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 severityTensorFlow: DoS via negative TensorListReserve input
CVE-2021-37644 TensorFlow: null ptr deref crashes inference via bad tensor
CVE-2021-37649 TensorFlow: null deref in SparseTensor ops causes DoS
CVE-2021-37647 TensorFlow: null ptr dereference in CompressElement (DoS)
CVE-2021-37637 TensorFlow: DoS via divide-by-zero in inplace ops
CVE-2021-37660 TensorFlow: DoS via divide-by-zero in ResourceGather op
CVE-2021-37653 TensorFlow: ResourceScatterDiv div-by-zero enables DoS
CVE-2021-37642 TensorFlow: SparseReshape div-by-zero crashes ML pipelines
CVE-2021-37640 TensorFlow: div-by-zero DoS in SparseDenseCwiseDiv op
CVE-2021-37636 TensorFlow: DoS via invalid SparseCount op args
CVE-2021-29619 TensorFlow: DoS crash via tf.transpose complex+conjugate
CVE-2021-29618 TensorFlow: DoS via CHECK-fail in strings.substr
CVE-2021-29617 TensorFlow: uncontrolled recursion DoS in ParseAttrValue
CVE-2021-29615 TensorFlow: DoS via SparseReshape invalid tensor input
CVE-2021-29611 TFLite: integer overflow DoS via crafted model file
CVE-2021-29605 TFLite: DoS via division by zero in hashtable lookup
CVE-2021-29604 TensorFlow TFLite: DepthwiseConv division-by-zero DoS
CVE-2021-29602 TensorFlow: integer overflow DoS in SparseSplit op
CVE-2021-29584 TensorFlow: DoS via null buffer in CTCBeamSearchDecoder
CVE-2021-29581 TensorFlow: DoS via empty tensor in FractionalMaxPoolGrad
CVE-2021-29580 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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