component-vuln-intel

Fail

Audited by Gen Agent Trust Hub on Sep 11, 2026

Risk Level: HIGHEXTERNAL_DOWNLOADSREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONINDIRECT_PROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill fetches data from well-known and trusted services including the GitHub API (api.github.com) and the CIRCL CVE search API (cve.circl.lu) to retrieve vulnerability reports and repository information.
  • [REMOTE_CODE_EXECUTION]: Several terminal instructions involve piping curl output directly into python3. While this is a high-risk pattern, the usage here involves a hardcoded Python script provided via the -c flag to parse and format JSON data, which does not result in the execution of the downloaded content as code.
  • [COMMAND_EXECUTION]: Instructions include shell commands (e.g., searchsploit {C} {V}) and URL generation (e.g., qbase64=$(echo -n 'app="{C}"' | base64)) that use unquoted placeholders. If an agent fills these placeholders with unsanitized input, it could lead to command injection within the local terminal environment.
  • [INDIRECT_PROMPT_INJECTION]: The skill processes and displays content from external, untrusted sources such as GitHub README files.
  • Ingestion points: Retrieves content from GitHub repositories and vulnerability database summaries.
  • Boundary markers: Lacks explicit delimiters or instructions to ignore instructions embedded within the fetched content.
  • Capability inventory: Employs tools with significant capabilities including terminal (for shell commands) and browser_navigate (for web access).
  • Sanitization: There is no evidence of filtering or sanitizing the retrieved text before presenting it to the agent.
Recommendations
  • HIGH: Downloads and executes remote code from: https://api.github.com/search/code?q={C}+RCE+OR+shell+OR+exploit+language:python&per_page=5, https://api.github.com/search/repositories?q={C}+{V}+exploit+OR+poc+OR+CVE&sort=updated&per_page=10, https://cve.circl.lu/api/search/{C}/{V} - DO NOT USE without thorough review
Audit Metadata
Risk Level
HIGH
Analyzed
Sep 11, 2026, 06:20 PM