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 1527 results — Medium severityBetter: security flaw enables exploitation
CVE-2025-12360dspy: security flaw enables exploitation
CVE-2025-12695Keras: safe_mode bypass enables file read and SSRF
CVE-2025-12058smolagents: security flaw enables exploitation
CVE-2025-11844Moodle: IDOR enables unauthorized data access
CVE-2025-60511vllm: DoS via Jinja template injection in chat API
CVE-2025-61620clearml: path traversal in safe_extract → RCE risk
CVE-2025-8917TensorFlow: non-deterministic compilation breaks Embedding
CVE-2025-55556PyTorch: integer overflow in nan_to_num causes DoS
CVE-2025-55554PyTorch: Dropout inconsistency enables membership inference
CVE-2025-46153PyTorch: OOB write causes incorrect bitwise shift results
CVE-2025-46152PyTorch: torch.compile silent output inconsistency
CVE-2025-46150PyTorch: reachable assertion in nn.Fold with inductor
CVE-2025-46149PyTorch: PairwiseDistance silent miscalculation, integrity risk
CVE-2025-46148n8n: stored XSS in LangChain chat trigger (public)
CVE-2025-58177Transformers: ReDoS in EnglishNormalizer exhausts CPU
CVE-2025-6051xgrammar: DoS via oversized JSON schema grammar parsing
CVE-2025-58446picklescan: scanner bypass enables model RCE
GHSA-q77w-mwjj-7mqxpicklescan: scanner bypass enables RCE via ML model files
GHSA-49gj-c84q-6qm9picklescan: scan bypass allows silent RCE via ML models
GHSA-9w88-8rmg-7g2pFrequently 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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