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Police remove Gootloader from 100-plus servers after 25,000 infections

Original title: Gootloader Malware Disrupted After Infecting 25,000 Computers

Security Affairsby Pierluigi Paganini ()3 min read
Part of a story covered by 11 sourcesOperation Endgame seizes Gootloader, CastleRAT and StealC infrastructureMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

The Justice Department says ransomware use against at least 44 US victims caused about $28.8 million in losses.

The US Department of Justice said law enforcement removed Gootloader from more than 100 servers, including compromised WordPress sites, seized US domains used to deliver and control it, and notified victims. Since 2018 the malware has infected at least 25,000 computers; operators sold botnet access to ransomware groups. The Justice Department said at least 44 US victims, including the Department of War and the Defense Industrial Base, lost about $28.8 million. The court-authorized action was coordinated with Operation Endgame and partners in Europe, Canada, the UK, and Australia, with technical help from OpenAI, Fraunhofer FKIE, Shadowserver, and Sharktech.

Key facts
  • Seized domains now show a law enforcement seizure banner.
  • Gootloader has been used to deliver SunCrypt, REvil, Kronos, and Cobalt Strike.
  • Mandiant tracked GootKit operators as UNC2565; the family has been active since 2014.
  • Shadowserver worked with ISPs and CERTs to find infected machines and help cleanup.
Security assessment · AI, from the article

Impact: Botnet access sold onward for ransomware and other payloads

What to do
  1. 1.If contacted by Shadowserver or a national CERT, follow their Gootloader cleanup guidance.
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From the original article

3 min read at securityaffairs.com

International law enforcement disrupts Gootloader, seizing domains and taking down over 100 servers linked to 25,000 infected computers. The U. S.

Security Affairs

By Pierluigi Paganini · securityaffairs.com

Read the full article at Security Affairs

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.