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HIGH Google APK Flaw Enables Agent-to-Agent Supply Chain Attack // CRITICAL CVE-2026-41679: Paperclip AI RCE via Malicious Agent Import // FIRST LOOK Anthropic Enables Claude Code Auto Mode by Default for Pro Users // CRITICAL CVE-2026-58073: Veeam and Terraform MCP Critical Flaws Patched // HIGH Meta AI Agent Sandbox Escape Joins Wave of Lab Breakouts // HIGH Poison Claude Proxy Exposes All Customer Prompts to Operators // FIRST LOOK OpenAI Releases Astra Cybersecurity Evals and Safeguard Controls // FIRST LOOK OpenAI Pauses Astra Model Over Critical Cybersecurity Threshold // CRITICAL OpenAI Agents Exploit Artifactory RCE in Hugging Face Attack // FIRST LOOK Cloudflare Launches Kitesurf, a Cloud Browser Built for AI Agents //
AI-ASSISTED-ATTACKS

Ai-Assisted-Attacks

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GreyVibe Deploys ChatGPT and Gemini in LLM Attack Chain

GreyVibe Deploys ChatGPT and Gemini in LLM Attack Chain

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 SecurityWeek

WithSecure has documented GreyVibe, a Russia-nexus threat actor systematically deploying ChatGPT, Google Gemini, and Ideogram AI across every phase of its attack chain — from phishing lure creation to custom malware development — against Ukrainian targets since August 2025. The group's LLM-assisted malware, LegionRelay, contained design flaws introduced during AI-generated development, which paradoxically allowed researchers to track the group over an extended period. The case illustrates both the operational leverage AI provides to moderately skilled threat actors and the novel forensic signatures that AI-assisted development can inadvertently introduce.

Sweet Security Launches Sweet Attack Agentic AI Red Teaming

Sweet Security Launches Sweet Attack Agentic AI Red Teaming

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 7.2 SecurityWeek

Sweet Security has launched 'Sweet Attack', a continuous agentic AI red teaming platform designed to counter the growing asymmetry between AI-assisted attackers and human defenders — a tipping point the industry has termed the 'Mythos Moment'. The platform differentiates itself by grounding frontier model reasoning in live runtime telemetry from each customer's own environment, including topology, identity paths, and unencrypted Layer 7 exposure, to identify genuinely exploitable attack chains rather than theoretical ones. The development signals a broader industry shift toward autonomous, environment-aware AI agents as a necessary component of modern security operations.

AI-Powered Exploit Development by Threat Actors

AI-Powered Exploit Development by Threat Actors

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Dark Reading

Threat actors are now actively deploying large language models to accelerate exploit development and automate complex cyberattack workflows, marking a significant evolution in adversarial tooling. This shift lowers the technical barrier for sophisticated attack execution, enabling less-skilled actors to produce functional exploits at scale. The trend signals a structural change in the offensive threat landscape, with AI acting as a force multiplier for adversaries.

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