
garak
Modular LLM vulnerability scanner that probes for hallucination, data leakage, prompt injection, jailbreaks, and toxicity using static, dynamic, and…

Modular LLM vulnerability scanner that probes for hallucination, data leakage, prompt injection, jailbreaks, and toxicity using static, dynamic, and…

The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers…

MCP-enabled multi-agent framework for declarative YAML-driven agentic workflows, used for AI-assisted code auditing, vulnerability triage, and…

ThreatSentry AI is an intelligent threat hunting dashboard that leverages machine learning to proactively identify and prioritize risks in your…

AI Smart Contract Security Analysis and PoC Generation Framework

Suppress vulnerabilities applying Kubernetes context to scans

VulnAgent-X: A Layered Agentic Framework for Repository-Level Vulnerability Detection

Automating Host Exploitation with AI

Python library for local LLM-powered security analysis with Ghidra binary analysis, C/C++ vulnerability scanning, and MCP tool integration for…

A minimal LLM-powered zero-day vulnerability scanner by AISLE.

A Semantics-Enhanced Learnable Vulnerability Detector

The code in "DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization"

Website defacement attack detection with deep learning

Research repository documenting LLM generalization ceilings in code security vulnerability detection, with cross-evaluation across synthetic and…

The code of VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection

Restructured and Collaborated SIEM and CVSS Infrastructure. Presented at Blackhat Asia Arsenal 2020.

Replication package studying how LLM vulnerability auditors defer to static-analysis evidence, with a tree-sitter C/C++ front end, controlled…