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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Showing 20 of 2371 resultsTensorFlow: DeserializeSparse null deref causes DoS
CVE-2021-41215 TensorFlow: null deref in ragged ops, local RCE
CVE-2021-41214 TensorFlow: heap OOB read in ragged.cross shape inference
CVE-2021-41212 TensorFlow: heap OOB read in QuantizeV2 shape inference
CVE-2021-41211 TensorFlow: heap OOB read in quantize ops, DoS+leak
CVE-2021-41205 TensorFlow: DoS via Grappler constant folding segfault
CVE-2021-41204 TensorFlow: malformed checkpoint triggers overflow/crash
CVE-2021-41203 TensorFlow: heap OOB read in SparseCountSparseOutput
CVE-2021-41210 TensorFlow: uninitialized var in Einsum allows local RCE
CVE-2021-41201 TensorFlow: DoS crash in tf.summary file writer
CVE-2021-41200 TensorFlow: tf.image.resize integer overflow DoS
CVE-2021-41199 TensorFlow: tf.tile integer overflow crashes ML process
CVE-2021-41198 TensorFlow: integer overflow in tensor dims causes DoS
CVE-2021-41197 TensorFlow: integer underflow crashes Keras pooling layers
CVE-2021-41196 TensorFlow: integer overflow in segment ops causes DoS
CVE-2021-41195 nbgitpuller: RCE via OS command injection in git URLs
CVE-2021-39160 TensorFlow: use-after-free crashes training processes
CVE-2021-37690 TensorFlow: string tensor GC segfault causes process DoS
CVE-2021-37692 TensorFlow TFLite: DoS via crafted model in LSH kernel
CVE-2021-37691 TFLite: heap OOB read via negative indices in GatherNd
CVE-2021-37687 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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