performing-brand-monitoring-for-impersonation

Pass

Audited by Gen Agent Trust Hub on Sep 17, 2026

Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
  • [COMMAND_EXECUTION]: The skill uses subprocess.run to call the dnstwist utility for domain permutation analysis, which is a common and appropriate method for identifying lookalike domains.
  • [EXTERNAL_DOWNLOADS]: The skill retrieves information from well-known and trusted services, including Google Play Store, crt.sh (Certificate Transparency logs), and rdap.org (WHOIS data), to identify potential impersonation attempts.
  • [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted external data from web pages and APIs (e.g., app names from search results). While this presents a theoretical surface for injection if processed by an LLM, the risk is inherent to the skill's monitoring function and it follows standard parsing logic.
  • Ingestion points: Data is fetched from play.google.com (Step 1 in SKILL.md) and crt.sh (search_certificate_transparency in scripts/agent.py).
  • Boundary markers: None present.
  • Capability inventory: The skill utilizes subprocess execution (dnstwist), file writing for reporting, and network operations.
  • Sanitization: The skill employs BeautifulSoup and json.loads for parsing, but lacks specific sanitization for instruction-like strings in external content.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 17, 2026, 11:49 PM