AI 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
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Latest AI Security Threats
Showing 20 of 1908 results — High severityOpenClaw Windows Node: env sanitizer bypass allows RCE
CVE-2026-101884OpenClaw Windows Node: weak exec approvals allow RCE
CVE-2026-101882OpenClaw Windows Node: approval bypass via pipe/subst
CVE-2026-101880vLLM: Gemma4 parser flaw allows remote DoS
CVE-2026-103241rpm: heap overflow via crafted package hits RHOAI images
CVE-2026-103242JupyterLab: clipboard cell-paste trust bypass enables XSS
CVE-2026-102831Ollama: agent Bash approval bypass via shell operators
CVE-2026-102697rpm: heap overflow parsing crafted RPM hits RHOAI images
CVE-2026-95520LiteLLM: JWT email fallback enables admin account takeover
CVE-2026-93355GCC libstdc++: erase_if use-after-free causes DoS
CVE-2026-102010Unsloth Zoo: code injection via model_type enables RCE
CVE-2026-93348code-ollama: shell injection in grep_search allows RCE
GHSA-456v-xq2p-r4cjaaPanel BaoTa: OS command injection in unzip handler
CVE-2026-101009MONAI: unsafe pickle deserialization allows RCE
CVE-2026-100846MONAI: unsafe pickle deserialization in NumpyReader RCE
CVE-2026-100845MONAI: OS command injection via nnUNetV2Runner config
CVE-2026-100844MONAI: unsafe pickle deserialization enables RCE
CVE-2026-100843MONAI: eval sandbox bypass allows code execution
CVE-2026-100842MONAI: pickle cache deserialization allows local code execution
CVE-2026-100841MONAI: code execution via malicious bundle config
CVE-2026-100840Frequently 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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