsing report summaries and generate a MITRE Navigator layer file
[root\slides] BlackHat_Arsenal_2022__Sandbox_Scryer__BH_template.pdf - PDF export of slides used to present the Sandbox Scryer at Black Hat 2022
[root\src] Sandbox_Scryer - Folder with source for Sandbox Scryer tool (in c#) and Visual Studio 2019 solution file
[root\test_data] (SHA256 filenames).json - Report summaries from submissions to Hybrid Analysis enterprise-attack__062322.json - MITRE CTI data TopAttackTechniques__High__060922.json - Top MITRE ATT&CK techniques generated with the MITRE calculator. Used to rank techniques for generating heat map in MITRE Navigator
[root\test_output] (SHA256)_report__summary_Error_Log.txt - Errors (if any) encountered while parsing report summary for SHA256 included in name (SHA256)_report__summary_Hits__Complete_List.png - Graphic showing tecniques noted while parsing report summary for SHA256 included in name (SHA256)_report__summary_MITRE_Attck_Hits.csv - For collation step, techniques and tactics with select metadata from parsing report summary for SHA256 included in name (SHA256)_report__summary_MITRE_Attck_Hits.txt - More human-readable form of .csv file. Includes ranking data of noted techniques
\collated_data collated_080122_MITRE_Attck_Heatmap.json - Layer file for import into MITRE Navigator
The Sandbox Scryer is intended to be invoked as a command-line tool, to facilitate scripting
Operation consists of two steps:
Invocation examples:
Parsing
Collation
If the parameter "-h" is specified, the built-in help is displayed as shown here Sandbox_Scryer.exe -h
Options:
-h Display command-line options
-i Input filepath
-ita Input filepath - MITRE report for top techniques
-o Output folder path
-ft Type of file to submit
-name Name to use with output
-sb_name Identifier of sandbox to use (default: ha)
-api_key API key to use with submission to sandbox
-env_id Environment ID to use with submission to sandbox
-inc_sub Include sub-techniques in graphical output (default is to not include)
-mitre_data Filepath for mitre cti data to parse (to populate att&ck techniques)
-cmd Command
Options:
parse Process report file from prior sandbox submission
Uses -i, -ita, - o, -name, -inc_sub, -sig_data parameters
col Collates report data from prior sandbox submissions
Uses -i (treated as folder path), -ita, -o, -name, -inc_sub, -mitre_data parameters
Once the Navigator layer file is produced, it may be loaded into the Navigator for viewing via https://mitre-attack.github.io/attack-navigator/
Within the Navigator, techniques noted in the sandbox report summaries are highlighted and shown with increased heat based on a combined scoring of the technique ranking and the count of hits on the technique in the sandbox report summaries. Howevering of techniques will show select metadata.
EDR with artifact collection driven by detection. The detection engine is built on top of a previous project Gene specially designed to match Windows events against user defined rules.
It means that an alert can directly trigger some artifact collection (file, registry, process memory). This way you are sure you collected the artifacts as soon as you could (near real time).
All this work has been done on my free time in the hope it would help other people, I hope you will enjoy it. Unless I get some funding to further develop this project, I will continue doing so. I will make all I can to fix issues in time and provide updates. Feel free to open issues to improve that project and keep it alive.
NB: the EDR agent can be ran standalone (without being connected to an EDR manager)
NB: event filtering can be done at 100% with Gene rules so do not bother creating a complicated Sysmon configuration.
In order to get the most of WHIDS you might want to improve your logging policy.
Computer Configuration\Windows Settings\Security Settings\Advanced Audit Policy Configuration\System Audit Policies\System\Audit Security System Extension -> EnableComputer Configuration\Windows Settings\Security Settings\Advanced Audit Policy Configuration\System Audit Policies\Object Access\Audit File System -> EnableSelect a principal (put here the name of the user/group you want the audit for). Put group Everyone if you want to log access from any user.Apply this to is used to select the scope of this audit policy starting from the folder you have selectedBasic permissions select the kinds of accesses you want the logs to be generated forSecurity log channelMicrosoft-Windows-Windows Defender/Operational monitored by the EDR.This section covers the installation of the agent on the endpoint.
manage.bat as administrator
manage.bat or using your preferred text editormanage.bat or just reboot (preferred option otherwise some enrichment fields will be incomplete leading to false alerts)NB: At installation time the Sysmon service will be made dependent of WHIDS service so that we are sure the EDR runs before Sysmon starts generating some events.
The EDR manager can be installed on several platforms, pre-built binaries are provided for Windows, Linux and Darwin.
Please visit doc/configuration.md
\\vbox\test is mounted as Z: drive, running Z:\whids.exe won't work while running \\vbox\test\whids.exe actually would.Github:https://github.com/tines Website:https://www.tines.com/ Twitter:@tines_io
Matano is an open source security lake platform for AWS. It lets you ingest petabytes of security and log data from various sources, store and query them in an open Apache Iceberg data lake, and create Python detections as code for realtime alerting. Matano is fully serverless and designed specifically for AWS and focuses on enabling high scale, low cost, and zero-ops. Matano deploys fully into your AWS account.
Matano lets you collect log data from sources using S3 or SQS based ingestion.
Matano normalizes and transforms your data using Vector Remap Language (VRL). Matano works with the Elastic Common Schema (ECS) by default and you can define your own schema.
Log data is always stored in S3 object storage, for cost effective, long term, durable storage.
All data is ingested into an Apache Iceberg based data lake, allowing you to perform ACID transactions, time travel, and more on all your log data. Apache Iceberg is an open table format, so you always own your own data, with no vendor lock-in.
Matano is a fully serverless platform, designed for zero-ops and unlimited elastic horizontal scaling.
Write Python detections to implement realtime alerting on your log data.
View the complete installation instructions.
You can install the matano CLI to deploy Matano into your AWS account, and manage your Matano deployment.
Matano provides a nightly release with the latest prebuilt files to install the Matano CLI on GitHub. You can download and execute these files to install Matano.
For example, to install the Matano CLI for Linux, run:
curl -OL https://github.com/matanolabs/matano/releases/download/nightly/matano-linux-x64.sh
chmod +x matano-linux-x64.sh
sudo ./matano-linux-x64.shRead the complete docs on getting started.
To get started with Matano, run the matano init command. Make sure you have AWS credentials in your environment (or in an AWS CLI profile).
The interactive CLI wizard will walk you through getting started by generating an initial Matano directory for you, initializing your AWS account, and deploying Matano into your AWS account.
Initial deployment takes a few minutes.
View our complete documentation.
