network-forensics

Purpose

This skill enables the AI to investigate network traffic patterns, identify anomalies, and mitigate threats by analyzing packet captures, logs, and real-time data. It focuses on detecting intrusions, malware communications, and unauthorized access.

When to Use

Use this skill during security incidents, routine monitoring, or compliance audits. Apply it when network logs show unusual traffic spikes, unknown IP connections, or potential DDoS attacks. Ideal for blue-team operations in environments with high network activity, such as corporate networks or cloud infrastructures.

Key Capabilities

• Parse PCAP files to extract metadata like source/destination IPs, ports, and protocols.
• Detect anomalies using rulesets, e.g., identifying SYN floods or unusual port scans.
• Generate reports in JSON or CSV format for threat intelligence.
• Integrate with tools like tcpdump for live capture or Zeek for advanced protocol analysis.
• Support real-time monitoring via API hooks to flag threats immediately.

Usage Patterns

To use this skill, first authenticate with an API key via environment variable (e.g., $NETWORK_FORENSICS_API_KEY). Invoke it programmatically in Python scripts or via CLI for analysis tasks. For file-based analysis, provide a PCAP file; for live monitoring, specify a network interface. Always wrap calls in error-handling blocks to manage failures. Chain with other blue-team skills for automated workflows, like feeding results to an intrusion detection system.