Recently, researchers found significant vulnerabilities in Google’s Gemini AI system, which could have allowed attackers to exploit these weaknesses for malicious purposes. The vulnerabilities, referred to as “Trifecta,” span across different components of Gemini, including Gemini Cloud Assist and Gemini Search Personalization Model. For instance, harmful instructions could be injected into the system through manipulated web requests, risking control over cloud resources. Additionally, prompt injections could leak personal data from users browsing history when they interacted with Gemini features.
Google has responded by addressing these vulnerabilities through patches that block dangerous links and enhance defense mechanisms against prompt injections. However, users of Google services relying on Gemini AI may have been at risk prior to these fixes, especially those who visited malicious websites or utilized specific Gemini features. This situation underscores the potential risks involved with the integration of AI in cloud services and applications, where attack vectors can emerge that compromise user safety and data integrity.
While the risk to everyday users appears low since the vulnerabilities have been patched, the incident serves as a reminder of the evolving nature of AI security threats. As AI tools become integral in various applications, users are urged to exercise caution by avoiding suspicious websites, keeping systems updated, and being aware of the information shared with AI assistants. The potential for AI systems to be a vector for cyber attacks rather than merely a target must be taken seriously in ongoing cybersecurity strategies.
👉 Pročitaj original: Malware Bytes
