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 352 results — High severity, has patchRay Dashboard: unauthenticated path traversal file read
CVE-2026-32981 mlflow: Code Injection enables RCE
CVE-2025-14287 Flowise: SSRF via HTTP Node exposes internal network
CVE-2026-31829 mcp-atlassian: SSRF allows internal network access
CVE-2026-27826 sagemaker: Allowlist Bypass evades input filtering
GHSA-5r2p-pjr8-7fh7 xgrammar: security flaw enables exploitation
CVE-2026-25048 fickling: Allowlist Bypass evades input filtering
GHSA-5hwf-rc88-82xm fickling: Protection Bypass circumvents security controls
GHSA-wccx-j62j-r448 fickling: security flaw enables exploitation
GHSA-mxhj-88fx-4pcv mlflow: Path Traversal enables file access
CVE-2026-2033 google-cloud-aiplatform: XSS enables session hijacking
CVE-2026-2472 picklescan: Allowlist Bypass evades input filtering
GHSA-97f8-7cmv-76j2 pydantic-ai: SSRF allows internal network access
CVE-2026-25580 sagemaker: security flaw enables exploitation
CVE-2026-1777 picklescan: Deserialization enables RCE
GHSA-9m3x-qqw2-h32h lollms: Access Control bypass enables privilege escalation
CVE-2026-1117 text-generation: DoS causes service disruption
CVE-2026-0599 mlflow: security flaw enables exploitation
CVE-2025-10279 chainlit: SSRF allows internal network access
CVE-2026-22219 keras: Resource Exhaustion enables DoS
CVE-2026-0897 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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