AI Threat AlertAI 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 1527 results — Medium severityCVE-2021-29523TensorFlow: DoS via integer overflow in sparse ops5.50.2%tensorflowMay 14MEDIECVE-2021-29522TensorFlow: Conv3DBackprop div-by-zero crashes training5.50.2%tensorflowMay 14MEDIECVE-2021-29521TensorFlow: DoS crash via negative sparse tensor shape5.50.2%tensorflowMay 14MEDIECVE-2021-29519TensorFlow SparseCross: type confusion DoS5.50.2%tensorflowMay 14MEDIECVE-2021-29517TensorFlow: Conv3D div-by-zero crashes ML processes5.50.2%tensorflowMay 14MEDIECVE-2021-29516TensorFlow: null ptr deref crashes RaggedTensor ops5.50.2%tensorflowMay 14MEDIECVE-2021-29554TensorFlow: divide-by-zero DoS in DenseCountSparseOutput5.50.2%tensorflowMay 14MEDICVE-2021-28796Qiita::Markdown: XSS in transformer components6.10.8%—Mar 18MEDIECVE-2020-26268TensorFlow: ImmutableConst segfault crashes Python interpreter4.40.2%tensorflowDec 10MEDIECVE-2020-26266TensorFlow: uninitialized memory read via crafted SavedModel5.30.3%tensorflowDec 10MEDIECVE-2020-15213TensorFlow Lite: OOM DoS via crafted segment sum model4.00.8%tensorflowSep 25MEDIECVE-2020-15211TensorFlow Lite: heap OOB RW via flatbuffer tensor index4.80.9%tensorflowSep 25MEDIECVE-2020-15210TensorFlow Lite: memory corruption via aliased tensors6.50.7%tensorflowSep 25MEDIECVE-2020-15209TensorFlow Lite: null ptr deref crashes model inference5.90.8%tensorflowSep 25MEDIECVE-2020-15204TensorFlow: null ptr deref DoS in eager mode ops5.30.9%tensorflowSep 25MEDIECVE-2020-15201TensorFlow: heap overflow in ragged tensor ops4.80.6%tensorflowSep 25MEDIECVE-2020-15200TensorFlow: heap overflow in RaggedCountSparseOutput DoS5.90.9%tensorflowSep 25MEDIECVE-2020-15199TensorFlow: DoS via malformed ragged tensor input5.90.8%tensorflowSep 25MEDIECVE-2020-15198TensorFlow: heap OOB in SparseCountSparseOutput ops5.40.5%tensorflowSep 25MEDIECVE-2020-15197TensorFlow: DoS via malformed sparse tensor input6.30.7%tensorflowSep 25Frequently 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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