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 1431 results — has patchopen-webui: missing authz allows cross-KB file deletion
CVE-2026-29070Open WebUI: BOLA enables RAG poisoning via file overwrite
CVE-2026-28788Open WebUI: path traversal leaks server filesystem path
CVE-2026-28786BentoML: command injection in bentofile.yaml containerize
CVE-2026-33744vLLM: trust_remote_code bypass enables RCE
CVE-2026-27893Streamlit: SSRF leaks NTLMv2 creds via UNC path
CVE-2026-33682n8n: LDAP injection enables auth bypass in workflows
CVE-2026-33751n8n: stored XSS enables credential theft via workflow
CVE-2026-33749n8n: SSH MitM enables malicious workflow injection
CVE-2026-33724n8n: secrets vault bypass exposes credentials to low-priv users
CVE-2026-33722n8n: OAuth state forgery hijacks user credentials
CVE-2026-33720n8n: SQLi in Data Table node, full DB compromise
CVE-2026-33713n8n: Prototype pollution enables RCE via workflow nodes
CVE-2026-33696n8n: LDAP email match enables permanent account takeover
CVE-2026-33665n8n: member role steals plaintext HTTP credentials
CVE-2026-33663TensorFlow: type confusion NPD in tensor conversion
CVE-2026-33660n8n: uninitialized buffer leaks secrets via Task Runner
CVE-2026-27496langflow: Path Traversal enables file access
CVE-2026-33497langflow: Access Control bypass enables privilege escalation
CVE-2026-33484langflow: Path Traversal enables file access
CVE-2026-33309Frequently 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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