AI Threat AlertAI 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 943 results — High severity, Active exploitationTensorFlow: missing shape validation allows heap R/W
CVE-2021-41206TensorFlow: heap OOB in SparseBinCount, crash/disclosure
CVE-2021-41226TensorFlow: heap OOB read in SparseFillEmptyRows op
CVE-2021-41224TensorFlow: FusedBatchNorm heap OOB allows data leak/crash
CVE-2021-41223TensorFlow: heap OOB in sparse matrix multiply
CVE-2021-41219TensorFlow: null deref in ragged ops, local RCE
CVE-2021-41214TensorFlow: heap OOB read in ragged.cross shape inference
CVE-2021-41212TensorFlow: heap OOB read in QuantizeV2 shape inference
CVE-2021-41211TensorFlow: heap OOB read in quantize ops, DoS+leak
CVE-2021-41205TensorFlow: malformed checkpoint triggers overflow/crash
CVE-2021-41203TensorFlow: heap OOB read in SparseCountSparseOutput
CVE-2021-41210TensorFlow: uninitialized var in Einsum allows local RCE
CVE-2021-41201TensorFlow/Keras: RCE via YAML model deserialization
CVE-2021-37678TensorFlow: null ptr deref in graph optimizer
CVE-2021-29616TensorFlow: OOB write in decode_raw crashes interpreter
CVE-2021-29614TensorFlow: CTCLoss heap OOB read, info leak + crash
CVE-2021-29613TensorFlow: heap overflow in linalg op, RCE risk
CVE-2021-29612TensorFlow: heap R/W via quantization axis underflow
CVE-2021-29610TensorFlow: SparseAdd heap OOB write and null deref
CVE-2021-29609TensorFlow: heap OOB in RaggedTensorToTensor op
CVE-2021-29608Frequently 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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