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 818 results — Active exploitation, no patchTensorFlow: DoS via Grappler constant folding segfault
CVE-2021-41204 TensorFlow: malformed checkpoint triggers overflow/crash
CVE-2021-41203 TensorFlow: heap OOB read in SparseCountSparseOutput
CVE-2021-41210 TensorFlow: uninitialized var in Einsum allows local RCE
CVE-2021-41201 TensorFlow: DoS crash in tf.summary file writer
CVE-2021-41200 TensorFlow: tf.image.resize integer overflow DoS
CVE-2021-41199 TensorFlow: tf.tile integer overflow crashes ML process
CVE-2021-41198 TensorFlow: integer overflow in tensor dims causes DoS
CVE-2021-41197 TensorFlow: integer underflow crashes Keras pooling layers
CVE-2021-41196 TensorFlow: integer overflow in segment ops causes DoS
CVE-2021-41195 TensorFlow/Keras: RCE via YAML model deserialization
CVE-2021-37678 TensorFlow: DoS via division by zero in conv ops
CVE-2021-37675 TensorFlow: path traversal in get_file allows file overwrite
CVE-2021-35958 TensorFlow: DoS via invalid SparseCount op args
CVE-2021-29619 TensorFlow: 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 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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