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Model Extraction Attacks Surge: Google GTIG Q4 Report

Model Extraction Attacks Surge: Google GTIG Q4 Report

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 Mandiant Blog

Google Threat Intelligence Group's Q4 2025 AI Threat Tracker documents a meaningful escalation in adversarial AI misuse, including a surge in model extraction (distillation) attacks, nation-state operationalisation of LLMs for phishing and reconnaissance, and the emergence of AI-integrated malware families such as HONESTCUE that leverage Gemini's API. While no breakthrough capabilities have been observed from APT actors, the integration of agentic AI for tooling development signals a maturing threat landscape. Defenders should prioritise monitoring for model extraction activity, API abuse, and AI-augmented social engineering campaigns.

Qihoo 360 AI System Discovers 1,000 Vulnerabilities

Qihoo 360 AI System Discovers 1,000 Vulnerabilities

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 SecurityWeek

Chinese cybersecurity firm 360 Digital Security Group claims its multi-agent AI system autonomously discovered nearly 1,000 vulnerabilities, including a critical Office zero-day allegedly dormant for eight years, drawing direct comparisons to Anthropic's restricted Claude Mythos model. The developments signal that AI-driven autonomous vulnerability discovery is rapidly proliferating beyond tightly controlled Western research environments. This raises significant concerns about AI-accelerated offensive capabilities reaching nation-state threat actors at scale.

OpenAI Supply Chain Attack via Axios Code Signing

OpenAI Supply Chain Attack via Axios Code Signing

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 SecurityWeek

OpenAI has been impacted by a supply chain attack attributed to North Korea-linked threat actors, involving a compromised macOS code signing certificate associated with the Axios JavaScript library. The incident highlights the vulnerability of major AI platforms to upstream software supply chain compromises, which could expose users to malicious code distributed through trusted tooling. As a leading AI infrastructure provider, any compromise of OpenAI's build or distribution pipeline carries significant downstream risk for enterprises relying on its models and APIs.

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