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Dshell is a free digital forensics and incident response tool. fatt is a free digital forensics and incident response tool. Compare features, ratings, integrations, and community reviews side by side to find the best digital forensics and incident response fit for your security stack.
Based on our analysis of available product data, here is our conclusion:
Incident responders and forensics teams who need to hunt through pcap files without vendor lock-in should reach for Dshell; its plugin architecture lets you write custom decoders for proprietary protocols in hours instead of waiting for vendor updates. The 5,487 GitHub stars and active community mean someone has likely already built the decoder you need, or the foundation to extend it yourself. Skip this if your team lacks Python skills or needs a GUI; Dshell is command-line native and assumes you're comfortable reading packet structures, not clicking through wizards.
Incident response teams who need to pivot quickly from packet captures to threat hunting will find fatt indispensable; it extracts JA3 and HASSH fingerprints that let you correlate C2 signatures across your full traffic history in minutes instead of hours. Free and 679 GitHub stars means it's already baked into most mature IR playbooks, lowering your team's time-to-triage on network-based indicators. Skip this if you're looking for packet analysis beyond metadata extraction or need a GUI; fatt is CLI-only and does one job well, which is exactly why it works.
An extensible network forensic analysis framework with deep packet analysis and plugin support.
A script for extracting network metadata and fingerprints such as JA3 and HASSH from packet capture files or live network traffic.
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Common questions about comparing Dshell vs fatt for your digital forensics and incident response needs.
Dshell: An extensible network forensic analysis framework with deep packet analysis and plugin support..
fatt: A script for extracting network metadata and fingerprints such as JA3 and HASSH from packet capture files or live network traffic..
Both serve the Digital Forensics and Incident Response market but differ in approach, feature depth, and target audience.
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