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 1553 results — no patchTensorFlow TFLite: DoS via divide-by-zero in BiasAndClamp
CVE-2022-23557 TensorFlow Lite: DoS via crafted depthwise conv model
CVE-2022-21741 TensorFlow: heap overflow in sparse ops, RCE risk
CVE-2022-21740 TensorFlow: QuantizedMaxPool null ptr deref causes DoS
CVE-2022-21739 TensorFlow: integer overflow crashes process via sparse op
CVE-2022-21738 TensorFlow: DoS via malformed Bincount arguments
CVE-2022-21737 TensorFlow: DoS via reachable assertions in ML ops
CVE-2022-23569 TensorFlow: DoS via FractionalMaxPool div-by-zero
CVE-2022-21735 TensorFlow: DoS via MapStage non-scalar key crash
CVE-2022-21734 TensorFlow: UnravelIndex integer overflow → DoS
CVE-2022-21729 TensorFlow: DoS via div-by-zero in conv cost estimator
CVE-2022-21725 TensorFlow: integer overflow DoS in sparse tensor ops
CVE-2022-23568 TensorFlow: integer overflow DoS in sparse tensor ops
CVE-2022-23567 TensorFlow: NULL deref DoS via SparseTensorSliceDataset
CVE-2022-21736 TensorFlow: StringNGrams integer overflow enables OOM DoS
CVE-2022-21733 TensorFlow: ThreadPoolHandle DoS via memory exhaustion
CVE-2022-21732 TensorFlow: ConcatV2 type confusion enables remote DoS
CVE-2022-21731 TensorFlow: OOB read leaks heap memory, enables DoS
CVE-2022-21730 TensorFlow: heap OOB read in ReverseSequence op
CVE-2022-21728 TensorFlow: Dequantize integer overflow, RCE risk
CVE-2022-21727 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.
Need deeper analysis?
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