HEIF Heist Flaw in Image Decoders Could Enable Data Theft and Remote Code Execution

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Summary

Researchers found that malicious HEIF, HEIC, and AVIF files could exploit flaws in libheif and libde265. The issue was patched, but unpatched deployments may remain at risk; researchers also reported using a chained flaw to access OpenAI repositories.

Key points

  • Researchers said malicious HEIF, HEIC, or AVIF files could trigger memory corruption in libheif and libde265, potentially enabling data disclosure or remote code execution.
  • The researchers identified OpenAI, AWS, Meta, GitHub Enterprise, and Discourse as potentially at risk; the article does not establish that all were vulnerable or compromised.
  • Researchers reported chaining two vulnerabilities to access OpenAI employee accounts and internal repositories, and demonstrated access by opening a pull request using an employee’s Codex credentials.
  • The researchers said the flaw was discovered July 25 and patched within days; deployments without the latest upstream security patches may remain vulnerable.
  • The researchers received a $6,500 bug bounty from OpenAI for their work.
  • The researchers said AI tools helped reduce exploit-development time to roughly one to three days, while exploitation could require target-version fingerprinting and many tailored image uploads.

Article Details

Vulnerability Types
  • Memory corruption in image-decoding software
  • Arbitrary heap disclosure
  • Remote code execution
Exploitation Status
reported
Exploit Availability
unknown
Patch Status
available

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