AI Threat Alert
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 2375 results CVE-2021-29618 TensorFlow: DoS crash via tf.transpose complex+conjugate 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29617 TensorFlow: DoS via CHECK-fail in strings.substr 5.5 0.2% tensorflow May 14 HIGH E CVE-2021-29616 TensorFlow: null ptr deref in graph optimizer 7.8 0.2% tensorflow May 14 MEDI E CVE-2021-29615 TensorFlow: uncontrolled recursion DoS in ParseAttrValue 5.5 0.2% tensorflow May 14 HIGH E CVE-2021-29614 TensorFlow: OOB write in decode_raw crashes interpreter 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29613 TensorFlow: CTCLoss heap OOB read, info leak + crash 7.1 0.2% tensorflow May 14 HIGH E CVE-2021-29612 TensorFlow: heap overflow in linalg op, RCE risk 7.8 0.3% tensorflow May 14 MEDI E CVE-2021-29611 TensorFlow: DoS via SparseReshape invalid tensor input 5.5 0.2% tensorflow May 14 HIGH E CVE-2021-29610 TensorFlow: heap R/W via quantization axis underflow 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29609 TensorFlow: SparseAdd heap OOB write and null deref 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29608 TensorFlow: heap OOB in RaggedTensorToTensor op 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29607 TensorFlow: heap OOB write in SparseAdd op 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29606 TensorFlow Lite: OOB read via crafted TFLite model 7.8 0.2% tensorflow May 14 MEDI E CVE-2021-29605 TFLite: integer overflow DoS via crafted model file 5.5 0.2% tensorflow May 14 MEDI E CVE-2021-29604 TFLite: DoS via division by zero in hashtable lookup 5.5 0.2% tensorflow May 14 HIGH E CVE-2021-29603 TensorFlow TFLite: heap OOB write via malformed model 7.8 0.2% tensorflow May 14 MEDI E CVE-2021-29602 TensorFlow TFLite: DepthwiseConv division-by-zero DoS 5.5 0.2% tensorflow May 14 HIGH E CVE-2021-29601 TensorFlow Lite: integer overflow in model concatenation 7.1 0.2% tensorflow May 14 HIGH E CVE-2021-29600 TensorFlow TFLite: div-by-zero via crafted OneHot model 7.8 0.2% tensorflow May 14 HIGH E CVE-2021-29599 TFLite Split: malicious model triggers div-by-zero (DoS/RCE) 7.8 0.2% tensorflow May 14 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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