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From Forgotten Tool to Powerful Pivot: Using JA3 to Expose Attackers’ Infrastructure 

ID: 0d849995-d272-51c1-af78-18f39f16a800

STIX ID: report--0d849995-d272-51c1-af78-18f39f16a800

Feed Name: ANY.RUN's Cybersecurity Blog

Threat Score
70/100

Date Published: 2026-01-21

Date Updated: 2026-04-26

Author: GridGuardGhoul

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This article demonstrates using JA3 TLS client fingerprints as resilient behavioral indicators to detect and pivot on malicious tooling. It shows how frequency analysis and contextual enrichment (SNI, JA3S, URIs, host telemetry) turn JA3s into investigation leads, and includes concrete mappings: JA3 hashes tied to Remcos, an old Tor JA3 linked to WannaCry, a LogMeIn Rescue fingerprint, and Skuld-related JA3s with exfiltration to Discord, Telegram, and GoFile, plus SHA256s and file/HTTP IOCs—recommending TI Lookup and sandbox pivots to accelerate SOC investigations.

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