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 1048 results — Medium severityTensorFlow: div-by-zero DoS in Conv2D backprop op
CVE-2021-29524 TensorFlow: DoS via integer overflow in sparse ops
CVE-2021-29523 TensorFlow: Conv3DBackprop div-by-zero crashes training
CVE-2021-29522 TensorFlow: DoS crash via negative sparse tensor shape
CVE-2021-29521 TensorFlow SparseCross: type confusion DoS
CVE-2021-29519 TensorFlow: Conv3D div-by-zero crashes ML processes
CVE-2021-29517 TensorFlow: null ptr deref crashes RaggedTensor ops
CVE-2021-29516 TensorFlow: divide-by-zero DoS in DenseCountSparseOutput
CVE-2021-29554 Qiita::Markdown: XSS in transformer components
CVE-2021-28796 TensorFlow: ImmutableConst segfault crashes Python interpreter
CVE-2020-26268 TensorFlow: uninitialized memory read via crafted SavedModel
CVE-2020-26266 TensorFlow Lite: OOM DoS via crafted segment sum model
CVE-2020-15213 TensorFlow Lite: heap OOB RW via flatbuffer tensor index
CVE-2020-15211 TensorFlow Lite: memory corruption via aliased tensors
CVE-2020-15210 TensorFlow Lite: null ptr deref crashes model inference
CVE-2020-15209 TensorFlow: null ptr deref DoS in eager mode ops
CVE-2020-15204 TensorFlow: heap overflow in ragged tensor ops
CVE-2020-15201 TensorFlow: heap overflow in RaggedCountSparseOutput DoS
CVE-2020-15200 TensorFlow: DoS via malformed ragged tensor input
CVE-2020-15199 TensorFlow: heap OOB in SparseCountSparseOutput ops
CVE-2020-15198 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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