AI Threat Alert
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 839 results — Medium severityKeras: 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 vllm: DoS via Jinja template injection in chat API
CVE-2025-61620 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 PyTorch: Dropout inconsistency enables membership inference
CVE-2025-46153 PyTorch: OOB write causes incorrect bitwise shift results
CVE-2025-46152 PyTorch: torch.compile silent output inconsistency
CVE-2025-46150 PyTorch: reachable assertion in nn.Fold with inductor
CVE-2025-46149 PyTorch: PairwiseDistance silent miscalculation, integrity risk
CVE-2025-46148 n8n: stored XSS in LangChain chat trigger (public)
CVE-2025-58177 Transformers: ReDoS in EnglishNormalizer exhausts CPU
CVE-2025-6051 xgrammar: DoS via oversized JSON schema grammar parsing
CVE-2025-58446 picklescan: scanner bypass enables model RCE
GHSA-q77w-mwjj-7mqx picklescan: scanner bypass enables RCE via ML model files
GHSA-49gj-c84q-6qm9 picklescan: scan bypass allows silent RCE via ML models
GHSA-9w88-8rmg-7g2p picklescan: detection bypass allows undetected RCE in ML models
GHSA-fqq6-7vqf-w3fg picklescan: scanner bypass enables pickle RCE in ML models
GHSA-3gf5-cxq9-w223 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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