
TraceTree
Runtime behavioral analysis tool that sandboxes suspicious packages in Docker, traces syscalls with strace, maps process cascades into directed…

Runtime behavioral analysis tool that sandboxes suspicious packages in Docker, traces syscalls with strace, maps process cascades into directed…

Focused web crawler that uses page classifiers and link prioritization to efficiently collect domain-specific or pattern-matching web pages, with…

Hunting for passwords with deep learning

The world's fastest agentic crawler. Reclaimed. Reinvented. Ready for war.

Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.

This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources…

AI-powered threat intelligence platform for automated CVE/ransomware monitoring, domain surveillance, data leak detection, and incident response with…

0-day malware detection for binaries, source & scripts (that doesn't suck)

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

Benchmark and evaluation harness testing whether LLM agents resist malicious instructions hidden in multimodal skill images, with 108 cases across…

Fix-Like Artifacts With Embedded Defects

Runtime guard skill that detects and blocks malicious skill-induced attacks in skill-augmented agents, with an MCTS loop that evolves the guard…

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports…

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

First iteration of ML based Feedback WAF

Suppress vulnerabilities applying Kubernetes context to scans

Collects multi-source security logs from reproducible Docker attack scenarios, builds attack chains, and provides the SecLog-Bench-216 benchmark for…