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 1961 results — Active exploitationCVE-2021-41205TensorFlow: heap OOB read in quantize ops, DoS+leak7.10.2%tensorflowNov 5MEDIECVE-2021-41204TensorFlow: DoS via Grappler constant folding segfault5.50.1%tensorflowNov 5HIGHECVE-2021-41203TensorFlow: malformed checkpoint triggers overflow/crash7.80.2%tensorflowNov 5HIGHECVE-2021-41210TensorFlow: heap OOB read in SparseCountSparseOutput7.10.2%tensorflowNov 5HIGHECVE-2021-41201TensorFlow: uninitialized var in Einsum allows local RCE7.80.2%tensorflowNov 5MEDIECVE-2021-41200TensorFlow: DoS crash in tf.summary file writer5.50.2%tensorflowNov 5MEDIECVE-2021-41199TensorFlow: tf.image.resize integer overflow DoS5.50.2%tensorflowNov 5MEDIECVE-2021-41198TensorFlow: tf.tile integer overflow crashes ML process5.50.2%tensorflowNov 5MEDIECVE-2021-41197TensorFlow: integer overflow in tensor dims causes DoS5.50.3%tensorflowNov 5MEDIECVE-2021-41196TensorFlow: integer underflow crashes Keras pooling layers5.50.2%tensorflowNov 5MEDIECVE-2021-41195TensorFlow: integer overflow in segment ops causes DoS5.50.2%tensorflowNov 5HIGHECVE-2021-37678TensorFlow/Keras: RCE via YAML model deserialization8.80.4%tensorflowAug 12MEDIECVE-2021-37675TensorFlow: DoS via division by zero in conv ops5.50.2%tensorflowAug 12CRITECVE-2021-35958TensorFlow: path traversal in get_file allows file overwrite9.11.9%tensorflowJun 30MEDIECVE-2021-29619TensorFlow: DoS via invalid SparseCount op args5.50.2%tensorflowMay 14MEDIECVE-2021-29618TensorFlow: DoS crash via tf.transpose complex+conjugate5.50.2%tensorflowMay 14MEDIECVE-2021-29617TensorFlow: DoS via CHECK-fail in strings.substr5.50.2%tensorflowMay 14HIGHECVE-2021-29616TensorFlow: null ptr deref in graph optimizer7.80.2%tensorflowMay 14MEDIECVE-2021-29615TensorFlow: uncontrolled recursion DoS in ParseAttrValue5.50.2%tensorflowMay 14HIGHECVE-2021-29614TensorFlow: OOB write in decode_raw crashes interpreter7.80.2%tensorflowMay 14Frequently 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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