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CRITICAL VOLTA Infostealer Uses LLM Chain to Rank Victim Assets // FIRST LOOK Northstar Security Launches AI Agents to Surface Toxic Risk Combos // HIGH Prompt Injection in Court Filing Triggers Brazil Lawyer Sanctions // HIGH ChatGPT HTML Preview XSS Enables Account Takeover // HIGH Cathedral AI Agents Breach Anthropic Systems in Under 12 Hours // FIRST LOOK OpenAI Updates Model Spec to Sharpen AI Judgment and Safety // HIGH Prompt Injection Targets AI Agent Planning in New Attacks // FIRST LOOK Mistral Releases Mistral Large 4 Open Weights for Cyber Defense // HIGH Hugging Face Malware Hijacks GPUs via trust_remote_code // CRITICAL Claude Code VS Code Extension Trojanized with SSH Backdoor //
OPEN-WEIGHTS

Open-Weights

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Mistral Releases Mistral Large 4 Open Weights for Cyber Defense

Mistral Releases Mistral Large 4 Open Weights for Cyber Defense

FIRST LOOK ATLAS OWASP NONE ▲ 7.8 TechCrunch AI

Mistral has released the open weights for Mistral Large 4 (ML4), a trillion-parameter model purpose-targeted at cybersecurity use cases, available via Hugging Face and its API. This closes a meaningful gap for enterprises and governments seeking sovereign, air-gappable AI capabilities for threat detection, incident analysis, and agentic response — without dependency on a third-party provider's access policies. Residual gaps remain around operational integration maturity, fine-tuning pipelines for domain-specific environments, and the governance frameworks needed to safely deploy a frontier-scale agentic model in production security operations.

Tencent Releases Hy3 295B Open-Source Model with 256K Context

Tencent Releases Hy3 295B Open-Source Model with 256K Context

FIRST LOOK ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 5.5 Simon Willison

Tencent has released Hy3, a 295B-parameter Mixture-of-Experts open-source model under Apache 2.0, featuring 256K context length and temporarily available for free inference via OpenRouter. The model's large context window, open weights, and Chinese provenance expand the attack surface for defenders managing LLM supply chains, jailbreak campaigns, and influence operations. Security teams should treat this as another high-capability open-weight model requiring the same scrutiny applied to comparable releases from Mistral or Meta.

Z.ai Releases GLM-5.2 Open-Weights 753B LLM

Z.ai Releases GLM-5.2 Open-Weights 753B LLM

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 6.2 Simon Willison

Z.ai has released GLM-5.2, a 753-billion-parameter mixture-of-experts model under an MIT license, ranking as the top open-weights model on the Artificial Analysis Intelligence Index and second on the Code Arena WebDev leaderboard. For defenders, the combination of frontier-level capability, unrestricted open-weights distribution, and a 1-million-token context window materially lowers the barrier for threat actors to self-host a highly capable model outside any provider's safety controls. The model's agentic coding performance and massive context window expand the viable attack surface for automated code generation, targeted phishing, and large-scale document analysis without API-level monitoring.

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