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 exploitation CVE-2021-29563 TensorFlow: DoS via RFFT empty matrix assertion crash 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29562 TensorFlow: assertion failure DoS in IRFFT op 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29561 TensorFlow: DoS via malformed LoadAndRemapMatrix input 5.5 0.2% tensorflow May 14 HIGH E CVE-2021-29560 TensorFlow: heap OOB in RaggedTensorToTensor op 7.1 0.2% tensorflow May 14 HIGH E CVE-2021-29559 TensorFlow: heap OOB read in UnicodeEncode leaks memory 7.1 0.2% tensorflow May 14 HIGH E CVE-2021-29558 TensorFlow: heap buffer overflow in SparseSplit op 7.8 0.2% tensorflow May 14 MEDI E CVE-2021-29557 TensorFlow: FPE in SparseMatMul causes process DoS 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29556 TensorFlow: DoS via divide-by-zero in Reverse op 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29555 TensorFlow: FusedBatchNorm divide-by-zero crashes ML jobs 5.5 0.2% tensorflow May 14 HIGH E CVE-2021-29553 TensorFlow: heap OOB read via malicious axis in quant op 7.1 0.2% tensorflow May 14 MEDI E CVE-2021-29552 TensorFlow: DoS via empty num_segments tensor assertion 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29551 TensorFlow: OOB read DoS in MatrixTriangularSolve kernel 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29550 TensorFlow: FractionalAvgPool DoS via divide-by-zero 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29549 TensorFlow: divide-by-zero DoS in quantized batch norm op 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29548 TensorFlow: DoS via division by zero in QuantizedBatchNorm 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29547 TensorFlow: OOB read DoS via empty tensor in QuantizedBatchNorm 5.5 0.2% tensorflow May 14 HIGH E CVE-2021-29546 TensorFlow: div-by-zero in QuantizedBiasAdd, C/I/A high 7.8 0.2% tensorflow May 14 MEDI E CVE-2021-29545 TensorFlow: heap OOB write in sparse tensor DoS 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29544 TensorFlow: DoS via missing tensor rank validation 5.5 0.3% tensorflow May 14 MEDI E CVE-2021-29543 TensorFlow: DoS via assertion fail in CTCGreedyDecoder 5.5 0.2% tensorflow May 14 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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