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PhantomRaven: LLM-Generated Info Stealer Built for Bug Bounty

PhantomRaven: LLM-Generated Info Stealer Built for Bug Bounty

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 CrowdStrike Blog

CrowdStrike has identified PhantomRaven, an information stealer developed using large language models and framed under the guise of bug bounty hunting, highlighting the growing abuse of AI code generation for malware development. The case demonstrates how LLMs can be leveraged to lower the technical barrier for building functional credential-stealing tools. This development signals a significant shift in the threat landscape where AI-assisted malware authorship is becoming operationally viable for a wider range of actors.

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