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 509 results — High severity, Active exploitationTensorFlow: heap buffer overflow in SparseSplit op
CVE-2021-29558 TensorFlow: heap OOB read via malicious axis in quant op
CVE-2021-29553 TensorFlow: div-by-zero in QuantizedBiasAdd, C/I/A high
CVE-2021-29546 TensorFlow: heap buffer overflow in Conv2D gradient op
CVE-2021-29540 TensorFlow: heap overflow in QuantizedResizeBilinear op
CVE-2021-29537 TensorFlow: heap overflow in QuantizedReshape op
CVE-2021-29536 TensorFlow: heap overflow in QuantizedMul op
CVE-2021-29535 TensorFlow: heap OOB read via RaggedCross op
CVE-2021-29532 TensorFlow: null ptr deref in sparse Cholesky ops
CVE-2021-29530 TensorFlow: heap buffer overflow in quantized image resize
CVE-2021-29529 TensorFlow: div-by-zero DoS in Conv2DBackpropInput
CVE-2021-29525 TensorFlow: heap buffer overflow in Conv3DBackprop ops
CVE-2021-29520 TensorFlow: null ptr deref in session ops, local RCE
CVE-2021-29518 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: heap buffer overflow in RaggedBincount op
CVE-2021-29512 TensorFlow: OOB read in glob path matching causes DoS
CVE-2020-26269 TensorFlow: OOB read in DataFormatVecPermute op
CVE-2020-26267 scikit-learn: DoS via crafted SVM model deserialization
CVE-2020-28975 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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