LIVE FEED
HIGH AI Guardrails Fail Multilingual Jailbreak Tests in Europe // FIRST LOOK AI Agent Security Shifts From Visibility to Enforcement Controls // HIGH Hermes AI Agent Automates Post-Exploitation Attack on Thai Finance Ministry // FIRST LOOK Google Gemma Tech Brings 28.9M LLM to ESP32 Microcontrollers // HIGH AI Coding Agents Exploited via Hallucinated Package Names // FIRST LOOK AWS Adds Bedrock Guardrails Best Practices for Code Generation // FIRST LOOK Anthropic Brings Voice Mode to Claude Opus and Sonnet Models // FIRST LOOK Anthropic and OpenAI Open Vetted Cyber Programs for Offensive Researchers // HIGH Threat Actor Trim Weaponises AI Jailbreaks for Offensive Ops // HIGH Fake Claude App via Bing Ads Delivers SectopRAT Malware //
LLM-INFERENCE

Llm-Inference

2 reports
All LLM Security Agentic AI Industry News Research Supply Chain Prompt Injection First Look: Security Regulatory Adversarial ML Jailbreaks Model Theft Data Poisoning AI Security Tools Security Operations
CVE-2026-7482: Ollama Heap Read Exposes API Keys

CVE-2026-7482: Ollama Heap Read Exposes API Keys

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 SecurityWeek

A critical heap out-of-bounds read vulnerability (CVE-2026-7482, CVSS 9.3) in Ollama's GGUF model loader allows unauthenticated remote attackers to exfiltrate sensitive heap memory — including API keys, prompts, and PII — using just three API calls. With approximately 300,000 Ollama instances publicly exposed and no authentication required by default, the attack surface is immediately and broadly exploitable. The vulnerability has been patched in Ollama version 0.17.1, but unpatched internet-facing deployments remain at critical risk.

TeamPCP Supply Chain Campaign Poisons xinference PyPI

TeamPCP Supply Chain Campaign Poisons xinference PyPI

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 6.5 SANS Internet Storm Center

The TeamPCP supply chain campaign resumed after a 26-day pause with three concurrent compromises targeting Checkmarx KICS (Docker Hub), xinference (a popular AI inference PyPI package), and a cascading compromise of Bitwarden CLI via poisoned CI/CD dependencies. The xinference poisoning is directly AI-security relevant as it targets a widely used LLM/ML model serving framework, while the broader campaign demonstrates sophisticated supply chain attack methodologies that increasingly intersect with AI tooling. The CanisterSprawl npm worm adds credential-harvesting infrastructure that could further compromise AI development pipelines.

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