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 4331 results389-ds-base: LDAP DoS via unbounded control count
CVE-2026-90649router: unauthenticated RCE exposes LLM API keys
CVE-2026-46339n8n: SSRF bypasses credential domain restrictions
GHSA-3875-8gcx-7v46n8n: path traversal bypasses file access restriction
GHSA-2vx9-7wpg-88jqauth-fetch-mcp: SSRF + disk-exfil via unvalidated tool URLs
GHSA-hv85-774v-26fgguardrails-ai: malicious 0.10.1 enables host compromise
CVE-2026-45758GlassFish: authenticated RCE via admin console
CVE-2026-2586MLflow: cross-origin bypass enables RCE via AI agent
CVE-2026-2611MLflow: insecure tmp dir perms enable model artifact RCE
CVE-2026-4137Mistral npm SDK: supply chain attack, no impact
GHSA-jgg6-4rpr-wfh7mistralai 2.4.6: supply chain dropper executes on import
GHSA-wx9m-wx4f-4cmgn8n-mcp: tenant isolation bypass, operator RCE risk
CVE-2026-45707ChromaDB: pre-auth RCE via trust_remote_code injection
CVE-2026-45829n8n-mcp: telemetry leak exposes workflow URL secrets
CVE-2026-45582gnutls: DTLS packet-reorder bug DoS hits AI inference servers
CVE-2026-42009Bert-VITS2: path traversal exposes ML training filesystem
CVE-2026-8756@budibase/server: SSRF in AI Extract bypasses IP blacklist
CVE-2026-45548Microsoft APM: symlink attack leaks host files in agent deps
CVE-2026-45539MLflow: auth bypass exposes Job API and trace injection
CVE-2026-2652utcp-cli: env leak exfiltrates all agent process secrets
CVE-2026-45370Frequently 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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