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 1025 results — High severityTensorFlow: heap OOB in cwise ops enables local RCE
CVE-2021-37659 TensorFlow: null ptr deref in MatrixSetDiagV ops
CVE-2021-37658 TensorFlow: null ptr deref in MatrixDiagV ops
CVE-2021-37657 TensorFlow: null ptr deref in RaggedTensorToSparse op
CVE-2021-37656 TensorFlow: OOB heap read in ResourceScatterUpdate
CVE-2021-37655 TensorFlow: OOB read/crash via ResourceGather batch_dims
CVE-2021-37654 TensorFlow: heap OOB r/w in FractionalAvgPoolGrad op
CVE-2021-37651 TensorFlow: heap overflow in DatasetToTFRecord ops
CVE-2021-37650 TensorFlow: RaggedGather OOB read - heap leak + DoS
CVE-2021-37641 TensorFlow: heap OOB read in sparse reduction ops
CVE-2021-37635 TensorFlow: null deref in MatrixDiagPartOp, DoS risk
CVE-2021-37643 TensorFlow: heap OOB read via tensor restore API
CVE-2021-37639 TensorFlow: null ptr deref in RaggedTensorToTensor op
CVE-2021-37638 TensorFlow: null ptr deref in graph optimizer
CVE-2021-29616 TensorFlow: OOB write in decode_raw crashes interpreter
CVE-2021-29614 TensorFlow: CTCLoss heap OOB read, info leak + crash
CVE-2021-29613 TensorFlow: heap overflow in linalg op, RCE risk
CVE-2021-29612 TensorFlow: heap R/W via quantization axis underflow
CVE-2021-29610 TensorFlow: SparseAdd heap OOB write and null deref
CVE-2021-29609 TensorFlow: heap OOB in RaggedTensorToTensor op
CVE-2021-29608 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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