pentest

Warn

Audited by Gen Agent Trust Hub on Sep 24, 2026

Risk Level: MEDIUMCOMMAND_EXECUTIONPRIVILEGE_ESCALATIONEXTERNAL_DOWNLOADSDYNAMIC_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
  • [COMMAND_EXECUTION]: The skill provides a wrapper script ht_run.py which allows the agent to execute arbitrary shell commands on the host system or within Docker containers via the --command flag.
  • [PRIVILEGE_ESCALATION]: The skill is designed to automatically escalate privileges by attempting to run commands with sudo -n when it encounters permission errors. It also supports a --privileged flag for Docker execution, which grants the container access to all host devices.
  • [EXTERNAL_DOWNLOADS]: The skill pulls and executes external Docker images from various repositories, including instrumentisto/nmap, projectdiscovery/nuclei, and kalilinux/kali-rolling. It also provides an --install mechanism to download and set up additional tools from external sources.
  • [DYNAMIC_EXECUTION]: The ht_run.py script dynamically constructs and executes command strings at runtime based on tool identifiers and arguments provided by the agent or user.
  • [INDIRECT_PROMPT_INJECTION]: The skill ingests untrusted data from external sources such as domain records, website content, and security scan results, which could contain malicious instructions designed to influence the agent's behavior.
  • Ingestion points: The agent processes output from tools like sherlock, maigret, nuclei, and httpx (e.g., SKILL.md workflows).
  • Boundary markers: No specific boundary markers or instructions to ignore embedded commands are present in the workflows or handling instructions.
  • Capability inventory: The skill has powerful capabilities including raw network socket access, filesystem writes, and shell command execution via the ht_run.py script.
  • Sanitization: The instructions do not define any sanitization or validation procedures for tool outputs before they are processed by the agent.
Audit Metadata
Risk Level
MEDIUM
Analyzed
Sep 24, 2026, 08:01 AM