DeepTrap

DeepTrap English | 中文 Open-world security evaluation for OpenClaw agents under adversarial execution contexts. DeepTrap is a security benchmark for evaluating whether OpenClaw agents can complete benign user tasks while resisting malicious execution-context pressure: poisoned workspace files,...

ActBench v0.1.0

ActBench ActBench is a self-evolving benchmark of behavioral safety in cowork agents. It defines behavioral safety as whether an agent's execution remains within the permissions and state changes required by a benign task, and evaluates realized behavioral risk from execution trajectories rather...

Red-Teaming Agent Execution Contexts: Open-World Security Evaluation on OpenClaw

Agentic language-model systems increasingly rely on mutable execution contexts, including files, memory, tools, skills, and auxiliary artifacts, creating security risks beyond explicit user prompts. This paper presents DeepTrap, an automated framework for discovering contextual vulnerabilities in...