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

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

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

Research code for red-teaming AI auto-mode monitors, including simulation evals, fuzzing, and monitor implementations for Claude Code and Codex…

The AI that really does things. Any OS. Any Platform. The lobster way. 🦞

Defensive framework that maintains a safety-focused shadow memory to detect and block prompt-injection and long-horizon threats against LLM agents…

Research code for poisoning attacks on the PGM-index, demonstrating how to craft adversarial data to degrade learned index performance.

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

Customer Assurance Operating System. Answer the security questionnaires your customers send you, once.

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

First iteration of ML based Feedback WAF

Red Team AI Benchmark: Evaluating LLMs for authorized offensive-security tasks. Red Team AI Benchmark is a CLI model-evaluation benchmark. It…

Multi-agent automated context management for long horizon tasks in local AI Agents

Proof-of-concept and research repository for CVE-2024-37054, an unsafe deserialization flaw in MLflow PyFunc model loading that can lead to remote…

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

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