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This incident demonstrates how advanced LLMs like Claude Opus 5 can accelerate the weaponization of legacy software vulnerabilities, such as heap-buffer overflows in image decoders, to compromise high-value AI infrastructure. The attack highlights a critical security gap where peripheral services hosting AI models become entry points for stealing credentials and accessing internal code repositories. For the industry, this underscores the urgent need for robust supply chain security and automated patching mechanisms specifically tailored for environments running large language models.
Researchers Use Claude Opus 5 to Hack OpenAI Forum and Reach Internal Repositories
Researchers used Anthropic’s Claude Opus 5 to help weaponize an image-decoder vulnerability, compromise OpenAI’s community forum, take over employees’ ChatGPT and Codex accounts, and reach an internal source-code repository. The July 25, 2026 operation by Hacktron linked remote code execution in Discourse’s image-processing stack to a flaw in OpenAI’s single sign-on, showing how a breach […] The post Researchers Use Claude Opus 5 to Hack OpenAI Forum and Reach Internal Repositories appeared first on Cyber Security News.
Researchers used Anthropic’s Claude Opus 5 to help weaponize an image-decoder vulnerability, compromise OpenAI’s community forum, take over employees’ ChatGPT and Codex accounts, and reach an internal source-code repository. The July 25, 2026 operation by Hacktron linked remote code execution in Discourse’s image-processing stack to a flaw in OpenAI’s single sign-on, showing how a breach in a peripheral service can cross identity boundaries into high-value AI development environments.…
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