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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 1016 results — High severityTensorFlow: CuDNN heap overflow, local code execution
CVE-2021-41221 TensorFlow: use-after-free in async collective ops
CVE-2021-41220 TensorFlow: heap overflow in Transpose via negative perm
CVE-2021-41216 TensorFlow: heap R/W + DoS in boosted trees APIs
CVE-2021-41208 TensorFlow: missing shape validation allows heap R/W
CVE-2021-41206 TensorFlow: heap OOB in SparseBinCount, crash/disclosure
CVE-2021-41226 TensorFlow: heap OOB read in SparseFillEmptyRows op
CVE-2021-41224 TensorFlow: FusedBatchNorm heap OOB allows data leak/crash
CVE-2021-41223 TensorFlow: heap OOB in sparse matrix multiply
CVE-2021-41219 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: 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 nbgitpuller: RCE via OS command injection in git URLs
CVE-2021-39160 TFLite: uninitialized quant params corrupt inference
CVE-2021-37682 TensorFlow: heap over-read leaks memory via RaggedTensor
CVE-2021-37679 TensorFlow/Keras: RCE via YAML model deserialization
CVE-2021-37678 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
Start 14-Day Free Trial