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 818 results — Active exploitation, no patchTensorFlow: SplitV negative arg segfault crashes process
CVE-2021-41222 TensorFlow: 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: tf.function deadlock enables DoS via model load
CVE-2021-41213 TensorFlow: DoS via division-by-zero in conv ops
CVE-2021-41209 TensorFlow: heap R/W + DoS in boosted trees APIs
CVE-2021-41208 TensorFlow: ParallelConcat div-by-zero crashes ML process
CVE-2021-41207 TensorFlow: missing shape validation allows heap R/W
CVE-2021-41206 TensorFlow tf.range: integer overflow in kernel causes DoS
CVE-2021-41202 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 pointer crash in control flow graph
CVE-2021-41217 TensorFlow: 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 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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