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 668 results — High severity, Active exploitationMLflow: broken access control exposes experiment traces
CVE-2025-15381 Open WebUI: BOLA enables RAG poisoning via file overwrite
CVE-2026-28788 BentoML: command injection in bentofile.yaml containerize
CVE-2026-33744 langflow: Path Traversal enables file access
CVE-2026-33497 langflow: Access Control bypass enables privilege escalation
CVE-2026-33484 AI component: Input Validation flaw enables exploitation
CVE-2026-4538 libarchive: RAR heap OOB read leaks memory in vLLM stacks
CVE-2026-4424 nltk: Path Traversal enables file access
CVE-2026-33236 deepdiff: DoS causes service disruption
CVE-2026-33155 OpenClaw: allowlist bypass enables arbitrary OS command exec
CVE-2026-22179 Ray Dashboard: unauthenticated path traversal file read
CVE-2026-32981 mlflow: Code Injection enables RCE
CVE-2025-14287 libarchive: infinite loop DoS in RAR5 decompression
CVE-2026-4111 Flowise: SSRF via HTTP Node exposes internal network
CVE-2026-31829 mcp-atlassian: SSRF allows internal network access
CVE-2026-27826 Flowise: header spoof auth bypass exposes admin API & creds
CVE-2026-30820 xgrammar: security flaw enables exploitation
CVE-2026-25048 NLTK: path traversal exposes sensitive server files
CVE-2026-0847 bentoml: security flaw enables exploitation
CVE-2026-27905 gradio: SSRF allows internal network access
CVE-2026-28416 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.
Need deeper analysis?
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