skills/mukul975/anthropic-cybersecurity-skills/analyzing-network-traffic-of-malware/Gen Agent Trust Hub
analyzing-network-traffic-of-malware
Pass
Audited by Gen Agent Trust Hub on Apr 6, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill performs legitimate cybersecurity analysis tasks as described in its metadata. All scripts and instructions align with the stated purpose of malware traffic analysis.
- [COMMAND_EXECUTION]: The skill utilizes system binaries including
tshark,suricata, andcapinfosvia subprocess calls and shell commands to analyze packet captures. These are standard tools for network forensics. - [EXTERNAL_DOWNLOADS]: References well-known and trusted security tools (Wireshark, Zeek, Suricata, NetworkMiner) and standard Python libraries (
scapy,dpkt). No downloads from untrusted or suspicious external sources are present. - [PROMPT_INJECTION]: The skill possesses an indirect prompt injection surface common in data analysis tools. It processes untrusted network traffic data which could theoretically contain malicious instructions.
- Ingestion points: Network traffic data is ingested from PCAP files using
tsharkandscapyinSKILL.mdandscripts/agent.py. - Boundary markers: Untrusted packet content is not separated from agent instructions by specific boundary markers or delimiters.
- Capability inventory: The skill has the capability to execute system commands (
subprocess.run) and write files to the local filesystem. - Sanitization: There is no evidence of sanitization for packet-derived strings (e.g., DNS queries, HTTP URIs) before they are processed by the agent.
Audit Metadata