python-prototype-pollution

Warn

Audited by Gen Agent Trust Hub on Sep 23, 2026

Risk Level: MEDIUMREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONDATA_EXFILTRATIONOBFUSCATIONPRIVILEGE_ESCALATION
Full Analysis
  • [REMOTE_CODE_EXECUTION]: The skill provides specific chains to achieve code execution on target systems, leveraging modules like os and random through attribute injection. Evidence: Payloads in references/exploitation-payloads.md such as __init__.__globals__.random._os.system and __init__.__globals__.os.system.
  • [COMMAND_EXECUTION]: The documentation includes multiple shell commands for executing attacks and interacting with target APIs. Evidence: Use of curl -X POST commands to trigger pollution and the recommendation to use flask-unsign for session forging.
  • [DATA_EXFILTRATION]: Methods for reading sensitive application configuration and system files are provided. Evidence: Payloads to leak SECRET_KEY and access /etc/passwd by modifying static directory paths or template search paths.
  • [OBFUSCATION]: The skill teaches techniques to evade security controls using encoding and escape sequences. Evidence: references/pydash-bypass.md details the use of octal encoding (e.g., \137\137class\137\137) in Cookies to bypass WAF filtering.
  • [PRIVILEGE_ESCALATION]: Techniques for elevating user privileges by corrupting class attributes are documented. Evidence: Instructions to pollute User.is_admin to gain administrative access.
Audit Metadata
Risk Level
MEDIUM
Analyzed
Sep 23, 2026, 04:24 AM