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 patchCVE-2021-29598TensorFlow TFLite: SVDF div-by-zero enables RCE7.80.2%tensorflowMay 14HIGHECVE-2021-29597TensorFlow TFLite: div-by-zero crash via crafted model7.80.2%tensorflowMay 14HIGHECVE-2021-29596TensorFlow TFLite: div-by-zero in EmbeddingLookup op7.80.2%tensorflowMay 14HIGHECVE-2021-29595TensorFlow TFLite: crash/RCE via malicious model file7.80.2%tensorflowMay 14HIGHECVE-2021-29594TFLite: divide-by-zero in conv allows code execution7.80.2%tensorflowMay 14HIGHECVE-2021-29593TensorFlow TFLite: div-by-zero via crafted model file7.80.2%tensorflowMay 14HIGHECVE-2021-29592TensorFlow Lite: null-ptr deref in Reshape via 1D tensor7.80.2%tensorflowMay 14HIGHECVE-2021-29591TFLite: crafted model causes infinite loop / stack overflow7.80.3%tensorflowMay 14HIGHECVE-2021-29590TensorFlow TFLite: OOB read via empty tensor in Min/Max ops7.10.2%tensorflowMay 14HIGHECVE-2021-29589TFLite GatherNd: divide-by-zero crashes inference runtime7.80.2%tensorflowMay 14HIGHECVE-2021-29588TensorFlow Lite: DoS/RCE via crafted model stride=07.80.2%tensorflowMay 14HIGHECVE-2021-29587TensorFlow TFLite: divide-by-zero via crafted model file7.80.2%tensorflowMay 14HIGHECVE-2021-29586TFLite: div-by-zero in pooling crashes inference engine7.80.2%tensorflowMay 14HIGHECVE-2021-29585TensorFlow TFLite: divide-by-zero crashes ML inference7.80.2%tensorflowMay 14MEDIECVE-2021-29584TensorFlow: integer overflow DoS in SparseSplit op5.50.2%tensorflowMay 14HIGHECVE-2021-29583TensorFlow: heap overflow in FusedBatchNorm risks RCE7.80.2%tensorflowMay 14HIGHECVE-2021-29582TensorFlow: OOB heap read via Dequantize shape mismatch7.10.2%tensorflowMay 14MEDIECVE-2021-29581TensorFlow: DoS via null buffer in CTCBeamSearchDecoder5.50.2%tensorflowMay 14MEDIECVE-2021-29580TensorFlow: DoS via empty tensor in FractionalMaxPoolGrad5.50.2%tensorflowMay 14HIGHECVE-2021-29579TensorFlow: heap buffer overflow in MaxPoolGrad kernel7.80.2%tensorflowMay 14Frequently 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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