Nemesis 2.2 Adds Large-Container Processing, LLM Agents and Expanded DPAPI Support

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Summary

Nemesis 2.2 adds large-container processing, optional LLM-assisted analysis, faster processing, host-level file linking and reporting, and support for decrypting Chromium cookies and logins protected with DPAPI and app-bound encryption.

Key points

  • Nemesis can process large containers, including disk images, by extracting their files; YAML configuration supports metadata and file filters.
  • Optional LLM agents support automated finding triage, credential analysis, document summarization and translation, .NET analysis, and chatbot queries. The authors recommend privacy-verified LLM providers.
  • On the authors’ test machine, text-file processing improved from one file every 1.5–4 seconds to 10–30 files per second; results vary with workload and hardware.
  • The release adds support for Chromium cookie and login decryption across DPAPI, app-bound encryption, and CNG-protected keys, provided the required files and credential material are available.
  • A source field links related files by host, supports suggested file collection, and enables host-specific reports.
  • Other additions include ZIP scanning of Git history, a Velociraptor collector, and alert settings that can be changed after deployment.

Article Details

Event Type
Software release
Impact
Nemesis 2.2 adds large-container and disk-image processing, optional LLM-assisted analysis, improved DPAPI handling, and support for decrypting Chromium browser cookies and logins. The release also adds file linking and host-specific reporting and improves processing performance. These features support both offensive operations and defensive triage of collected or exfiltrated data, including assessment of exposed credentials and potential access.

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