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 patchTensorFlow: heap overflow in sparse ops, RCE risk
CVE-2022-21740TensorFlow: QuantizedMaxPool null ptr deref causes DoS
CVE-2022-21739TensorFlow: integer overflow crashes process via sparse op
CVE-2022-21738TensorFlow: DoS via malformed Bincount arguments
CVE-2022-21737TensorFlow: DoS via reachable assertions in ML ops
CVE-2022-23569TensorFlow: DoS via FractionalMaxPool div-by-zero
CVE-2022-21735TensorFlow: DoS via MapStage non-scalar key crash
CVE-2022-21734TensorFlow: UnravelIndex integer overflow → DoS
CVE-2022-21729TensorFlow: DoS via div-by-zero in conv cost estimator
CVE-2022-21725TensorFlow: integer overflow DoS in sparse tensor ops
CVE-2022-23568TensorFlow: integer overflow DoS in sparse tensor ops
CVE-2022-23567TensorFlow: NULL deref DoS via SparseTensorSliceDataset
CVE-2022-21736TensorFlow: StringNGrams integer overflow enables OOM DoS
CVE-2022-21733TensorFlow: ThreadPoolHandle DoS via memory exhaustion
CVE-2022-21732TensorFlow: ConcatV2 type confusion enables remote DoS
CVE-2022-21731TensorFlow: OOB read leaks heap memory, enables DoS
CVE-2022-21730TensorFlow: heap OOB read in ReverseSequence op
CVE-2022-21728TensorFlow: Dequantize integer overflow, RCE risk
CVE-2022-21727TensorFlow: heap OOB read in Dequantize op allows RCE
CVE-2022-21726InsydeH2O firmware: SMM corruption via NVMe driver bug
CVE-2022-24031Frequently 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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