Secator - The Pentester'S Swiss Knife

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.

Features

• 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

• Customizable

Supported tools

secator integrates the following tools:

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).

Installation

Installing secator

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.

Installing languages

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

Installing tools

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.

Installing addons

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

Install CVEs

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

Checking installation health

To figure out which languages or tools are installed on your system (along with their version):

secator health

Usage

secator --help

Usage examples

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

Learn more

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

Damn-Vulnerable-Drone - An Intentionally Vulnerable Drone Hacking Simulator Based On The Popular ArduPilot/MAVLink Architecture, Providing A Realistic Environment For Hands-On Drone Hacking

The Damn Vulnerable Drone is an intentionally vulnerable drone hacking simulator based on the popular ArduPilot/MAVLink architecture, providing a realistic environment for hands-on drone hacking.

About the Damn Vulnerable Drone

What is the Damn Vulnerable Drone?

The Damn Vulnerable Drone is a virtually simulated environment designed for offensive security professionals to safely learn and practice drone hacking techniques. It simulates real-world ArduPilot & MAVLink drone architectures and vulnerabilities, offering a hands-on experience in exploiting drone systems.

Why was it built?

The Damn Vulnerable Drone aims to enhance offensive security skills within a controlled environment, making it an invaluable tool for intermediate-level security professionals, pentesters, and hacking enthusiasts.

Similar to how pilots utilize flight simulators for training, we can use the Damn Vulnerable Drone simulator to gain in-depth knowledge of real-world drone systems, understand their vulnerabilities, and learn effective methods to exploit them.

The Damn Vulnerable Drone platform is open-source and available at no cost and was specifically designed to address the substantial expenses often linked with drone hardware, hacking tools, and maintenance. Its cost-free nature allows users to immerse themselves in drone hacking without financial concerns. This accessibility makes the Damn Vulnerable Drone a crucial resource for those in the fields of information security and penetration testing, promoting the development of offensive cybersecurity skills in a safe environment.

How does it work?

The Damn Vulnerable Drone platform operates on the principle of Software-in-the-Loop (SITL), a simulation technique that allows users to run drone software as if it were executing on an actual drone, thereby replicating authentic drone behaviors and responses.

ArduPilot's SITL allows for the execution of the drone's firmware within a virtual environment, mimicking the behavior of a real drone without the need for physical hardware. This simulation is further enhanced with Gazebo, a dynamic 3D robotics simulator, which provides a realistic environment and physics engine for the drone to interact with. Together, ArduPilot's SITL and Gazebo lay the foundation for a sophisticated and authentic drone simulation experience.

While the current Damn Vulnerable Drone setup doesn't mirror every drone architecture or configuration, the integrated tactics, techniques and scenarios are broadly applicable across various drone systems, models and communication protocols.

Features

• Docker-based Environment: Runs in a completely virtualized docker-based setup, making it accessible and safe for drone hacking experimentation.
• Simulated Wireless Networking: Simulated Wifi (802.11) interfaces to practice wireless drone attacks.
• Onboard Camera Streaming & Gimbal: Simulated RTSP drone onboard camera stream with gimbal and companion computer integration.
• Companion Computer Web Interface: Companion Computer configuration management via web interface and simulated serial connection to Flight Controller.
• QGroundControl/MAVProxy Integration: One-click QGroundControl UI launching (only supported on x86 architecture) with MAVProxy GCS integration.
• MAVLink Router Integration: Telemetry forwarding via MAVLink Router on the Companion Computer Web Interface.
• Dynamic Flight Logging: Fully dynamic Ardupilot flight bin logs stored on a simulated SD Card.
• Management Web Console: Simple to use simulator management web console used to trigger scenarios and drone flight states.
• Comprehensive Hacking Scenarios: Ideal for practicing a wide range of drone hacking techniques, from basic reconnaissance to advanced exploitation.
• Detailed Walkthroughs: If you need help hacking against a particular scenario you can leverage the detailed walkthrough documentation as a spoiler.

How To Tell If Your Smartphone Has Been Hacked

It takes a bit of effort, but iPhones can wind up with viruses and malware. And that can indeed lead to all kinds of snooping. 

Whether through malware or a bad app, hackers can skim personal info while you browse, bank, and shop. They can also infect your phone with ransomware that locks up your personal info or that locks up the phone itself. 

Those are some worst-case scenarios. However, good for you and unfortunate hackers is the way iPhones run apps. It makes it tough for viruses and malware to get a toehold. Apple designed the iOS operating system to run apps in what’s called a “virtual environment.” This limits the access apps have to other apps, which helps prevent viruses and malware from spreading. 

Still, malware can end up on an iPhone in a couple of ways: 

The owner “jailbreaks” the iPhone

This practice gives people more control over their iPhones. By jailbreaking, they gain “root control” of the phone. With that, they can do things like remove pre-installed apps and download third-party apps from places other than the App Store. And that’s where the trouble can start.  

Jailbreaking removes several of those barriers that keep viruses and malware from spreading. Further, downloading apps outside of the App Store exposes the phone to viruses and malware. Apple doesn’t review the apps in those stores. That way, a hacker with malicious intent can post a bad app with relative ease. 

A malicious app sneaks into the App Store

Apple has a strict review policy before apps are approved for posting in the App Store. Per Apple, “Apple’s App Review team of over 500 experts evaluates every single app submission — from developers around the world — before any app ever reaches users. On average, the team reviews approximately 132,500 apps a week.”

However, bad actors find ways to sneak malware into the store. Sometimes they upload an app that’s initially innocent and then push malware to users as part of an update. Other times, they’ll embed malicious code such that it only triggers after it’s run in certain countries. They will also encrypt malicious code in the app that they submit, which can make it difficult for reviewers to sniff out.   

So, barring a jailbroken phone, the chances of getting a virus or malware on your iPhone remain low. Still, it can happen.  

How to know if your smartphone has been hacked

Because we spend so much time on our phones, it’s fairly easy to tell when something isn’t working quite like it is supposed to. While you can chalk up some strange behavior to technical issues, sometimes those issues are symptoms of an infection. Malware can eat up system resources or conflict with other apps on your phone, causing it to act in odd ways.  

Some possible signs that your device has been hacked include:  

Performance issues  

A slower device, webpages taking way too long to load, or a battery that never keeps a charge are all things that can be attributed to a device reaching its retirement. However, these things might also be signs that malware has compromised your phone.  

Your phone feels like it’s running hot

Malware running in the background of a device might burn extra computing power, causing your phone to feel hot and overheated. If your device is quick to heat up, it might be due to malicious activity.  

Mysterious calls, texts, or apps appear

If apps you haven’t downloaded suddenly appear on your screen, or if outgoing calls you don’t remember making pop up on your phone bill, that is a definite red flag and a potential sign that your device has been hacked.  

Changes or pop-ups crowd your screen  

Malware might also be the cause of odd or frequent pop-ups, as well as changes made to your home screen. If you are getting an influx of spammy ads or your app organization is suddenly out of order, there is a big possibility that your phone has been hacked.  

Three tips to prevent your phone from being hacked

To avoid the hassle of having a hacked phone in the first place, here are some tips that can help.  

1. Update your phone and its apps.

Promptly updating your phone and apps is a primary way to keep your device safer. Updates often fix bugs and vulnerabilities that hackers rely on to download malware for their attacks.  

2. Avoid downloading from third-party app stores.

Apple’s App Store has those protections in place that we mentioned before. That’s unlike those third-party sites, which might not have those same protections. Further, some purposely host malicious apps. Avoiding these sites altogether can prevent these apps from allowing hackers into your device.  

3. Don’t use a jailbroken phone.

As we’ve seen, jailbreaking a phone introduces all kinds of security issues. Your best bet as an everyday internet user is to rely on iOS and the protections that come with it. 

Has my iPhone been hacked? 

If you are worried that your device has been hacked, follow these steps: 

Completely power down your phone. Powering down and then giving your phone a fresh start can put a halt to any malicious activity. 

Remove any apps you didn’t download. From there, power down your phone and restart it as before. 

If you still have issues, wiping and restoring your phone is an option. Provided you have your photos, contacts, and other vital info backed up in the cloud, it’s a relatively straightforward process. A quick search online can show how to wipe and restore your model of phone.  

Check your accounts and credit for any unauthorized purchases. Several features in our McAfee+ plans can help. Identity Monitoring can alert you if your info winds up on the dark web. Our Credit Monitoring along with our transaction monitoring can also alert you of unusual activity across your accounts. 

Lastly, if you spot an issue, get some help from a pro. Our Identity Theft Coverage & Restoration service offers $2 million that covers travel, losses, and legal fees associated with identity theft. It also offers the services of a licensed recovery pro who can repair your credit and your identity in the wake of an attack. 

The last word: Does my iPhone need antivirus? 

On a non-jailbroken phone, no. You don’t need antivirus. Yet your phone should certainly get extra protection. Phones face far more threats than viruses and malware alone. 

Comprehensive online protection software like ours can keep you and your phone safer. It can: 

• Block sketchy links in texts, emails, and messages. 

• Block yet more sketchy links in search, while surfing, and on social media. 

• Protect your identity in the ways mentioned above by keeping tabs on your credit and accounts. 

• Protect your privacy by removing your personal info from shady data broker sites. 

• Make you more private still by locking down your privacy settings on social media. 

Those are only a handful of the many features that protect more than your phone. You’ll find yet more that protect you — namely, your identity and your privacy. 

So while iPhones don’t need antivirus, they certainly benefit from extra online protection. 

The post How To Tell If Your Smartphone Has Been Hacked appeared first on McAfee Blog.

SherlockChain - A Streamlined AI Analysis Framework For Solidity, Vyper And Plutus Contracts

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.

Key Features

• Comprehensive Vulnerability Detection: SherlockChain's suite of detectors identifies a wide range of vulnerabilities, including high-impact issues like reentrancy, unprotected upgrades, and more.
• AI-Powered Analysis: Integrated AI models enhance the accuracy and precision of vulnerability detection, providing developers with actionable insights and recommendations.
• Seamless Integration: SherlockChain seamlessly integrates with popular development frameworks like Hardhat, Foundry, and Brownie, making it easy to incorporate into your existing workflow.
• Intuitive Reporting: SherlockChain generates detailed reports with clear explanations and code snippets, helping developers quickly understand and address identified issues.
• Customizable Analyses: The framework's flexible API allows users to write custom analyses and detectors, tailoring the tool to their specific needs.
• Continuous Monitoring: SherlockChain can be integrated into your CI/CD pipeline, providing ongoing monitoring and alerting for your smart contract codebase.

Installation

To install SherlockChain, follow these steps:

git clone https://github.com/0xQuantumCoder/SherlockChain.git
cd SherlockChain
pip install .

AI-Powered Features

SherlockChain's AI integration brings several advanced capabilities to the table:

1. Intelligent Vulnerability Prioritization: AI models analyze the context and potential impact of detected vulnerabilities, providing developers with a prioritized list of issues to address.
2. Automated Remediation Suggestions: The AI component suggests potential fixes and code modifications to address identified vulnerabilities, accelerating the remediation process.
3. Proactive Security Auditing: SherlockChain's AI models continuously monitor your codebase, proactively identifying emerging threats and providing early warning signals.

4. 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:

5. 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.

6. Reporting: The --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.).
7. Filtering: The --filter-* options enable users to filter the reported issues based on severity, impact, confidence, and other criteria.
8. AI Integration: The --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.
9. Integration with Development Frameworks: Options like --truffle and --truffle-build-directory facilitate the integration of SherlockChain into popular development frameworks like Truffle.
10. Miscellaneous Options: Additional options for compiling contracts, listing detectors, and customizing the analysis process.

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:

• Vulnerability detection options: --detect, --exclude-detectors
• Reporting options: --report-format, --report-output, --report-*
• Filtering options: --filter-*
• AI integration options: --ai-*
• Integration with development frameworks: --truffle, --truffle-build-directory
• Miscellaneous options: --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.

AI-Powered Detectors

Report: The Dark Side of Phishing Protection

Kinsing Hacker Group Exploits More Flaws to Expand Botnet for Cryptojacking

Kimsuky APT Deploying Linux Backdoor Gomir in South Korean Cyber Attacks

FBI Seizes BreachForums Again, Urges Users to Report Criminal Activity

VMware Patches Severe Security Flaws in Workstation and Fusion Products

BypassFuzzer - Fuzz 401/403/404 Pages For Bypasses

The original 403fuzzer.py :)

Fuzz 401/403ing endpoints for bypasses

This tool performs various checks via headers, path normalization, verbs, etc. to attempt to bypass ACL's or URL validation.

It will output the response codes and length for each request, in a nicely organized, color coded way so things are reaable.

I implemented a "Smart Filter" that lets you mute responses that look the same after a certain number of times.

You can now feed it raw HTTP requests that you save to a file from Burp.

Follow me on twitter! @intrudir

Usage

usage: bypassfuzzer.py -h

Specifying a request to test

Best method: Feed it a raw HTTP request from Burp!

Simply paste the request into a file and run the script!
- It will parse and use cookies & headers from the request. - Easiest way to authenticate for your requests

python3 bypassfuzzer.py -r request.txt

Using other flags

Specify a URL

python3 bypassfuzzer.py -u http://example.com/test1/test2/test3/forbidden.html

Specify cookies to use in requests:
some examples:

--cookies "cookie1=blah"
-c "cookie1=blah; cookie2=blah"

Specify a method/verb and body data to send

bypassfuzzer.py -u https://example.com/forbidden -m POST -d "param1=blah&param2=blah2"
bypassfuzzer.py -u https://example.com/forbidden -m PUT -d "param1=blah&param2=blah2"

Specify custom headers to use with every request Maybe you need to add some kind of auth header like Authorization: bearer <token>

Specify -H "header: value" for each additional header you'd like to add:

bypassfuzzer.py -u https://example.com/forbidden -H "Some-Header: blah" -H "Authorization: Bearer 1234567"

Smart filter feature!

Based on response code and length. If it sees a response 8 times or more it will automatically mute it.

Repeats are changeable in the code until I add an option to specify it in flag

NOTE: Can't be used simultaneously with -hc or -hl (yet)

# toggle smart filter on
bypassfuzzer.py -u https://example.com/forbidden --smart

Specify a proxy to use

Useful if you wanna proxy through Burp

bypassfuzzer.py -u https://example.com/forbidden --proxy http://127.0.0.1:8080

Skip sending header payloads or url payloads

# skip sending headers payloads
bypassfuzzer.py -u https://example.com/forbidden -sh
bypassfuzzer.py -u https://example.com/forbidden --skip-headers

# Skip sending path normailization payloads
bypassfuzzer.py -u https://example.com/forbidden -su
bypassfuzzer.py -u https://example.com/forbidden --skip-urls

Hide response code/length

Provide comma delimited lists without spaces. Examples:

# Hide response codes
bypassfuzzer.py -u https://example.com/forbidden -hc 403,404,400  

# Hide response lengths of 638
bypassfuzzer.py -u https://example.com/forbidden -hl 638  

TODO

• [x] Automatically check other methods/verbs for bypass
• [x] absolute domain attack
• [ ] Add HTTP/2 support
• [ ] Looking for ideas. Ping me on twitter! @intrudir

PingRAT - Secretly Passes C2 Traffic Through Firewalls Using ICMP Payloads

Features:

• Uses ICMP for Command and Control
• Undetectable by most AV/EDR solutions
• Written in Go

Installation:

Download the binaries

or build the binaries and you are ready to go:

$ git clone https://github.com/Nemesis0U/PingRAT.git
$ go build client.go
$ go build server.go

Usage:

Server:

./server -h
Usage of ./server:
  -d string
        Destination IP address
  -i string
        Listener (virtual) Network Interface (e.g. eth0)

Client:

./client -h
Usage of ./client:
  -d string
        Destination IP address
  -i string
        (Virtual) Network Interface (e.g., eth0)

New Spectre-Style 'Pathfinder' Attack Targets Intel CPU, Leak Encryption Keys and Data

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China-Linked Hackers Suspected in ArcaneDoor Cyberattacks Targeting Network Devices

C2-Cloud - The C2 Cloud Is A Robust Web-Based C2 Framework, Designed To Simplify The Life Of Penetration Testers

The C2 Cloud is a robust web-based C2 framework, designed to simplify the life of penetration testers. It allows easy access to compromised backdoors, just like accessing an EC2 instance in the AWS cloud. It can manage several simultaneous backdoor sessions with a user-friendly interface.

C2 Cloud is open source. Security analysts can confidently perform simulations, gaining valuable experience and contributing to the proactive defense posture of their organizations.

Reverse shells support:

1. Reverse TCP
2. Reverse HTTP
3. Reverse HTTPS (configure it behind an LB)
4. Telegram C2

Demo

C2 Cloud walkthrough: https://youtu.be/hrHT_RDcGj8
Ransomware simulation using C2 Cloud: https://youtu.be/LKaCDmLAyvM
Telegram C2: https://youtu.be/WLQtF4hbCKk

Key Features

🔒 Anywhere Access: Reach the C2 Cloud from any location.
🔄 Multiple Backdoor Sessions: Manage and support multiple sessions effortlessly.
🖱️ One-Click Backdoor Access: Seamlessly navigate to backdoors with a simple click.
📜 Session History Maintenance: Track and retain complete command and response history for comprehensive analysis.

Tech Stack

🛠️ Flask: Serving web and API traffic, facilitating reverse HTTP(s) requests.
🔗 TCP Socket: Serving reverse TCP requests for enhanced functionality.
🌐 Nginx: Effortlessly routing traffic between web and backend systems.
📨 Redis PubSub: Serving as a robust message broker for seamless communication.
🚀 Websockets: Delivering real-time updates to browser clients for enhanced user experience.
💾 Postgres DB: Ensuring persistent storage for seamless continuity.

Architecture

Application setup

• Management port: 9000
  
• Reversse HTTP port: 8000
  

• Reverse TCP port: 8888
  

• Clone the repo

• Optional: Update chait_id, bot_token in c2-telegram/config.yml
• Execute docker-compose up -d to start the containers Note: The c2-api service will not start up until the database is initialized. If you receive 500 errors, please try after some time.

Credits

Inspired by Villain, a CLI-based C2 developed by Panagiotis Chartas.

License

Distributed under the MIT License. See LICENSE for more information.

Contact

• LinkedIn
• Twitter

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Noia - Simple Mobile Applications Sandbox File Browser Tool

Noia is a web-based tool whose main aim is to ease the process of browsing mobile applications sandbox and directly previewing SQLite databases, images, and more. Powered by frida.re.

Please note that I'm not a programmer, but I'm probably above the median in code-savyness. Try it out, open an issue if you find any problems. PRs are welcome.

Installation & Usage

npm install -g noia
noia

Features

• Explore third-party applications files and directories. Noia shows you details including the access permissions, file type and much more.

• View custom binary files. Directly preview SQLite databases, images, and more.

• Search application by name.

• Search files and directories by name.

• Navigate to a custom directory using the ctrl+g shortcut.

• Download the application files and directories for further analysis.

• Basic iOS support

and more

Setup

Desktop requirements:

• node.js LTS and npm
• Any decent modern desktop browser

Noia is available on npm, so just type the following command to install it and run it:

npm install -g noia
noia

Device setup:

Noia is powered by frida.re, thus requires Frida to run.

Rooted Device

See: * https://frida.re/docs/android/ * https://frida.re/docs/ios/

Non-rooted Device

• https://koz.io/using-frida-on-android-without-root/
• https://github.com/sensepost/objection/wiki/Patching-Android-Applications
• https://nowsecure.com/blog/2020/01/02/how-to-conduct-jailed-testing-with-frida/

Security Warning

This tool is not secure and may include some security vulnerabilities so make sure to isolate the webpage from potential hackers.

LICENCE

MIT

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Microsoft Warns of Widening APT29 Espionage Attacks Targeting Global Orgs

Kasseika Ransomware Using BYOVD Trick to Disarm Security Pre-Encryption

New iShutdown Method Exposes Hidden Spyware Like Pegasus on Your iPhone

Zero-Day Alert: Update Chrome Now to Fix New Actively Exploited Vulnerability

Pmkidcracker - A Tool To Crack WPA2 Passphrase With PMKID Value Without Clients Or De-Authentication

This program is a tool written in Python to recover the pre-shared key of a WPA2 WiFi network without any de-authentication or requiring any clients to be on the network. It targets the weakness of certain access points advertising the PMKID value in EAPOL message 1.

Program Usage

python pmkidcracker.py -s <SSID> -ap <APMAC> -c <CLIENTMAC> -p <PMKID> -w <WORDLIST> -t <THREADS(Optional)>

NOTE: apmac, clientmac, pmkid must be a hexstring, e.g b8621f50edd9

How PMKID is Calculated

The two main formulas to obtain a PMKID are as follows:

1. Pairwise Master Key (PMK) Calculation: passphrase + salt(ssid) => PBKDF2(HMAC-SHA1) of 4096 iterations
2. PMKID Calculation: HMAC-SHA1[pmk + ("PMK Name" + bssid + clientmac)]

This is just for understanding, both are already implemented in find_pw_chunk and calculate_pmkid.

Obtaining the PMKID

Below are the steps to obtain the PMKID manually by inspecting the packets in WireShark.

*You may use Hcxtools or Bettercap to quickly obtain the PMKID without the below steps. The manual way is for understanding.

To obtain the PMKID manually from wireshark, put your wireless antenna in monitor mode, start capturing all packets with airodump-ng or similar tools. Then connect to the AP using an invalid password to capture the EAPOL 1 handshake message. Follow the next 3 steps to obtain the fields needed for the arguments.

Open the pcap in WireShark:

• Filter with wlan_rsna_eapol.keydes.msgnr == 1 in WireShark to display only EAPOL message 1 packets.
• In EAPOL 1 pkt, Expand IEEE 802.11 QoS Data Field to obtain AP MAC, Client MAC
• In EAPOL 1 pkt, Expand 802.1 Authentication > WPA Key Data > Tag: Vendor Specific > PMKID is below

If access point is vulnerable, you should see the PMKID value like the below screenshot:

Demo Run

Disclaimer

This tool is for educational and testing purposes only. Do not use it to exploit the vulnerability on any network that you do not own or have permission to test. The authors of this script are not responsible for any misuse or damage caused by its use.

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WiFi-password-stealer - Simple Windows And Linux Keystroke Injection Tool That Exfiltrates Stored WiFi Data (SSID And Password)

Have you ever watched a film where a hacker would plug-in, seemingly ordinary, USB drive into a victim's computer and steal data from it? - A proper wet dream for some.

Disclaimer: All content in this project is intended for security research purpose only.

Introduction

During the summer of 2022, I decided to do exactly that, to build a device that will allow me to steal data from a victim's computer. So, how does one deploy malware and exfiltrate data? In the following text I will explain all of the necessary steps, theory and nuances when it comes to building your own keystroke injection tool. While this project/tutorial focuses on WiFi passwords, payload code could easily be altered to do something more nefarious. You are only limited by your imagination (and your technical skills).

Setup

After creating pico-ducky, you only need to copy the modified payload (adjusted for your SMTP details for Windows exploit and/or adjusted for the Linux password and a USB drive name) to the RPi Pico.

Prerequisites

• Physical access to victim's computer.

• Unlocked victim's computer.

• Victim's computer has to have an internet access in order to send the stolen data using SMTP for the exfiltration over a network medium.

• Knowledge of victim's computer password for the Linux exploit.

Requirements - What you'll need

• Raspberry Pi Pico (RPi Pico)
• Micro USB to USB Cable
• Jumper Wire (optional)
• pico-ducky - Transformed RPi Pico into a USB Rubber Ducky
• USB flash drive (for the exploit over physical medium only)

Note:

• It is possible to build this tool using Rubber Ducky, but keep in mind that RPi Pico costs about $4.00 and the Rubber Ducky costs $80.00.

• However, while pico-ducky is a good and budget-friedly solution, Rubber Ducky does offer things like stealthiness and usage of the lastest DuckyScript version.

• In order to use Ducky Script to write the payload on your RPi Pico you first need to convert it to a pico-ducky. Follow these simple steps in order to create pico-ducky.

Keystroke injection tool

Keystroke injection tool, once connected to a host machine, executes malicious commands by running code that mimics keystrokes entered by a user. While it looks like a USB drive, it acts like a keyboard that types in a preprogrammed payload. Tools like Rubber Ducky can type over 1,000 words per minute. Once created, anyone with physical access can deploy this payload with ease.

Keystroke injection

The payload uses STRING command processes keystroke for injection. It accepts one or more alphanumeric/punctuation characters and will type the remainder of the line exactly as-is into the target machine. The ENTER/SPACE will simulate a press of keyboard keys.

Delays

We use DELAY command to temporarily pause execution of the payload. This is useful when a payload needs to wait for an element such as a Command Line to load. Delay is useful when used at the very beginning when a new USB device is connected to a targeted computer. Initially, the computer must complete a set of actions before it can begin accepting input commands. In the case of HIDs setup time is very short. In most cases, it takes a fraction of a second, because the drivers are built-in. However, in some instances, a slower PC may take longer to recognize the pico-ducky. The general advice is to adjust the delay time according to your target.

Exfiltration

Data exfiltration is an unauthorized transfer of data from a computer/device. Once the data is collected, adversary can package it to avoid detection while sending data over the network, using encryption or compression. Two most common way of exfiltration are:

• Exfiltration over the network medium.

• This approach was used for the Windows exploit. The whole payload can be seen here.

• Exfiltration over a physical medium.

• This approach was used for the Linux exploit. The whole payload can be seen here.

Windows exploit

In order to use the Windows payload (payload1.dd), you don't need to connect any jumper wire between pins.

Sending stolen data over email

Once passwords have been exported to the .txt file, payload will send the data to the appointed email using Yahoo SMTP. For more detailed instructions visit a following link. Also, the payload template needs to be updated with your SMTP information, meaning that you need to update RECEIVER_EMAIL, SENDER_EMAIL and yours email PASSWORD. In addition, you could also update the body and the subject of the email.

 Note:

• After sending data over the email, the .txt file is deleted.

• You can also use some an SMTP from another email provider, but you should be mindful of SMTP server and port number you will write in the payload.

• Keep in mind that some networks could be blocking usage of an unknown SMTP at the firewall.

Linux exploit

In order to use the Linux payload (payload2.dd) you need to connect a jumper wire between GND and GPIO5 in order to comply with the code in code.py on your RPi Pico. For more information about how to setup multiple payloads on your RPi Pico visit this link.

Storing stolen data to USB flash drive

Once passwords have been exported from the computer, data will be saved to the appointed USB flash drive. In order for this payload to function properly, it needs to be updated with the correct name of your USB drive, meaning you will need to replace USBSTICK with the name of your USB drive in two places.

In addition, you will also need to update the Linux PASSWORD in the payload in three places. As stated above, in order for this exploit to be successful, you will need to know the victim's Linux machine password, which makes this attack less plausible.

Bash script

In order to run the wifi_passwords_print.sh script you will need to update the script with the correct name of your USB stick after which you can type in the following command in your terminal:

echo PASSWORD | sudo -S sh wifi_passwords_print.sh USBSTICK

where PASSWORD is your account's password and USBSTICK is the name for your USB device.

Quick overview of the payload

NetworkManager is based on the concept of connection profiles, and it uses plugins for reading/writing data. It uses .ini-style keyfile format and stores network configuration profiles. The keyfile is a plugin that supports all the connection types and capabilities that NetworkManager has. The files are located in /etc/NetworkManager/system-connections/. Based on the keyfile format, the payload uses the grep command with regex in order to extract data of interest. For file filtering, a modified positive lookbehind assertion was used ((?<=keyword)). While the positive lookbehind assertion will match at a certain position in the string, sc. at a position right after the keyword without making that text itself part of the match, the regex (?<=keyword).* will match any text after the keyword. This allows the payload to match the values after SSID and psk (pre-shared key) keywords.

For more information about NetworkManager here is some useful links:

• Manually creating NetworkManager profiles in keyfile format
• Description of keyfile settings plugin

Exfiltrated data formatting

Below is an example of the exfiltrated and formatted data from a victim's machine in a .txt file.

USB Mass Storage Device Problem

One of the advantages of Rubber Ducky over RPi Pico is that it doesn't show up as a USB mass storage device once plugged in. Once plugged into the computer, all the machine sees it as a USB keyboard. This isn't a default behavior for the RPi Pico. If you want to prevent your RPi Pico from showing up as a USB mass storage device when plugged in, you need to connect a jumper wire between pin 18 (GND) and pin 20 (GPIO15). For more details visit this link.

 Tip:

• Upload your payload to RPi Pico before you connect the pins.
• Don't solder the pins because you will probably want to change/update the payload at some point.

Payload Writer

When creating a functioning payload file, you can use the writer.py script, or you can manually change the template file. In order to run the script successfully you will need to pass, in addition to the script file name, a name of the OS (windows or linux) and the name of the payload file (e.q. payload1.dd). Below you can find an example how to run the writer script when creating a Windows payload.

python3 writer.py windows payload1.dd

Limitations/Drawbacks

• This pico-ducky currently works only on Windows OS.

• This attack requires physical access to an unlocked device in order to be successfully deployed.

• The Linux exploit is far less likely to be successful, because in order to succeed, you not only need physical access to an unlocked device, you also need to know the admins password for the Linux machine.

• Machine's firewall or network's firewall may prevent stolen data from being sent over the network medium.

• Payload delays could be inadequate due to varying speeds of different computers used to deploy an attack.

• The pico-ducky device isn't really stealthy, actually it's quite the opposite, it's really bulky especially if you solder the pins.

• Also, the pico-ducky device is noticeably slower compared to the Rubber Ducky running the same script.

• If the Caps Lock is ON, some of the payload code will not be executed and the exploit will fail.

• If the computer has a non-English Environment set, this exploit won't be successful.

• Currently, pico-ducky doesn't support DuckyScript 3.0, only DuckyScript 1.0 can be used. If you need the 3.0 version you will have to use the Rubber Ducky.

To-Do List

• Fix Caps Lock bug.
• Fix non-English Environment bug.
• Obfuscate the command prompt.
• Implement exfiltration over a physical medium.
• Create a payload for Linux.
• Encode/Encrypt exfiltrated data before sending it over email.
• Implement indicator of successfully completed exploit.
• Implement command history clean-up for Linux exploit.
• Enhance the Linux exploit in order to avoid usage of sudo.

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Top 20 Most Popular Hacking Tools in 2023

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2. Gmailc2 - A Fully Undetectable C2 Server That Communicates Via Google SMTP To Evade Antivirus Protections And Network Traffic Restrictions





3. Faraday - Open Source Vulnerability Management Platform





4. CloakQuest3r - Uncover The True IP Address Of Websites Safeguarded By Cloudflare





5. Killer - Is A Tool Created To Evade AVs And EDRs Or Security Tools





6. Geowifi - Search WiFi Geolocation Data By BSSID And SSID On Different Public Databases





7. Waf-Bypass - Check Your WAF Before An Attacker Does





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10. LSMS - Linux Security And Monitoring Scripts





11. GodPotato - Local Privilege Escalation Tool From A Windows Service Accounts To NT AUTHORITY\SYSTEM





12. Bypass-403 - A Simple Script Just Made For Self Use For Bypassing 403





13. ThunderCloud - Cloud Exploit Framework





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15. Kscan - Simple Asset Mapping Tool





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20. XSS-Exploitation-Tool - An XSS Exploitation Tool

Reimagining Network Pentesting With Automation

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NetProbe - Network Probe

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.

Features

• Scan for devices on a specified IP address or subnet
• Display the IP address, MAC address, manufacturer, and device model of discovered devices
• Live tracking of devices (optional)
• Save scan results to a file (optional)
• Filter by manufacturer (e.g., 'Apple') (optional)
• Filter by IP range (e.g., '192.168.1.0/24') (optional)
• Scan rate in seconds (default: 5) (optional)

Download

You can download the program from the GitHub page.

$ git clone https://github.com/HalilDeniz/NetProbe.git

Installation

To install the required libraries, run the following command:

$ pip install -r requirements.txt

Usage

To 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)

Example:

$ python3 netprobe.py -t 192.168.1.0/24 -i eth0 -o results.txt -l

Help Menu

$ 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)

Default Scan

$ python3 netprobe.py 

Live Tracking

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 -l

Save Results

You 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

┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ IP Address   ┃ MAC Address       ┃ Packet Size ┃ Manufacturer                 ┃
┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ 192.168.1.1  │ **:6e:**:97:**:28 │ 102         │ ASUSTek COMPUTER INC.        │
│ 192.168.1.3  │ 00:**:22:**:12:** │ 102         │ InPro Comm                   │
│ 192.168.1.2  │ **:32:**:bf:**:00 │ 102         │ Xiaomi Communications Co Ltd │
│ 192.168.1.98 │ d4:**:64:**:5c:** │ 102         │ ASUSTek COMPUTER INC.        │
│ 192.168.1.25 │ **:49:**:00:**:38 │ 102         │ Unknown                      │
└──────────────┴───────────────────┴─────────────┴──────────────────────────────┘

Contact

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:

• Mywebsite: Denizhalil
• LinkedIn: LinkedIn
• TryHackMe: TryHackMe
• Instagram: Instagram
• YouTube: YouTube
• Email: halildeniz313@gmail.com

License

This program is released under the MIT LICENSE. See LICENSE for more information.