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 2876 results — no patchTensorFlow: heap overflow in DatasetToTFRecord ops
CVE-2021-37650TensorFlow: StringNGrams integer overflow triggers DoS
CVE-2021-37646TensorFlow: integer overflow in quantize grad causes DoS
CVE-2021-37645TensorFlow: DoS via negative TensorListReserve input
CVE-2021-37644TensorFlow: RaggedGather OOB read - heap leak + DoS
CVE-2021-37641TensorFlow: heap OOB read in sparse reduction ops
CVE-2021-37635TensorFlow: null ptr deref crashes inference via bad tensor
CVE-2021-37649TensorFlow: null deref in SparseTensor ops causes DoS
CVE-2021-37647TensorFlow: null deref in MatrixDiagPartOp, DoS risk
CVE-2021-37643TensorFlow: heap OOB read via tensor restore API
CVE-2021-37639TensorFlow: null ptr deref in RaggedTensorToTensor op
CVE-2021-37638TensorFlow: null ptr dereference in CompressElement (DoS)
CVE-2021-37637TensorFlow: DoS via divide-by-zero in inplace ops
CVE-2021-37660TensorFlow: DoS via divide-by-zero in ResourceGather op
CVE-2021-37653TensorFlow: ResourceScatterDiv div-by-zero enables DoS
CVE-2021-37642TensorFlow: SparseReshape div-by-zero crashes ML pipelines
CVE-2021-37640TensorFlow: div-by-zero DoS in SparseDenseCwiseDiv op
CVE-2021-37636TensorFlow: path traversal in get_file allows file overwrite
CVE-2021-35958InsydeH2O SMM drivers: buffer flaw corrupts firmware/OS memory
CVE-2020-27339TensorFlow: DoS via invalid SparseCount op args
CVE-2021-29619Frequently 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.
Need deeper analysis?
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