IRC Botnet Traffic Capture Analysis
Working from a captured IRC botnet traffic dump, analysts used AVL Code to reconstruct the full C2 communication picture through protocol-level behavioral analysis.
Built with AVL Code + the Landi model
Overview
From nothing but a 42KB pcap file of 466 packets with zero application-layer payload, protocol-level behavioral analysis and fingerprint modeling reconstructed the complete C2 communication picture of an IRC botnet — and produced battle-ready IOCs, detection rules and response recommendations.
Key results
- Identified IRC botnet C2 communication traces with precision
- Reconstructed the full attack chain and C2 communication pattern
- Extracted a complete IOC list and network behavior fingerprints
- Formed a reusable SOP template for pcap analysis
Technical highlights
Practical value
Security operations can import the IOCs and detection rules straight into firewalls, WAFs and EDR for blocking and hunting; threat-intelligence teams gain fresh intelligence on anonymous DNS providers and malicious IPs; and incident responders can reuse the case as a standard template for rapid triage of similar pcaps.
Artifacts
Session replays & reports are original records in Simplified Chinese · Built with AVL Code + the Landi model