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 3021 resultslmdeploy: hardcoded trust_remote_code enables RCE
CVE-2026-46432 MLflow: missing authz exposes all model versions
CVE-2026-2734 Flowise: cross-workspace chatflow config disclosure
GHSA-c2c9-mfw7-p8hw Flowise: mass assignment bypasses password controls
GHSA-59fh-9f3p-7m39 Flowise: hardcoded CORS wildcard enables drive-by credential abuse
GHSA-m837-xvxr-vqwg diffusers: TOCTOU race bypasses trust_remote_code, RCE
CVE-2026-45804 389-ds-base: LDAP DoS via unbounded control count
CVE-2026-9064 9router: unauthenticated RCE exposes LLM API keys
CVE-2026-46339 n8n: SSRF bypasses credential domain restrictions
GHSA-3875-8gcx-7v46 n8n: path traversal bypasses file access restriction
GHSA-2vx9-7wpg-88jq auth-fetch-mcp: SSRF + disk-exfil via unvalidated tool URLs
GHSA-hv85-774v-26fg guardrails-ai: malicious 0.10.1 enables host compromise
CVE-2026-45758 GlassFish: authenticated RCE via admin console
CVE-2026-2586 MLflow: cross-origin bypass enables RCE via AI agent
CVE-2026-2611 MLflow: insecure tmp dir perms enable model artifact RCE
CVE-2026-4137 Mistral npm SDK: supply chain attack, no impact
GHSA-jgg6-4rpr-wfh7 mistralai 2.4.6: supply chain dropper executes on import
GHSA-wx9m-wx4f-4cmg n8n-mcp: tenant isolation bypass, operator RCE risk
CVE-2026-45707 ChromaDB: pre-auth RCE via trust_remote_code injection
CVE-2026-45829 n8n-mcp: telemetry leak exposes workflow URL secrets
CVE-2026-45582 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.
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