AI Security

    Claimed Bug Bounty Hunter Likely Used LLM to Build PhantomRaven npm Stealer

    Malicious actor leverages generative AI to distribute PhantomRaven info-stealer via npm registry

    A financially motivated threat actor has been linked to the development and distribution of a JavaScript (JS)-based information stealer known as PhantomRaven via the npm package registry. "The developer likely wrote the malware using a large language model (LLM), an assessment ma...

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    The Hacker News

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    The Hacker News
    Claimed Bug Bounty Hunter Likely Used LLM to Build PhantomRaven npm Stealer
    AI Analysis

    Generated insight by OnAirToday AI

    The rise of LLM-assisted malware development lowers the barrier to entry for novice threat actors to create sophisticated malicious tools. This shift forces security teams to rethink traditional detection methods as AI-generated code introduces unpredictable patterns in supply chain attacks.

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