Advancing Threat Intelligence: JA4 fingerprints and inter-request signals

Cloudflare has implemented advanced fingerprinting techniques, such as HTTP Signature, ClientHello fingerprint (v1 & v2), HTTP/2 fingerprint, and JA3 fingerprint, to enhance security measures and improve data analytics capabilities. These methods help accurately score and classify bots, detect anomalies, and identify potential threats in real-time with microsecond latency. The introduction of JA4 fingerprint and JA4 Signals further strengthens Cloudflare's network intelligence by providing comprehensive traffic analysis, precise anomaly detection, and dynamic security enforcement based on aggregated data from a global scale.