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 845 results — Medium severitylitellm: SSO session expiration allows auth persistence
CVE-2026-12796 litellm: SSRF in MCP server exposes cloud metadata
CVE-2026-12774 litellm: session expiration bypass in proxy auth
CVE-2026-12772 vLLM: ReDoS via crafted API input causes DoS
CVE-2025-71379 picklescan: FileHandler bypass creates filesystem artifacts
CVE-2026-56304 Flowise: mass assignment enables credential hash override
CVE-2026-56276 Flowise: PII exposure via unauthenticated password reset
CVE-2026-56267 Flowise: XSS enables session hijacking in AI agent UI
CVE-2025-71331 Langflow: logout fails to clear session tokens
CVE-2026-55423 containerd: checkpoint import poisons node image cache
CVE-2026-50195 Mercator: SSRF enables internal network RCE via gopher://
CVE-2026-49345 JupyterLab: XSS via malicious PyPI extension URL
GHSA-vmhf-c436-hxj4 tract-onnx: path traversal exposes arbitrary local files
CVE-2026-55832 nl-portal: GraphQL SSRF exposes Objecten-API auth token
CVE-2026-55414 canto-saas-api: OAuth credentials logged via query params
CVE-2026-55375 FFmpeg RASC: UAF in decoder crashes AI inference containers
CVE-2026-12706 PraisonAI: agent ID collision leaks system prompts
CVE-2026-56077 PraisonAI: tool approval bypass enables credential theft
CVE-2026-56074 nl-portal documenten-api: IDOR exposes citizen documents
CVE-2026-54683 @theia/ai-chat: prompt injection exfiltrates workspace secrets
CVE-2026-22551 Frequently 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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