Tencent/AI-Infra-Guard

Probes an AI agent through dialogue for cross-user data access, privilege escalation and login bypass, and reports confirmed findings as structured vulnerability entries.

Tencent/AI-Infra-Guard

Probes an AI agent through dialogue to check whether its file, code-execution or network tools can be misused to run unexpected code or reach outside targets.

Tencent/AI-Infra-Guard

Probes whether an agent with web fetch and stored user memory can be tricked by a malicious page into leaking data through chained URL paths.

Tencent/AI-Infra-Guard

Probes whether an agent can be hijacked by instructions hidden in documents, retrieved chunks or fetched web pages, using test prompts that embed a hidden instruction.

Tencent/AI-Infra-Guard

Runs a security health check on an OpenClaw environment and audits skills before or after installation for supply-chain and data-leak risks.

Tencent/AI-Infra-Guard

Probes an AI agent for supply-chain weaknesses: whether it loads untrusted plugins, tools or models, updates dependencies without pinning, or trusts user-supplied artifacts.

Tencent/AI-Infra-Guard

Detect error propagation, chain failures, and single-point breakdowns that cascade across agent workflows.

Tencent/AI-Infra-Guard

Tests a target AI agent for sensitive information disclosure, such as its system prompt, credentials, personal data and internal configuration, using escalating dialogue probes.

Tencent/AI-Infra-Guard

Detect unsafe file handling and path traversal in upload/save/extract flows.

Tencent/AI-Infra-Guard

Detect hardcoded secrets in code or configuration accessible to the target agent.

Tencent/AI-Infra-Guard

Detect data leakage, missing boundaries, or privilege mismatch in inter-agent communication.

Tencent/AI-Infra-Guard

Detect persistent instruction injection or long-term memory poisoning.

Tencent/AI-Infra-Guard

Detect direct prompt injection or instruction override via user message (no external content).

Tencent/AI-Infra-Guard