network-protocols

To write network protocol detections, analyze protocol internals like DNS resolution chains, TLS handshakes, and SMB authentication patterns to identify behavioral anomalies. This approach focuses on telemetry signals rather than static indicators to differentiate malicious traffic.

HTTP/S C2 beaconing and domain fronting are identified by analyzing protocol-level behavior within HTTP/S traffic patterns. Detection signals focus on regular interval callbacks and traffic routing anomalies rather than relying solely on static threat indicators.

TLS handshake analysis detects protocol abuse by examining the cryptographic negotiation phases for anomalies. By evaluating telemetry sources across Windows, cloud, and hybrid environments, detections can identify suspicious TLS behavior indicative of malicious activity.

Yes, protocol-level detection engineering applies to lateral movement by analyzing LDAP bind/search patterns and RDP session mechanics. This allows you to recognize unauthorized lateral movement and C2 patterns by monitoring specific protocol telemetry.

The best way to detect malicious SMB authentication patterns is by understanding SMB protocol internals and monitoring authentication telemetry. Focusing on behavioral deviations in session setup and file access provides reliable detections in Windows environments.