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Microsoft just took down a subscription phishing service whose ai reads stolen inboxes, ranks…

Yethikrishna ROriginal on Threads

microsoft just took down a subscription phishing service whose ai reads stolen inboxes, ranks targets, and writes the personalized messages, after it hit 10,000 organizations. the ai doesn’t break in, it does the social engineering part.

the barrier to running a fraud gang just dropped to a monthly fee.

Context

Verified date: Microsoft's posts Disrupting EvilTokens and Unmasking EvilTokens are dated Sep 22, 2026. Microsoft says EvilTokens, which emerged in February 2026, became one of the most widely used phishing-as-a-service platforms, giving criminals AI to tailor lures and analyze compromised inboxes for high-value targets. Dark Reading reports Microsoft seized 50 websites and disabled more than 150 domains.

Microsoft's earlier action, dated Jan 14, 2026, targeted a different global cybercrime subscription service.

How it compares

The takedown of an AI-assisted phishing subscription service matches Microsoft's Sep 22 posts, and the service is named EvilTokens. The AI tailors lures and analyzes inboxes; Microsoft's wording is about device code phishing, so that the AI does the social engineering part is a fair reading, not a quote. The figure of 10,000 organizations was not seen in the sources read, so unsupported here, not refuted. in the excerpts read. 'The barrier to running a fraud gang just dropped to a monthly fee' is the author's opinion.

Related work

Watch next

  • Read Microsoft's EvilTokens post for the number of affected organizations.

Sources

  1. Microsoft On the Issues: disrupting EvilTokens, the AI chatbot built for cybercrimeblogs.microsoft.com
  2. Microsoft Security: unmasking EvilTokens, device code phishingmicrosoft.com
  3. Dark Reading: Microsoft disrupts EvilTokens device code phishing servicedarkreading.com

Provenance

The note above is reproduced unedited from the original post, first published on Threads on 1 October 2026 at 11:06 IST. Sources are the papers and datasets the note draws on.

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