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 400 results — Medium severity, has patchJupyterLab: extension blocklist bypass via name mismatch
GHSA-89vp-jrxv-24w8 JupyterLab: plugin lock bypass via direct API access
GHSA-h5v5-8746-g7mm n8n: path traversal in computer-use tool leaks files
GHSA-pf2q-pxhf-hgmw n8n: prototype pollution in expression engine causes DoS
GHSA-hx4h-vr3m-45vh n8n: MCP Client SSRF bypasses egress protection
GHSA-vhf8-cg2h-cg3p n8n: GCP service account key leaks via JWT header
CVE-2026-65599 n8n: GraphQL node bypasses domain allowlist, leaks creds
CVE-2026-65596 n8n: authz bypass hijacks other users' MCP workflows
CVE-2026-65594 n8n: SSRF bypass in dynamic-node-parameters endpoint
CVE-2026-65593 n8n computer-use: unsandboxed shell on Linux/Windows
CVE-2026-65590 n8n: plaintext credential leak in LLM node logs
CVE-2026-65589 n8n: unauth DELETE cancels test webhook sessions
CVE-2026-65014 Gitea: LFS deploy-key flaw leaks private repo objects
CVE-2026-58435 ViewComponent: stale context leaks admin UI cross-user
CVE-2026-54497 FiftyOne: wildcard CORS enables local file exfiltration
CVE-2026-53656 n8n: permission bypass exposes external secrets
CVE-2026-59259 n8n: authz bypass leaks external secrets
CVE-2026-59254 n8n-mcp: cross-tenant leak of workflow backups
CVE-2026-55608 mcp-atlassian: DNS-rebind bypass revives header SSRF
GHSA-489g-7rxv-6c8q n8n: disk exhaustion via data-table upload quota gap
CVE-2026-58661 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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