Individual skill
analyzing-network-traffic-for-incidents
Analyzes network traffic captures and flow data to identify adversary activity during security incidents, including command-and-control communications, lateral movement, data exfiltration, and exploitation attempts. Uses Wireshark, Zeek, and NetFlow analysis techniques. Activates for requests involving network traffic analysis, packet capture investigation, PCAP analysis, network forensics, C2 traffic detection, or exfiltration detection.
skills/analyzing-network-traffic-for-incidents/SKILL.md
Source commit 54a798831d2266a3ca61ce68a7acb80b81160d57
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 35,881
- Repository last updated
- Aug 31, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- network-forensics Declared skill tag
- pcap-analysis Declared skill tag
- wireshark Declared skill tag
- zeek Declared skill tag
- traffic-analysis Declared skill tag
- data Derived category
- security Derived category
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LICENSEasset · 11,255 bytesSKILL.mdcore · 10,605 bytesSKILL.mdcore · 10,605 bytesSKILL.mdcore · 10,605 bytesSKILL.mdcore · 10,605 bytesSKILL.mdcore · 10,605 bytesSKILL.mdcore · 10,605 bytesreferences/api-reference.mddoc · 2,825 bytesscripts/agent.pyruns · 7,804 bytes
Read excerpt
# Analyzing Network Traffic for Incidents
## When to Use
- SIEM alerts on anomalous network traffic patterns requiring deeper investigation
- C2 beaconing is suspected and needs confirmation through packet-level analysis
- Data exfiltration volume or destination must be quantified from network evidence
- Lateral movement between systems needs to be traced through network connections
- An IDS/IPS alert requires packet-level validation to confirm or dismiss
**Do not use** for host-based forensic analysis (process execution, file system artifacts); use endpoint forensics tools instead.
## Prerequisites
