hunt-ato
Pass
Audited by Gen Agent Trust Hub on Sep 29, 2026
Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADSDYNAMIC_EXECUTIONINDIRECT_PROMPT_INJECTIONDATA_EXFILTRATION
Full Analysis
- [COMMAND_EXECUTION]: The skill provides numerous command templates using security tools to demonstrate vulnerability exploitation.
- Evidence: Includes commands for
ffufto brute force password reset codes (Path 3) and security answers (Path 8). - Evidence: Includes usage of
hashcatfor offline JWT secret cracking (Path 6). - Evidence: Includes a bash timing oracle loop utilizing
curlto identify valid accounts (Path 7). - [EXTERNAL_DOWNLOADS]: The skill initiates network requests to external sites to retrieve configuration or demonstrate leakage.
- Evidence: Path 6 uses
curlto fetch JWKS configuration fromhttps://target.com/.well-known/jwks.json. - [DYNAMIC_EXECUTION]: The skill employs inline script execution to perform cryptographic operations.
- Evidence: Path 6 uses
python3 -cto execute an inline Python string for encoding JWTs. - [DATA_EXFILTRATION]: The skill performs network operations to non-whitelisted external domains as part of its attack demonstrations.
- Evidence: Path 1 demonstrates host-header injection using
attacker.com. - Evidence: Path 2 demonstrates token leakage via the Referer header to
analytics.com. - [INDIRECT_PROMPT_INJECTION]: The skill creates an attack surface by ingests untrusted target data into shell command templates without boundary markers or sanitization.
- Ingestion points: The skill instructs the agent to demonstrations attacks against user-specified targets (e.g.,
target.com) and accounts (e.g.,victimB@company.com). - Boundary markers: Absent; there are no instructions for the agent to validate or escape user-provided strings before interpolation.
- Capability inventory: The skill utilizes shell execution, network tools (
curl,ffuf), and script interpreters (python3). - Sanitization: Absent; the provided command templates rely on direct string interpolation of user-provided values.
Audit Metadata