error-log-mining

Pass

Audited by Gen Agent Trust Hub on Jul 31, 2026

Risk Level: SAFECOMMAND_EXECUTIONDATA_EXFILTRATIONPROMPT_INJECTION
Full Analysis
  • [COMMAND_EXECUTION]: The scripts/mine_error_log.py script utilizes subprocess.run to call the curl binary. The URL passed to this command is derived directly from user-supplied command-line arguments, facilitating dynamic network-based command execution.\n- [DATA_EXFILTRATION]: The skill is purpose-built to harvest sensitive data from external systems. It employs regular expressions to search for and extract database connection strings (DB_USER, DB_PASSWORD, DB_HOST), various API keys (Stripe, Google, AWS, JWT), and internal IP addresses. The harvested data is systematically saved into local files (intel_summary.md and JSON reports).\n- [PROMPT_INJECTION]: The skill ingests untrusted content from remote PHP error logs and presents this data to the agent for analysis, which represents a surface for Indirect Prompt Injection.\n
  • Ingestion points: External error_log files are fetched via curl and read into memory in both the shell procedures within SKILL.md and the Python analysis script scripts/mine_error_log.py.\n
  • Boundary markers: There are no explicit boundary markers or instructions to the agent to distinguish between data and potential commands within the analyzed logs.\n
  • Capability inventory: The skill has capabilities including shell command execution (curl, grep), file system modification (mkdir, writing .md and .json files), and network connectivity.\n
  • Sanitization: The skill does not perform sanitization or safety filtering on the extracted log content before it is processed by the agent.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 31, 2026, 04:47 PM
Security Audit — agent-trust-hub — error-log-mining