building-adversary-infrastructure-tracking-system

You can automate adversary infrastructure mapping by collecting passive DNS, WHOIS data, and certificate transparency logs. This pivots from seed indicators to co-hosted domains, registrants, and TLS relationships to reveal domain-IP relationships and map C2 networks over time.

Pivoting from a seed domain involves querying passive DNS history and certificate transparency data to link infrastructure. By aggregating these data points, you can cluster related IPs, registrants, and TLS certificates to identify co-hosted domains and map the threat network.

Yes, tracking C2 infrastructure requires API access to SecurityTrails or PassiveTotal, and Shodan for IP enrichment. You also need Python 3.9+ with libraries for DNS, WHOIS, and graph visualization, plus a graph database or NetworkX to map the data.

Certificate transparency data helps link threat actor domains by exposing TLS relationships across multiple sources. When threat actors reuse certificates across different domains, this data allows you to connect infrastructure nodes that might not share IP addresses or WHOIS records.

Yes, you can use NetworkX for infrastructure graphing, clustering, and hub identification. It allows you to visualize C2 infrastructure over time by mapping the relationships between domains, IPs, and certificates collected during the tracking process.

While certificate transparency logs are effective for linking domains via TLS relationships, they do not capture infrastructure using self-signed certificates or no TLS. You must combine this with passive DNS and WHOIS pivoting to ensure comprehensive adversary infrastructure tracking.