
HEIF Heist: How AI-Powered Research Exposed Critical Supply Chain Vulnerabilities
In July 2024, Hacktron researchers discovered HEIF Heist, a critical vulnerability in widely-used software decoder libraries libheif and libde265 that process image files. Using AI models including Claude and GPT-5.6 Sol, researchers demonstrated how attackers could upload malicious HEIF, HEIC, and AVIF image files to trigger memory corruption and achieve remote code execution. The attack compromised major platforms including OpenAI's internal repositories, AWS services, Meta's product suite, and GitHub Enterprise servers, allowing attackers to steal sensitive data, access tokens, and user files across interconnected services. This incident highlights the growing sophistication of AI-assisted vulnerability research and the cascading risks in modern software supply chains. As organizations increasingly integrate AI models and rely on shared decoder libraries, a single flaw can expose vast interconnected ecosystems to data theft and unauthorized access.
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