AI Threat AlertAI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
Critical
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In CISA KEV
Latest AI Security Threats
Showing 20 of 1908 results — High severityCVE-2026-101884OpenClaw Windows Node: env sanitizer bypass allows RCE7.50.5%openclawSep 30HIGHECVE-2026-101882OpenClaw Windows Node: weak exec approvals allow RCE8.80.7%openclawSep 30HIGHECVE-2026-101880OpenClaw Windows Node: approval bypass via pipe/subst8.80.7%openclawSep 30HIGHECVE-2026-103241vLLM: Gemma4 parser flaw allows remote DoS7.50.7%vllmSep 30HIGHCVE-2026-103242rpm: heap overflow via crafted package hits RHOAI images7.1—rhoai/odh-mlflow-operator-rhel9Sep 30HIGHCVE-2026-102831JupyterLab: clipboard cell-paste trust bypass enables XSS8.10.2%jupyterlite-coreSep 29HIGHCVE-2026-102697Ollama: agent Bash approval bypass via shell operators7.80.1%ollamaSep 29HIGHCVE-2026-95520rpm: heap overflow parsing crafted RPM hits RHOAI images7.1—rhoai/odh-mlflow-operator-rhel9Sep 29HIGHECVE-2026-93355LiteLLM: JWT email fallback enables admin account takeover8.10.3%litellmSep 28HIGHCVE-2026-102010GCC libstdc++: erase_if use-after-free causes DoS7.0—rhoai/odh-mlflow-operator-rhel9Sep 28HIGHCVE-2026-93348Unsloth Zoo: code injection via model_type enables RCE8.10.4%—Sep 28HIGHGHSA-456v-xq2p-r4cjcode-ollama: shell injection in grep_search allows RCE7.8—ollamaSep 28HIGHECVE-2026-101009aaPanel BaoTa: OS command injection in unzip handler8.41.8%—Sep 28HIGHECVE-2026-100846MONAI: unsafe pickle deserialization allows RCE8.80.4%monaiSep 27HIGHECVE-2026-100845MONAI: unsafe pickle deserialization in NumpyReader RCE7.80.2%monaiSep 27HIGHECVE-2026-100844MONAI: OS command injection via nnUNetV2Runner config7.80.9%monaiSep 27HIGHECVE-2026-100843MONAI: unsafe pickle deserialization enables RCE7.80.3%monaiSep 27HIGHECVE-2026-100842MONAI: eval sandbox bypass allows code execution8.80.2%monaiSep 27HIGHCVE-2026-100841MONAI: pickle cache deserialization allows local code execution7.80.1%monaiSep 27HIGHECVE-2026-100840MONAI: code execution via malicious bundle config7.80.3%monaiSep 27Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
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