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
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Latest AI Security Threats
Showing 20 of 1431 results — has patchFilament: unauth file upload drains disk/inflates costs
CVE-2026-48500Keras: path traversal via layer names allows arbitrary file write
CVE-2026-12479Chainlit: session hijacking via WebSocket restoration
CVE-2026-56104Langflow: auth bypass + unauthenticated RCE (CVSS 10)
CVE-2026-10561Grafana: stored XSS in geomap bypasses CVE-2023-0507 fix
CVE-2026-9029litellm: auth bypass in MCP proxy, no credentials required
CVE-2026-12773Gogs: XSS via outdated Jupyter renderer, account takeover
GHSA-6vxv-wg6j-5qwpLangflow: TAR symlink traversal enables full RCE
CVE-2026-55447Langflow: pre-auth DoS via malformed multipart boundary
CVE-2026-55446Langflow: logout fails to clear session tokens
CVE-2026-55423Langflow: IDOR allows cross-user flow execution
CVE-2026-55255jupyterlab-git: excluded_paths bypass exposes secrets
CVE-2026-54528jupyterlab-git: stored XSS escalates to full RCE
CVE-2026-54527Home Assistant Konnected: auth bypass leaks alarm panel state
CVE-2026-54317containerd: symlink follow leaks host files via kubectl logs
CVE-2026-53489containerd: label injection enables host RCE via CRI plugin
CVE-2026-53488containerd: checkpoint import poisons node image cache
CVE-2026-50195Symfony LiveComponent: CSRF bypass via safelisted header
CVE-2026-49215symfony/ux-live: HMAC replay bypasses prop integrity
CVE-2026-49212JupyterLab: XSS via malicious PyPI extension URL
GHSA-vmhf-c436-hxj4Frequently 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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