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 314 results — Medium severity, Active exploitationmonai: Path Traversal enables file access
CVE-2026-21851 AI component: Missing Auth allows unauthorized operations
CVE-2025-14371 local-deep-research: SSRF allows internal network access
CVE-2025-67743 langflow: SSRF allows internal network access
CVE-2025-68477 AI component: SQL Injection exposes database
CVE-2025-13922 dspy: security flaw enables exploitation
CVE-2025-12695 Keras: safe_mode bypass enables file read and SSRF
CVE-2025-12058 smolagents: security flaw enables exploitation
CVE-2025-11844 Moodle: IDOR enables unauthorized data access
CVE-2025-60511 clearml: path traversal in safe_extract → RCE risk
CVE-2025-8917 TensorFlow: non-deterministic compilation breaks Embedding
CVE-2025-55556 PyTorch: integer overflow in nan_to_num causes DoS
CVE-2025-55554 Transformers: ReDoS in EnglishNormalizer exhausts CPU
CVE-2025-6051 xgrammar: DoS via oversized JSON schema grammar parsing
CVE-2025-58446 ExecuTorch: integer overflow enables RCE via model loading
CVE-2025-54952 Ollama: arbitrary file deletion via /api/pull
CVE-2025-44779 Transformers: ReDoS in TF-to-PyTorch weight converter
CVE-2025-5197 Ollama: auth token hijack via crafted WWW-Authenticate
CVE-2025-51471 Dagster: path traversal exposes arbitrary file read via gRPC
CVE-2025-51481 Transformers: ReDoS in DonutProcessor causes DoS
CVE-2025-3933 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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