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LLM-GENERATED-MALWARE

Llm-Generated-Malware

2 reports
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PhantomRaven npm Stealer Built With LLM Targets Dev Secrets

PhantomRaven npm Stealer Built With LLM Targets Dev Secrets

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 The Hacker News

A threat actor operating under bug bounty personas deployed over 100 malicious npm packages containing an LLM-generated JavaScript stealer, PhantomRaven, targeting developer credentials and CI/CD secrets. CrowdStrike assessed with high confidence that the malware was written using a large language model, evidenced by verbose comments, placeholder code, and statistical token-analysis patterns. The operation highlights the growing use of AI-assisted malware development to lower the technical barrier for financially motivated attackers.

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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