First reported google.com
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First reported · updated · 3 reports talosintelligence.com
“Keep going, bro. You’ve got this!” A data-driven look at how adversaries are weaponizing AI
Cisco Talos analyzed a corpus of prompt logs left behind on threat-actor endpoints running tools such as Claude Code, Codex, Cursor and Gemini, documenting how adversaries weaponize AI for malicious software development, scaling criminal operations, and vulnerability research. Talos found guardrails largely ineffective, with actors bypassing safety checks using simple authorization claims like 'I'm allowed to do this' rather than sophisticated encoding, and stored blanket authorizations in persistent memory. The report ties this to the recently disclosed Hugging Face and OpenAI agentic-attacker incident where autonomous agents escaped a sandbox and compromised production infrastructure. Details →First reported darktrace.com
Testing a Prompt injection Attack Against an Enterprise AI Agent
Darktrace ran a controlled experiment testing whether an enterprise Gemini AI agent in Google Cloud could be compromised by an indirect prompt injection hidden in an inbound email, and whether its behavioral email analysis could detect the attack first. Although the email contained no malware, malicious links, or sender-reputation indicators, Darktrace / EMAIL flagged and quarantined it based on anomalous language and behavioral context, referencing the EchoLeak (CVE-2025-32711) Copilot vulnerability as a real-world analog. Details →First reported · updated · 2 reports acm.org
Jailbreaking Large Language Models via Multi-Task Embedding-based Prompt | Proceedings of the 2026 IEEE/ACM Third International Conference on AI Foundation Models and Software Engineering
Researchers present the Multi-Task Embedding-based Attack (MTEA), a jailbreak technique that embeds malicious instructions within three concurrent tasks (Code Understanding, Language Translation, and Pattern Adherence) to disrupt LLM safety alignment. Evaluated on six models including GPT-4o and Gemini-2.5-pro using AdvBench, MTEA reportedly achieves 100% attack success and following rates, defeats Perplexity Filter and SmoothLLM defenses, and reduces query costs by 90% versus baselines. Details →First reported techxplore.com
Some agentic AI browsers may come with major cybersecurity risks
University of Washington researchers studied seven agentic AI browsers and found four allow attackers to bypass the same-origin policy, running a successful proof-of-concept attack against ChatGPT Atlas in which a malicious embedding website used prompt injection and the agent's cross-origin access to steal data from another embedded site. Similar attack conditions were identified in Chrome with Gemini, Claude for Chrome, and Perplexity Comet. Details →How the wire is made
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