V’ger V’ger is an interactive command-line application for post-exploitation of authenticated Jupyter instances with a focus on AI/ML security operations. User Stories As a Red Teamer, you’ve found Jupyter credentials, but...
AttackGen AttackGen is a cybersecurity incident response testing tool that leverages the power of large language models and the comprehensive MITRE ATT&CK framework. The tool generates tailored incident response scenarios...
STRIDE GPT STRIDE GPT is an AI-powered threat modeling tool that leverages OpenAI’s GPT models to generate threat models and attack trees for a given application based on the STRIDE...
Pentest Muse Building an AI agent that can automate parts of pentesting jobs and provide live suggestions to pentesters. Requirements Python 3.12 or later Necessary Python packages as listed in requirements.txt...
AI Exploits The AI world has a security problem and it’s not just in the inputs given to LLMs such as ChatGPT. Based on research done by Protect AI and independent security...
Nebula Nebula is an AI-powered assistant specifically designed for the field of ethical hacking. It provides a unique capability for users to input commands using natural language processing, facilitating a...
OMLASP OMLASP – Open Machine Learning Application Security Project is intended to become a standard for auditing Machine Learning algorithms. It will not only focus on the security of the algorithms...
Machine Learning / Malware Analysis
by do son · Published December 4, 2022 · Last modified December 16, 2024
Malware Detection using machine learning Analysis modules: Static: Features are extracted from PE file headers (mainly Optional Header) Dynamic: Features are the API calls traced using Cuckoo Sandbox Datasets construction...
shennina Shennina is an automated host exploitation framework. The mission of the project is to fully automate the scanning, vulnerability scanning/analysis, and exploitation using Artificial Intelligence. Shennina is integrated with...
What is the N3XT ST3P? With the explosive growth of web applications since the early 2000s, web-based attacks have progressively become more rampant. One common solution is the Web App...
Information Gathering / Machine Learning / Web Information Gathering
by do son · Published August 23, 2022
ReconPal: Leveraging NLP for Infosec Recon is one of the most important phases that seem easy but takes a lot of effort and skill to do right. One needs to...
Machine Learning / Penetration Testing
by do son · Published June 27, 2022 · Last modified December 16, 2024
MUSHIKAGO-femto is an automated penetration testing and first aid tool, which focuses on the verification of post-exploitation. Features Full automatic penetration testing tool IT penetration testing OT/ICS penetration testing (Only...
Deepfake Offensive Toolkit dot (aka Deepfake Offensive Toolkit) makes real-time, controllable deepfakes ready for virtual camera injection. dot is created for performing penetration testing against e.g. identity verification and video conferencing systems,...
DroidDetective DroidDetective is a Python tool for analysing Android applications (APKs) for potential malware-related behaviour and configurations. When provided with a path to an application (APK file) Droid Detective will...
Machine Learning / Vulnerability Analysis
by do son · Published May 2, 2022 · Last modified December 16, 2024
AISY – Deep Learning-based Framework for Side-Channel Analysis AISY framework is a python-based framework that allows efficient and scalable applications of deep learning to profiling side-channel analysis (SCA). This project...
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