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 1961 results — Active exploitationTensorFlow: DoS via empty num_segments tensor assertion
CVE-2021-29552TensorFlow: OOB read DoS in MatrixTriangularSolve kernel
CVE-2021-29551TensorFlow: FractionalAvgPool DoS via divide-by-zero
CVE-2021-29550TensorFlow: divide-by-zero DoS in quantized batch norm op
CVE-2021-29549TensorFlow: DoS via division by zero in QuantizedBatchNorm
CVE-2021-29548TensorFlow: OOB read DoS via empty tensor in QuantizedBatchNorm
CVE-2021-29547TensorFlow: div-by-zero in QuantizedBiasAdd, C/I/A high
CVE-2021-29546TensorFlow: heap OOB write in sparse tensor DoS
CVE-2021-29545TensorFlow: DoS via missing tensor rank validation
CVE-2021-29544TensorFlow: DoS via assertion fail in CTCGreedyDecoder
CVE-2021-29543TensorFlow: StringNGrams heap overflow crashes ML process
CVE-2021-29542TensorFlow: null ptr deref DoS in StringNGrams op
CVE-2021-29541TensorFlow: heap buffer overflow in Conv2D gradient op
CVE-2021-29540TensorFlow: type confusion in ImmutableConst causes DoS
CVE-2021-29539TensorFlow: div-by-zero DoS in Conv2DBackpropFilter
CVE-2021-29538TensorFlow: heap overflow in QuantizedResizeBilinear op
CVE-2021-29537TensorFlow: heap overflow in QuantizedReshape op
CVE-2021-29536TensorFlow: heap overflow in QuantizedMul op
CVE-2021-29535TensorFlow: DoS via CHECK-fail in SparseConcat op
CVE-2021-29534TensorFlow: DoS via empty image in DrawBoundingBoxes
CVE-2021-29533Frequently 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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