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AI-Assisted Fake GitHub Repositories Steal Sensitive Data Including Login Credentials

A malware campaign using AI to create deceptive GitHub repositories has been identified, distributing SmartLoader that deploys Lumma Stealer. This operation exploits GitHub’s reputation, targeting users seeking software through polished documentation. The malware executes a multi-stage attack, exfiltrating sensitive data like browser credentials and cryptocurrency information. Trend Micro suggests robust defenses, including application allowlisting and enhanced monitoring against these threats.

Source: cybersecuritynews.com –

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