
GyoiThon
GyoiThon is a growing penetration test tool using Machine Learning.

GyoiThon is a growing penetration test tool using Machine Learning.

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

Evaluation framework for AI penetration testing agents that measures validated vulnerability discovery using LLM-based semantic matching, bipartite…

Air-gapped cybersecurity assistant for security professionals. 100% offline AI-powered analysis tool for Nmap, Volatility, BloodHound, Metasploit,…

Droidefense: Advance Android Malware Analysis Framework

Malware detection using learning and information retrieval for Android

A machine learning malware analysis framework for Android apps.

C-based Android static analysis framework for decompilation, secret detection, endpoint discovery, permission analysis, and native library scanning…

Android Antivirus which doesn't require root, adb, ca install and cloud with many features and ways to detect more zero-day malware

VEDAS-Driven Autonomous Generation of Suricata Rules for CVEs

Trajectory-aware evolutionary search framework for red-teaming LLM agents over MCP servers, generating adversarial prompts to map vulnerability…

Google Tensor Cracks

Official code for the ISSTA 2026 paper: Is "Knowing It’s Malicious" Enough? Evaluating LLMs for Fine-Grained Malware Behavior Auditing

Curated reading list and taxonomy of attack and defense research for mobile on-device AI systems, covering adversarial, backdoor, model stealing, and…

Image-based Android malware detection framework tackling obfuscation and concept drift. Includes curated datasets and Python code for training…

Hybrid ML and heuristic-based URL phishing detector with real-time analysis, explainable confidence scores, and REST API for programmatic security…

Memory-free continual learning framework for malware classification using mode connectivity-based interpolation. Supports class-incremental and…

Machine learning-based exploit for CVE-2023-1177 vulnerability, enabling automated security testing and exploitation of the identified flaw.