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 1028 results — High severity CVE-2021-29540 TensorFlow: heap buffer overflow in Conv2D gradient op 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29537 TensorFlow: heap overflow in QuantizedResizeBilinear op 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29536 TensorFlow: heap overflow in QuantizedReshape op 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29535 TensorFlow: heap overflow in QuantizedMul op 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29532 TensorFlow: heap OOB read via RaggedCross op 7.1 0.2% tensorflow May 14 HIGH E CVE-2021-29530 TensorFlow: null ptr deref in sparse Cholesky ops 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29529 TensorFlow: heap buffer overflow in quantized image resize 7.8 0.3% tensorflow May 14 HIGH E CVE-2021-29525 TensorFlow: div-by-zero DoS in Conv2DBackpropInput 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29520 TensorFlow: heap buffer overflow in Conv3DBackprop ops 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29518 TensorFlow: null ptr deref in session ops, local RCE 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29515 TensorFlow: NULL ptr deref in MatrixDiag ops (crash/RCE) 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29514 TensorFlow: heap buffer overflow in RaggedBincount op 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29513 TensorFlow: type confusion → null ptr deref (CVSS 7.8) 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29512 TensorFlow: heap buffer overflow in RaggedBincount op 7.8 0.2% tensorflow May 14 HIGH E CVE-2020-26269 TensorFlow: OOB read in glob path matching causes DoS 7.5 0.7% tensorflow Dec 10 HIGH E CVE-2020-26267 TensorFlow: OOB read in DataFormatVecPermute op 7.8 0.2% tensorflow Dec 10 HIGH E CVE-2020-28975 scikit-learn: DoS via crafted SVM model deserialization 7.5 3.4% scikit-learn Nov 21 HIGH E CVE-2020-15266 TensorFlow: NaN-triggered DoS in crop_and_resize op 7.5 0.9% tensorflow Oct 21 HIGH E CVE-2020-15265 TensorFlow: OOB read DoS via invalid quantize axis 7.5 0.9% tensorflow Oct 21 HIGH E CVE-2020-15214 TensorFlow Lite: OOB write in segment sum, memory corruption risk 8.1 0.6% tensorflow Sep 25 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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