skills/mukul975/anthropic-cybersecurity-skills/performing-brand-monitoring-for-impersonation/Gen Agent Trust Hub
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.runto call thednstwistutility 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), andrdap.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 inSKILL.md) andcrt.sh(search_certificate_transparencyinscripts/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
BeautifulSoupandjson.loadsfor parsing, but lacks specific sanitization for instruction-like strings in external content.
Audit Metadata