Suricata TLS Analysis

Suricata TLS analysis

Suricata TLS Analysis — Deep Inspection of TLS Traffic and JA3 Fingerprints

Suri Oculus provides advanced Suricata TLS Analysis for inspecting encrypted traffic, detecting anomalies in TLS handshakes, and analyzing JA3/JA3S fingerprints. The module operates in real time and helps identify unusual client or server behavior across encrypted sessions.

Real-Time Inspection of TLS Handshakes

Suricata generates detailed TLS logs including:

  • TLS version

  • cipher suites

  • extensions

  • session parameters

  • client and server fingerprints

  • certificate metadata

Suri Oculus visualizes these TLS handshake characteristics in a clean and intuitive interface, enabling analysts to detect irregularities quickly.

JA3 and JA3S Fingerprint Analysis

TLS fingerprinting is one of the most powerful methods for identifying malicious traffic that uses encryption.

Suri Oculus supports:

  • JA3 (client hello)

  • JA3S (server hello)

  • detection of rare fingerprints

  • correlation with anomalies

  • behavioral deviation scoring

This helps reveal malware families, botnet traffic, or suspicious automated clients.

AI-Powered TLS Anomaly Detection

Integrated with the AI module, the TLS Analysis system can:

  • detect unusual JA3 combinations

  • find mismatched fingerprints

  • identify outlier cipher suites

  • detect anomalous TLS versions

  • correlate TLS anomalies with flow behavior

This hybrid approach significantly increases detection capability for encrypted threats.

Optimized for Low-Power Devices

Despite the complexity of TLS data, Suri Oculus is optimized for:

  • microservers

  • home routers

  • ARM SBCs

  • low-power VPS instances

TLS logs are parsed using efficient C++ feature extraction routines.

Related Modules

Explore other modules:

External Resources

Learn more about Suricata TLS logs:
– https://suricata.io/documentation/