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Security Flaws Across UK Government Sites Exposed ‘God-Tier’ Information
IW

Isabella Ward

· 1 min read

BusinessWIRED: AI

Security Flaws Across UK Government Sites Exposed ‘God-Tier’ Information

A security researcher has found more than 100 serious vulnerabilities in publicly available UK government code, putting sensitive data at risk as a result of poor cyber hygiene.

The UK government has defaulted to openly publishing code it produces with public money for around a decade because it’s transparent, and making it easier for code to be reused is cost-efficient. This includes within the Department of Health and Social Care, and the Home Office, as well as local authorities.

But funding squeezes have left departments neglecting maintenance and improvement of their technology estate. While ControlPlane security researcher Chris Nesbitt-Smith found the vulnerabilities using Claude’s Opus and Sonnet AI models, he says that he used consumer-grade models on a laptop and that many of the issues could have been caught by a routine IT health check. “None of this is the level of sophistication that general media is worried about in terms of cyber attacks,” he tells WIRED. “It’s all daft stuff.”

In the most serious case he identified, the Planning Inspectorate, which handles land-use matters across England, had failed to fully remove a login after it accidentally committed them to public repository GitHub. The fact the credentials gave such wide access—and seemingly didn’t expire—compounded with the agency’s accidental publication of them, “made it particularly dangerous for them.”

The complete Microsoft Entra ID would have given “god-tier” read and write access to all SharePoint sites and private employee OneDrive accounts, according to Nesbitt-Smith, including HR records. It also would have given access to sensitive libraries which safeguard evidence under legal hold for statutory planning inquiries and appeals, according to the security researcher who found it. “The option for ransomwaring them, for encrypting all the data, or just stealing all the data, was abundantly there,” Nesbitt-Smith says.

Original source

This story was published by WIRED: AI and written by Isabella Ward. SyncAI.news shows a preview; the complete article is on the publisher's site.

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