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 severityPicotls: unbounded ASN.1 recursion crashes on malicious key
CVE-2026-45271n8n: SSRF protection bypass in SearXNG Agent tool
CVE-2026-77085n8n: Code node sandbox escape via proto pollution
CVE-2026-77083n8n: ReDoS in Filter/Switch nodes stalls workers
CVE-2026-77082n8n: GraphQL node allowed-domains bypass leaks creds
CVE-2026-77081n8n: SSRF/LFI via MVG injection in Edit Image node
CVE-2026-77074n8n: MCP auth bypass grants cross-project credentials
CVE-2026-77073Splunk Table Editor: stored SPL escalates power→admin
CVE-2026-76341LangGraph API: authz bypass leaks assistant config
CVE-2026-55236langgraph-api: loopback webhook bypasses cross-user auth
CVE-2026-55235InsydeH2O: UEFI variable flaw exposes HDD password
CVE-2026-8810PeopleSoft: Panel Processor flaw enables unauthorized data access
CVE-2026-60884tract: malformed ONNX model triggers buffer flaw
CVE-2026-75093MLflow: missing authZ lets users forge dataset lineage
CVE-2026-69146go-pkcs12: PBMAC1 flaw lets wrong-password files decode
GHSA-mpwr-8vm7-h73fTransformers: path traversal via checkpoint shards
CVE-2026-75104vLLM: SSRF/LFI bypass in MiMo-V2 multimodal input
CVE-2026-73560vLLM: unbounded /derender inputs cause resource DoS
CVE-2026-71486vLLM: unbounded prompt batch triggers single-request DoS
CVE-2026-73559vLLM: integer overflow leaks other users' output
CVE-2026-73558Frequently 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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