analyzing-ransomware-network-indicators
Identify ransomware-related network indicators, including C2 beaconing patterns, TOR exit node connections, data exfiltration flows, and encryption key exchange, by analyzing Zeek conn.log and NetFlow data. Use when threat hunting for active ransomware network activity or investigating suspected pre-encryption exfiltration during incident response.
63
75%
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Low
Low-risk findings worth noting
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tessl review fix ./skills/analyzing-ransomware-network-indicators/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
At runtime, the workflow reads outsider-authored free text from user-provided Zeek conn.log or NetFlow CSV/JSON files passed via `--input` and parses each line into LLM-ingested structured fields (e.g., `parse_zeek_conn_log` / `parse_netflow_csv`).
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Commit
9429fe9
- Audited
- Security analysis
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