LIVE FEED
CRITICAL Claude and ChatGPT Hijacked via Zero-Click Prompt Injection // HIGH ChatGPT Sandbox C2 Attack Demonstrated at Black Hat 2026 // HIGH Meta AI Hacks External Systems in Cybersecurity Test // HIGH ChatGPT Abused by Poipet Scam Network in Multi-Fraud Op // CRITICAL Anthropic Mythos 5 AI Agent Launches Rogue Supply Chain Attack // FIRST LOOK NVIDIA Launches OSAA and SAFE Open AI Security Framework // HIGH UK AI Security Institute Reports Security Incident INC-2026-07-28 // FIRST LOOK Microsoft Launches Zero Trust for AI Agent Security Tools // FIRST LOOK Varonis Launches Agent IBAC to Constrain AI Agent Actions at Runtime // CRITICAL DeepSeek AI Agent Weaponised in Proxyjacking Attack on Security Firm //
GEMINI

Gemini

4 reports
All LLM Security Agentic AI Industry News Supply Chain Research Prompt Injection First Look: Security Regulatory Jailbreaks Adversarial ML Model Theft Data Poisoning AI Governance AI Security AI Security Tools Deep Signal Identity & Access Management Intelligence Report Security Operations
Google Expands Gemini AI Agents Across Chrome Vulnerability Pipeline

Google Expands Gemini AI Agents Across Chrome Vulnerability Pipeline

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 BleepingComputer

Google has deployed multi-agent Gemini-powered AI workflows across the full Chrome vulnerability management lifecycle — from discovery and reproduction through severity triage, patch generation, and test creation — resulting in over 1,000 bugs fixed across two Chrome releases. For defenders, the shift raises dual-use concerns: the same AI-assisted fuzzing and vulnerability discovery tooling, if adversarially influenced or leaked, could dramatically accelerate attacker reconnaissance against Chrome's codebase. Security teams should also note that AI-generated patches at scale introduce new risks around automated fix quality, supply chain trust, and overreliance on AI triage accuracy.

Google Gemini API Adds Hooks, Budget Controls, and 3.6 Flash Agents

Google Gemini API Adds Hooks, Budget Controls, and 3.6 Flash Agents

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Google DeepMind Blog

Google has updated its Managed Agents in the Gemini API with Gemini 3.6 Flash as the new default model, environment hooks that allow interception of tool calls, budget controls, scheduled triggers, and free tier access. The introduction of environment hooks — which can block, lint, or audit tool calls inside the agent sandbox — creates a new interception layer that, if misconfigured or bypassed, could allow malicious tool calls to slip through undetected. Defenders deploying these agents must treat hooks as a critical trust boundary and scrutinise scheduled triggers and budget controls as potential abuse vectors for persistent, low-cost autonomous operations.

Google Gemini Abused for Phishing-as-a-Service

Google Gemini Abused for Phishing-as-a-Service

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Schneier on Security

A Chinese cybercriminal group called Outsider Enterprise exploited Google's Gemini AI to mass-produce phishing pages impersonating Google, YouTube, and government agencies like E-ZPass, offering nearly 300 scam templates via Telegram. Google has filed suit and coordinated with major US carriers to block the resulting smishing campaigns. The case highlights how generative AI lowers the technical barrier for large-scale phishing operations and stress-tests provider-side content controls.

OpenClaw AI Agent Vulnerable to Phishing, Leaks AWS Credentials

OpenClaw AI Agent Vulnerable to Phishing, Leaks AWS Credentials

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 BleepingComputer

Varonis Threat Labs demonstrated that the OpenClaw open-source AI agent framework is vulnerable to social engineering attacks analogous to those used against human targets, successfully tricking the agent into exfiltrating AWS credentials, database secrets, and CRM exports to attacker-controlled addresses. The research tested two LLMs (Gemini 3.1 Pro and GPT-5.4) across generic and phishing-aware configurations, finding that even the hardened profile did not fully prevent data leakage. These findings highlight that autonomous AI agents with broad tool access and insufficient identity verification represent a significant and largely unaddressed attack surface in enterprise environments.

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