
compaction-laundering
Security research on context compaction in coding agents: shows how forged role labels in untrusted content survive summarization and get executed,…

Security research on context compaction in coding agents: shows how forged role labels in untrusted content survive summarization and get executed,…

Adversarial image attacks on vision-language web agents, from visual grounding to browser execution

Research implementation of an LLM jailbreak agent that bypasses commercial model guardrails using harmless prompt weaving and adaptive tree search.

Research code for training adapters that make LLM agent backdoors survive benign fine-tuning, with trigger-rate scoring, SWE-bench evaluation, and…

Benchmark and defense code for persistent memory attacks on OpenClaw-style computer-use agents, with memory-zoning mitigation, attack scenarios, and…

Benchmark harness measuring where prompt injection defenses fire in tool-using LLM agent pipelines, tracking canary tokens across exposed, persisted,…

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

Agentic jailbreak framework for LLM-based agents using scheme-based task decomposition, multi-turn disguising strategies, and adaptive self-evolution…

Web-based adversary emulation platform that orchestrates Atomic Red Team tests across Windows endpoints via Go agents, with MITRE ATT&CK mapping, APT…

Curated collection of LLM jailbreak prompts and bypass techniques, documenting adversarial inputs that circumvent AI model safety guardrails.

Benchmarking prompt injection detections for web agents.

Experiments for control-token chain-of-thought suppression and parser-leniency attacks on tool-using LLM agents

Research code and experiments for defending tool-integrated LLM agents against adversarial attacks, extending Agent Security Bench with new defense…

Trajectory-aware evolutionary search framework for red-teaming LLM agents over MCP servers, generating adversarial prompts to map vulnerability…

Benchmark for evaluating AI agent safety against attacks embedded in skill-facing context, with 155 cases across 6 risk domains, measuring task…

A security scanner for your LLM agentic workflows

Clusters and elements to attach to MISP events or attributes (like threat actors)

🐢 Open-Source Evaluation & Testing library for LLM Agents