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 1017 results — High severityTensorFlow: double-free in pooling ops enables RCE
CVE-2023-25801 TensorFlow: NULL ptr deref DoS in ParallelConcat op
CVE-2023-25676 TensorFlow XLA: Bincount shape mismatch causes DoS
CVE-2023-25675 TensorFlow: null pointer DoS in RandomShuffle (XLA)
CVE-2023-25674 TensorFlow: FPE in TensorListSplit (XLA) remote DoS
CVE-2023-25673 TensorFlow: NPE in LookupTableImportV2 causes DoS
CVE-2023-25672 TensorFlow: OOB write DoS via integer type mismatch
CVE-2023-25671 TensorFlow: null ptr DoS in quantized MKL MatMul
CVE-2023-25670 TensorFlow: DoS via AvgPoolGrad invalid stride params
CVE-2023-25669 TensorFlow: integer overflow DoS in video frame decoding
CVE-2023-25667 TensorFlow: FPE in AudioSpectrogram causes DoS
CVE-2023-25666 TensorFlow: null ptr deref DoS via sparse tensors
CVE-2023-25665 TensorFlow: null ptr deref crashes inference serving
CVE-2023-25663 TensorFlow: integer overflow in EditDistance causes DoS
CVE-2023-25662 TensorFlow: null ptr deref in Print op allows remote DoS
CVE-2023-25660 TensorFlow: OOB read in DynamicStitch enables DoS
CVE-2023-25659 TensorFlow: OOB read in GRUBlockCellGrad causes DoS
CVE-2023-25658 TensorFlow: type confusion DoS via bool cast in tensors
CVE-2022-41911 TensorFlow: remote DoS via malformed tensor input
CVE-2022-41909 TensorFlow: DoS via invalid UTF-8 input to PyFunc op
CVE-2022-41908 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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