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Cops, CrowdStrike disrupt Sality botnet by poisoning the network and diverting into sinkholes

The Register · Securityby Jessica Lyons ()2 min read1
AI summary · glm-5.3-flashSummaries by Vani AI

Law enforcement and CrowdStrike disrupted the 23-year-old Sality P2P botnet, isolating 15,000+ infected machines and seizing linked domains.

International law enforcement, working with CrowdStrike and the Shadowserver Foundation, executed a peer-to-peer sinkhole operation against Sality, a botnet active since 2003 that delivered malware to more than 15,000 machines worldwide. Sality's primary payload for eight years was EggJagger, a clipboard hijacker that swaps copied bitcoin and ethereum wallet addresses with attacker-controlled ones, yielding at least $150,000 in stolen cryptocurrency. The US Justice Department, FBI, and DoD Office of Inspector General's Defense Criminal Investigative Service seized Sality-linked domains, with parallel action in Bulgaria, Hungary, and Romania. The Shadowserver Foundation is coordinating with ISPs and CSIRTs to identify infections and notify victims.

Key facts
  • Sality has operated since 2003, distributing credential theft, spam, proxy, and DDoS payloads.
  • EggJagger clipboard hijacking stole at least $150,000 in bitcoin and ethereum payments.
  • The takedown poisoned bots' super-peer lists and inserted sinkhole entries to isolate infected machines.
  • US DOJ, FBI, and DoD OIG seized domains; Bulgarian, Hungarian, and Romanian police acted in Europe.
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From the original article

2 min read at theregister.com

International law enforcement agencies, working with CrowdStrike and Shadowserver Foundation, have disrupted Sality, a 23-year-old peer-to-peer botnet used to deliver malware to more than 15,000 machines worldwide.

The Register · Security

By Jessica Lyons · theregister.com

Read the full article at The Register · Security

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.