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 1069 results — Active exploitationTensorFlow: Conv3DBackprop div-by-zero crashes training
CVE-2021-29522 TensorFlow: DoS crash via negative sparse tensor shape
CVE-2021-29521 TensorFlow: heap buffer overflow in Conv3DBackprop ops
CVE-2021-29520 TensorFlow SparseCross: type confusion DoS
CVE-2021-29519 TensorFlow: null ptr deref in session ops, local RCE
CVE-2021-29518 TensorFlow: Conv3D div-by-zero crashes ML processes
CVE-2021-29517 TensorFlow: null ptr deref crashes RaggedTensor ops
CVE-2021-29516 TensorFlow: NULL ptr deref in MatrixDiag ops (crash/RCE)
CVE-2021-29515 TensorFlow: heap buffer overflow in RaggedBincount op
CVE-2021-29514 TensorFlow: type confusion → null ptr deref (CVSS 7.8)
CVE-2021-29513 TensorFlow: divide-by-zero DoS in DenseCountSparseOutput
CVE-2021-29554 TensorFlow: heap buffer overflow in RaggedBincount op
CVE-2021-29512 TensorFlow: OOB read in glob path matching causes DoS
CVE-2020-26269 TensorFlow: ImmutableConst segfault crashes Python interpreter
CVE-2020-26268 TensorFlow: OOB read in DataFormatVecPermute op
CVE-2020-26267 TensorFlow: uninitialized memory read via crafted SavedModel
CVE-2020-26266 TensorFlow: OOB read on saved model load leaks heap addresses
CVE-2020-26271 scikit-learn: DoS via crafted SVM model deserialization
CVE-2020-28975 TensorFlow: NaN-triggered DoS in crop_and_resize op
CVE-2020-15266 TensorFlow: OOB read DoS via invalid quantize axis
CVE-2020-15265 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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