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Enterprise & Industry4 min read

AI helps uncover P2PShell vulnerability that hit 70% of websites

A new vulnerability called P2PShell was identified, affecting the coding language that powers 70% of the world’s websites. The flaw allows attackers to run code remotely or access server data, and it caused several European government sites to go offline temporarily this past week while they applied a fix.

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Key points

  • P2PShell vulnerability impacts 70% of websites and allows remote code execution
  • AI helped researchers discover the flaw, showing how it can aid attackers
  • European government sites went offline temporarily while applying the fix

Researchers used artificial intelligence to map how the vulnerability could be exploited, a process that also shows how AI can aid bad actors. Patrick Fussell, IBM’s global head of adversary simulation, warned that much of the internet runs on old technology that may contain similar weaknesses. The article stresses that users have little control; the responsibility lies with organizations to install security patches and maintain good hygiene.

The piece offers practical steps: keep software up to date, use password managers like Bitwarden, 1Password or Dashlane, adopt passkeys supported by Apple, Google and Microsoft, enable two‑factor authentication, monitor accounts, freeze credit reports, and set a family code word for verification. It also notes that AI‑generated phishing can bypass traditional red flags, making vigilance even more critical.

Full story from cnn.com · by Lisa Eadicicco, Hadas Gold · via Reddit AI communitiesOpen source ↗

AI is exposing how fragile the web really is. What you can do to stay safe

cnn.com · 26 October 2026

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This text was published by cnn.com and written by Lisa Eadicicco, Hadas Gold. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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IBMResilienceSocialProof SecurityAppleGoogleSamsungPatrick FussellJud DresslerRachel TobacGang Wang

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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