"Send me a quick text"Episode Description:AgentFlayer is a series of AI-targeted exploits that use language itself as the payload. By embedding malicious instructions inside everyday documents or text, such as a colleague’s CV, an industry report shared on LinkedIn, or any file that “needs summarizing,” attackers can trigger AI assistants to exfiltrate sensitive data. This includes stored memory, account metadata, and even entire conversation histories, sometimes without the victim clicking anything at all. The method blends perfectly with normal AI workflows, bypassing traditional security controls.Defensive Actions:Treat all external documents and pasted text as untrusted before sending them to AI systems.Implement AI input validation and sanitization to strip or neutralize hidden prompt instructions.Monitor AI-assisted workflows for unusual outbound requests or data patterns.Restrict AI system access to sensitive data and stored memory where possible.Educate users on the risks of summarizing unverified content, even from trusted networks.IOCs & Monitoring Focus:Look for unexpected outbound connections from AI-related services or integrations.Monitor logs for unusual API calls or data retrieval requests triggered immediately after file uploads.Track access to AI “memory” or conversation archives outside normal user behavior.Investigate any requests from AI systems that direct users to log in on unfamiliar domains.Known Tools / Infrastructure:Exploitation is performed entirely via indirect prompt injection.May involve attacker-controlled domains hosting phishing pages.Support the showThanks for spending a few minutes on the CyberBrief Project. If you want to dive deeper or catch up on past episodes, head over to cyberbriefproject.buzzsprout.com. You can also find the podcast on YouTube at youtube.com/@CyberBriefProject — I’d love to see you there. And if you find these episodes valuable and want to support the project, you can do that here: buzzsprout.com/support Your support means a lot. See you in the next one, and thank you for listening.

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