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 1321 results — High severity CVE-2022-24770 Gradio: CSV formula injection via flagging enables RCE 8.8 1.3% gradio Mar 17 HIGH E CVE-2022-0736 MLflow: insecure temp file handling causes DoS 7.5 1.6% mlflow Feb 23 HIGH E CVE-2022-23593 TensorFlow MLIR-TFRT: DoS via scalar shape segfault 7.5 0.9% tensorflow Feb 4 HIGH E CVE-2022-23592 TensorFlow: heap OOB read in type inference engine 8.1 0.9% tensorflow Feb 4 HIGH E CVE-2022-23591 TensorFlow: SavedModel stack overflow via recursive GraphDef 7.5 0.8% tensorflow Feb 4 HIGH E CVE-2022-23590 TensorFlow: DoS via malicious SavedModel GraphDef 7.5 1.0% tensorflow Feb 4 HIGH E CVE-2022-23574 TensorFlow: heap OOB read/write enables network RCE 8.8 0.8% tensorflow Feb 4 HIGH E CVE-2022-23573 TensorFlow: uninitialized memory in AssignOp 8.8 0.8% tensorflow Feb 4 HIGH E CVE-2022-23566 TensorFlow: heap OOB write in Grappler, RCE risk 8.8 0.9% tensorflow Feb 4 HIGH CVE-2022-23562 TensorFlow: Range integer overflow, RCE/DoS risk 8.8 0.6% tensorflow Feb 4 HIGH CVE-2022-23561 TensorFlow Lite: OOB write, arbitrary write primitive 8.8 0.5% tensorflow Feb 4 HIGH E CVE-2022-23560 TFLite: OOB read/write in sparse tensor → RCE 8.8 0.8% tensorflow Feb 4 HIGH E CVE-2022-23559 TFLite: integer overflow in embedding lookup → heap OOB RW 8.8 1.2% tensorflow Feb 4 HIGH E CVE-2022-23558 TFLite: integer overflow in model loading, RCE risk 8.8 0.8% tensorflow Feb 4 HIGH E CVE-2022-21740 TensorFlow: heap overflow in sparse ops, RCE risk 8.8 0.8% tensorflow Feb 3 HIGH E CVE-2022-21730 TensorFlow: OOB read leaks heap memory, enables DoS 8.1 0.8% tensorflow Feb 3 HIGH E CVE-2022-21728 TensorFlow: heap OOB read in ReverseSequence op 8.1 1.1% tensorflow Feb 3 HIGH E CVE-2022-21727 TensorFlow: Dequantize integer overflow, RCE risk 8.8 0.7% tensorflow Feb 3 HIGH E CVE-2022-21726 TensorFlow: heap OOB read in Dequantize op allows RCE 8.8 0.8% tensorflow Feb 3 HIGH E CVE-2021-4118 pytorch-lightning: deserialization RCE via malicious checkpoint 7.8 1.0% pytorch_lightning Dec 23 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.
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