sabx
Fail
Audited by Gen Agent Trust Hub on Jul 17, 2026
Risk Level: HIGHREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADSPROMPT_INJECTIONCREDENTIALS_UNSAFE
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill exposes the
sabx extension install <repo>command, which allows the installation of code from arbitrary GitHub repositories. This provides a mechanism for executing untrusted third-party code within the agent's operating environment.\n- [COMMAND_EXECUTION]: Includes commands to control host power states:sabx queue complete-action shutdown,hibernate, andstandby. These allow the agent to terminate the session, put the host to sleep, or shut down the machine entirely.\n- [EXTERNAL_DOWNLOADS]: The primary tool installation is performed viago install github.com/avivsinai/sabx/cmd/sabx@latest, which fetches code from a third-party GitHub repository.\n- [PROMPT_INJECTION]: The skill presents an indirect prompt injection surface by ingesting data from external, potentially attacker-controlled sources.\n - Ingestion points: RSS feed data, NZB file metadata (titles, categories, script names), and log files accessed through commands like
sabx rss list,sabx queue list, andsabx logs list.\n - Boundary markers: The instructions do not define delimiters or specific safety instructions to ignore or isolate commands embedded in the processed data.\n
- Capability inventory: The agent has access to sensitive capabilities including remote extension installation, system power management, and broad configuration modification.\n
- Sanitization: No evidence of input validation or content sanitization is provided for data retrieved from remote Usenet or RSS sources.\n- [CREDENTIALS_UNSAFE]: The skill mentions a configuration option
SABX_ALLOW_INSECURE_STOREwhich allows the application to store credentials in a plain file instead of the OS keyring. It also supports accepting API keys via environment variables (SABX_API_KEY) and command-line arguments, which can lead to credential exposure in shell history or process listings.
Recommendations
- AI detected serious security threats
Audit Metadata