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: heap OOB read in Dequantize op allows RCE
CVE-2022-21726 pytorch-lightning: deserialization RCE via malicious checkpoint
CVE-2021-4118 Gradio: path traversal exposes host filesystem to users
CVE-2021-43831 Sockeye: unsafe YAML load RCE via model config file
CVE-2021-43811 nbdime: stored XSS in Jupyter notebook diff viewer
CVE-2021-41134 TensorFlow: eval() in saved_model_cli allows RCE
CVE-2021-41228 TensorFlow: OOB read in ImmutableConst leaks memory
CVE-2021-41227 TensorFlow Grappler: uninitialized var, local priv-esc
CVE-2021-41225 TensorFlow: 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: AllToAll DoS via divide-by-zero crash
CVE-2021-41218 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 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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