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Kimsuky Runs Offline LLMs to Sharpen Phishing, Build Malware

Kimsuky Runs Offline LLMs to Sharpen Phishing, Build Malware

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 The Hacker News

North Korean APT group Kimsuky has assembled a private, offline AI stack — including Ollama, GPT4All, and RAG tooling — to enhance spear-phishing lure quality and automate malware development in C#/.NET. South Korean firm Genians found configured instances of these tools on Kimsuky-linked infrastructure, alongside developer libraries such as LLaMaSharp and Microsoft Semantic Kernel, indicating deliberate integration of AI into the group's attack pipeline. The shift erodes traditional phishing detection signals like poor grammar and formatting, forcing defenders to pivot toward behavioural indicators on the endpoint.

CVE-2026-26030: Semantic Kernel RCE via Prompt Injection

CVE-2026-26030: Semantic Kernel RCE via Prompt Injection

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 Microsoft Security Blog

Microsoft's Defender Security Research Team disclosed two CVEs in Semantic Kernel — a widely-used AI agent orchestration framework — demonstrating how prompt injection can escalate to remote code execution via compromised plugins. The vulnerabilities (CVE-2026-26030 and CVE-2026-25592) expose a systemic risk in the agentic AI layer: because frameworks like Semantic Kernel abstract tool orchestration, a single flaw in how LLM outputs are mapped to system tools can propagate across every application built on that foundation. This research signals a critical shift in AI threat modelling, where prompt injection is no longer a content risk but an execution risk.

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