LIVE FEED
FIRST LOOK Microsoft Uses AI to Ship Record 974-Vulnerability Patch Batch // FIRST LOOK Meta Launches Muse Personal AI Agent with Secure VM Isolation // CRITICAL ChatGPT Cross-Account Data Leakage via Sandbox Channel // HIGH Hidden Prompt Injection Attacks Hijack Autonomous AI Agents // FIRST LOOK Schneier and Raghavan Frame AI Agent Risk as a Genie Problem // HIGH ChatGPT Prompt Injection Exfiltrates Gmail Data via Hidden Channel // FIRST LOOK Capsule Security Launches AI Circuit Breaker for Rogue Agents // MEDIUM Rogue AI Agents Drive Insurers to Rethink Cyber Risk // HIGH LLM-Assisted Intrusions Hit Latin American Orgs via NextChat // HIGH GPT 5.6-Cyber Breaks VM Sandboxes, Exposing Agent Limits //
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AI Coding Agents Exploit Open-Source Bugs Within Minutes of Patch

AI Coding Agents Exploit Open-Source Bugs Within Minutes of Patch

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Simon Willison

AI-powered coding agents are now capable of identifying and probing exploitable vulnerabilities in open-source software within minutes of a patch or advisory being publicly shared, fundamentally breaking traditional embargo-based disclosure practices. Security maintainers for projects including OCaml and rclone are reporting unprecedented surges in automated exploit attempts and vulnerability reports, with rclone seeing over 40 disclosures in a single month compared to 20 across its first decade. This development signals a systemic shift in the threat landscape where AI agents act as force multipliers for attackers, compressing the window between disclosure and active exploitation to near-zero.

Google Gemini Prompt Injection Powers Smishing Campaign

Google Gemini Prompt Injection Powers Smishing Campaign

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 The Hacker News

Google has filed suit against a Chinese cybercrime network operating the Outsider phishing-as-a-service kit, which exploited Gemini AI to generate fraudulent phishing pages and power large-scale SMS phishing attacks against Americans. The network used carefully framed prompts — disguised as benign programming requests — to bypass AI safety controls and produce functional credential-harvesting websites. The case illustrates the growing industrialisation of AI-assisted phishing infrastructure, with over 1.59 million malicious URLs and 100,000 victims attributed to the operation.

GPT-5.4-Cyber Jailbreak and Prompt Injection Risks

GPT-5.4-Cyber Jailbreak and Prompt Injection Risks

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Hacker News

OpenAI has launched GPT-5.4-Cyber, a cybersecurity-optimised model variant, alongside an expanded Trusted Access for Cyber (TAC) programme targeting authenticated defenders and security teams. While the initiative is framed as a defensive measure, the dual-use nature of a vulnerability-detection model introduces significant risk of adversarial inversion — where threat actors could exploit the same capabilities to discover and weaponise unpatched vulnerabilities at scale. OpenAI acknowledges this risk and states it is iteratively strengthening safeguards against jailbreaks and adversarial prompt injection as access broadens.

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