
ultralytics
Deep learning framework for object detection, segmentation, classification, pose estimation, and tracking using pre-trained YOLO models and…

Deep learning framework for object detection, segmentation, classification, pose estimation, and tracking using pre-trained YOLO models and…

GyoiThon is a growing penetration test tool using Machine Learning.

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…

Serverless AWS security automation framework that ingests threat intelligence, applies ML-based anomaly detection (RCF, IP Insights), and enriches…

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

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

LLM powered fuzzing via OSS-Fuzz.

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

A machine learning malware analysis framework for Android apps.

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

Metasploit for machine learning.

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

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

Droidefense: Advance Android Malware Analysis Framework