performing-directory-traversal-testing

Warn

Audited by Gen Agent Trust Hub on Apr 9, 2026

Risk Level: MEDIUMDATA_EXFILTRATIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
  • [DATA_EXFILTRATION]: The skill provides automated scripts and manual instructions to target and read highly sensitive system files.
  • Evidence:
  • Accesses system configuration and credential files: /etc/shadow, /home/user/.ssh/id_rsa, /var/www/html/.env, and C:\Windows\System32\drivers\etc\hosts (found in SKILL.md and scripts/agent.py).
  • Targets process environment data via /proc/self/environ, which often contains API keys and credentials.
  • [COMMAND_EXECUTION]: The skill documents and automates techniques to escalate file inclusion vulnerabilities to Remote Code Execution (RCE) on target systems.
  • Evidence:
  • Instructions for log poisoning using PHP system commands (e.g., <?php system($_GET['cmd']); ?>) in SKILL.md.
  • Automation of PHP wrapper exploitation using php://input, expect://id, and data:// protocols in scripts/agent.py.
  • [EXTERNAL_DOWNLOADS]: The skill references and relies on several third-party security tools and wordlists.
  • Evidence:
  • Instructions to install dotdotpwn using apt install.
  • References to ffuf, Burp Suite Professional, and SecLists wordlists from external GitHub repositories.
  • [PROMPT_INJECTION]: The script processes external data from untrusted network sources which could lead to indirect prompt injection if the target server returns malicious content that is subsequently processed by the agent.
  • Evidence:
  • Ingestion points: resp.text from requests.get() calls in scripts/agent.py is read directly and substrings are included in generated reports.
  • Boundary markers: None identified; response content is processed without encapsulation or warnings to the LLM.
  • Capability inventory: The script performs network requests (requests.Session().get) and generates technical reports.
  • Sanitization: No sanitization or filtering is applied to the response body before searching for indicators or including it in the report logic.
Audit Metadata
Risk Level
MEDIUM
Analyzed
Apr 9, 2026, 06:48 PM