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