
ai-llm-red-team-handbook
AI / LLM Red Team Field Manual & Consultant’s Handbook

AI / LLM Red Team Field Manual & Consultant’s Handbook

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

LSTM-based classifier for detecting domain generation algorithm (DGA) domains, with Keras implementations of neural network and bigram models for DNS…

Automated security analysis pipeline that runs CodeQL queries on GitHub repositories and uses LLMs to classify and filter true vulnerabilities from…

AI-based, context-driven network device ranking

A fast universal code security scanner, written in Rust. Batteries included: supports 14 languages, TUI for triage, secrets, post-quantum audits,…

LLM-agent-powered concolic execution engine that instruments source code, summarizes path constraints in natural language, and generates test cases…

A network packet forensics tool for SSH

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

Malware Mutation Using Reinforcement Learning and Generative Adversarial Networks

Security scanner for AI/ML model files. Detects malicious code, backdoors, and vulnerabilities before deployment


takes shellcode bad-bytes and banishes them, returning cleaned shellcode with preserved functionalities

Detection of rootkit file hiding activities through analysis of shifts in kernel function execution times.

AMBER ICI v5: local-first Ollama investigative command center with case-scoped evidence, agent chains, hybrid retrieval, streaming analysis, graph…

Linux system-call monitor using ptrace to trace file, process, network, and memory activity, with namespace isolation and machine learning…

Programmable packet inspection engine with NIDS, DNS classification, frequency analysis, and auto-regex generation. Supports Python/Ruby/Java/Lua…

Self-hosted multi-agent environment for Go with LLM-powered pentesting agents (exploiter, reverser, threathunter, webscanner) that automate…