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
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AI/ML CVEs Tracked
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Latest AI Security Threats
Showing 20 of 800 results — High severity, Active exploitationTensorFlow: FusedBatchNorm heap OOB allows data leak/crash
CVE-2021-41223 TensorFlow: heap OOB in sparse matrix multiply
CVE-2021-41219 TensorFlow: null deref in ragged ops, local RCE
CVE-2021-41214 TensorFlow: heap OOB read in ragged.cross shape inference
CVE-2021-41212 TensorFlow: heap OOB read in QuantizeV2 shape inference
CVE-2021-41211 TensorFlow: heap OOB read in quantize ops, DoS+leak
CVE-2021-41205 TensorFlow: malformed checkpoint triggers overflow/crash
CVE-2021-41203 TensorFlow: heap OOB read in SparseCountSparseOutput
CVE-2021-41210 TensorFlow: uninitialized var in Einsum allows local RCE
CVE-2021-41201 TensorFlow/Keras: RCE via YAML model deserialization
CVE-2021-37678 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 TensorFlow: heap OOB write in SparseAdd op
CVE-2021-29607 TensorFlow Lite: OOB read via crafted TFLite model
CVE-2021-29606 TensorFlow TFLite: heap OOB write via malformed model
CVE-2021-29603 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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