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Image: JA3 and JA4 hashes of Remcos C2 traffic Future releases of NetworkMiner will hopefully also include our JA4 fingerprinting engine. We have therefore built a JA4 fingerprinting engine that we’ve included in this CapLoader release.

Most of the fingerprinting methods in the JA4+ suite are patent pending except for the TLS client fingerprinting method “JA4”, which FoxIO does not have patent claims and is not planning to pursue patent coverage for. As you’ve probably guessed JA4+ is a successor to the JA3 and JA3S hashes that we’ve learned to love (we added JA3 fingerprinting to NetworkMiner in 2019). In short JA4+ is a suite of methods designed to fingerprint implementations of a specific set of protocols, including TLS, HTTP and SSH. John Althouse announced the new JA4+ fingerprint methods a couple of months ago on the FoxIO blog. If the right-clicked item is an alert for a “Malicious protocol” then CapLoader will automatically populate the Mapledia Name field, as shown in the screenshot (win.loda). All you need to do is to enter your ThreatFox API-key in CapLoader’s settings, then right-click a flow, service or alert and select “Submit to ThreatFox”. You can also query for a domain or IP address to see if it’s a known C2 address of any malware or botnet.ĬapLoader has supported OSINT lookup of IP addresses and domains on ThreatFox since the release of version 1.9, but with this release we also add the ability to contribute by sharing IOCs with the infosec community. Such as RedLine Stealer, and it’ll return a list of URLs, domain names and IP:port pairs used for C2 communication or payload delivery for that malware.

ThreatFox can be queried for a particular malware family, ThreatFox is a free online service for sharing indicators of compromise (IOCs) from malware. However, detection of malicious TLS encrypted protocols is a difficult challenge and might be subject to false positives. It is sometimes even possible to identify malicious protocols that use TLS encryption, such as

Socks5Systemz which all run on top of HTTP. Our PIPI feature can also detect protocols inside of other protocols, such as Image: Protocols identified in PCAP files with malware traffic from various sandboxes ( ANY.RUN, Hybrid-Analysis, Joe Sandbox and Triage)

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