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 1527 results — Medium severityn8n: SQL injection in Snowflake Execute Query node
GHSA-652q-gvq3-74qvn8n: SQL injection in Postgres Trigger node
GHSA-jqwr-vx3p-r266n8n: shared module cache poisoning breaks user isolation
GHSA-9cmh-xcqm-5hqrJupyterLab: extension blocklist bypass via name mismatch
GHSA-89vp-jrxv-24w8JupyterLab: plugin lock bypass via direct API access
GHSA-h5v5-8746-g7mmn8n: path traversal in computer-use tool leaks files
GHSA-pf2q-pxhf-hgmwn8n: prototype pollution in expression engine causes DoS
GHSA-hx4h-vr3m-45vhn8n: MCP Client SSRF bypasses egress protection
GHSA-vhf8-cg2h-cg3pInvokeAI: unauthenticated directory enumeration flaw
CVE-2026-65012n8n: GCP service account key leaks via JWT header
CVE-2026-65599n8n: GraphQL node bypasses domain allowlist, leaks creds
CVE-2026-65596n8n: authz bypass hijacks other users' MCP workflows
CVE-2026-65594n8n: SSRF bypass in dynamic-node-parameters endpoint
CVE-2026-65593n8n computer-use: unsandboxed shell on Linux/Windows
CVE-2026-65590n8n: plaintext credential leak in LLM node logs
CVE-2026-65589n8n: unauth DELETE cancels test webhook sessions
CVE-2026-65014PeopleSoft: unauthorized data access via Panel Processor
CVE-2026-60152PeopleSoft PeopleTools: CSRF-style data tampering flaw
CVE-2026-47024Kirby Modules: license key disclosure via activate dialog
CVE-2026-63092Gitea: LFS deploy-key flaw leaks private repo objects
CVE-2026-58435Frequently 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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