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 821 results — has patchGogs: Stored XSS via .ipynb Markdown re-render bypass
CVE-2026-52798 Budibase: SSRF via DNS rebinding in automation steps
CVE-2026-54353 Budibase: zip symlink bypass exposes all server secrets
CVE-2026-54352 Gogs: XSS via outdated Jupyter renderer, account takeover
GHSA-6vxv-wg6j-5qwp Langflow: TAR symlink traversal enables full RCE
CVE-2026-55447 Langflow: pre-auth DoS via malformed multipart boundary
CVE-2026-55446 Langflow: logout fails to clear session tokens
CVE-2026-55423 Langflow: IDOR allows cross-user flow execution
CVE-2026-55255 jupyterlab-git: excluded_paths bypass exposes secrets
CVE-2026-54528 jupyterlab-git: stored XSS escalates to full RCE
CVE-2026-54527 Home Assistant Konnected: auth bypass leaks alarm panel state
CVE-2026-54317 containerd: symlink follow leaks host files via kubectl logs
CVE-2026-53489 containerd: label injection enables host RCE via CRI plugin
CVE-2026-53488 containerd: checkpoint import poisons node image cache
CVE-2026-50195 Symfony LiveComponent: CSRF bypass via safelisted header
CVE-2026-49215 symfony/ux-live: HMAC replay bypasses prop integrity
CVE-2026-49212 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 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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