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This incident demonstrates how attackers are leveraging the hype surrounding generative AI models like Google Gemini to distribute credential-stealing malware through deceptive download paths. The tactic relies on social engineering rather than technical exploits, exploiting user trust in legitimate-sounding software hubs and developer platforms like Google Colab. For the AI community, this underscores that security risks now extend beyond model vulnerabilities to include the integrity of distribution channels for AI tools themselves.
Hackers Use Fake Google Gemini Installer to Deploy Vidar Stealer and Steal Browser Credentials
Cybercriminals are abusing interest in generative AI to trick users into downloading malware. In a newly documented incident, a file posing as a Google Gemini installer delivered the Vidar information stealer, putting saved browser passwords and other sensitive data at risk. The attack did not begin with a phishing email. Instead, it relied on a […] The post Hackers Use Fake Google Gemini Installer to Deploy Vidar Stealer and Steal Browser Credentials appeared first on Cyber Security News.
Cybercriminals are abusing interest in generative AI to trick users into downloading malware. In a newly documented incident, a file posing as a Google Gemini installer delivered the Vidar information stealer, putting saved browser passwords and other sensitive data at risk. The attack did not begin with a phishing email. Instead, it relied on a normal-looking software search and download path, showing how criminals can turn routine searches for AI tools into a route for credential theft. The tactic mirrors recent campaigns that…
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