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 534 results — Medium severity, no patchAI component: Missing Auth allows unauthorized operations
CVE-2025-14371 n8n: security flaw enables exploitation
CVE-2025-68697 n8n: XSS enables session hijacking
CVE-2025-61914 langflow: SSRF allows internal network access
CVE-2025-68477 anythingllm: Missing Auth allows unauthenticated access
CVE-2025-63390 AI component: SQL Injection exposes database
CVE-2025-13922 taxopress: SQL Injection exposes database
CVE-2025-13359 taxopress: Missing Auth allows unauthorized operations
CVE-2025-13354 vllm: Resource Exhaustion enables DoS
CVE-2025-62426 vllm: security flaw enables exploitation
CVE-2025-62372 AI component: Info Disclosure leaks sensitive data
CVE-2025-12732 AI component: SQL Injection exposes database
CVE-2025-11972 Better: security flaw enables exploitation
CVE-2025-12360 dspy: security flaw enables exploitation
CVE-2025-12695 smolagents: security flaw enables exploitation
CVE-2025-11844 Moodle: IDOR enables unauthorized data access
CVE-2025-60511 TensorFlow: non-deterministic compilation breaks Embedding
CVE-2025-55556 PyTorch: integer overflow in nan_to_num causes DoS
CVE-2025-55554 PyTorch: Dropout inconsistency enables membership inference
CVE-2025-46153 PyTorch: OOB write causes incorrect bitwise shift results
CVE-2025-46152 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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