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-2022-23582TensorFlow: SavedModel CHECK-fail causes DoS6.50.8%tensorflowFeb 4MEDIECVE-2022-23581TensorFlow: DoS via Grappler optimizer CHECK failure6.51.2%tensorflowFeb 4MEDIECVE-2022-23580TensorFlow: uncontrolled allocation DoS in shape inference6.50.8%tensorflowFeb 4MEDIECVE-2022-23579TensorFlow: DoS via Grappler optimizer CHECK failure6.50.8%tensorflowFeb 4MEDIECVE-2022-23578TensorFlow: memory leak via invalid graph node4.30.7%tensorflowFeb 4MEDIECVE-2022-23577TensorFlow: null pointer deref crashes model loader6.50.8%tensorflowFeb 4MEDIECVE-2022-23576TensorFlow: integer overflow in cost estimator causes DoS6.50.8%tensorflowFeb 4MEDIECVE-2022-23575TensorFlow: integer overflow in cost estimator → DoS6.50.8%tensorflowFeb 4MEDIECVE-2022-23572TensorFlow: DoS via shape inference assertion failure6.51.0%tensorflowFeb 4MEDICVE-2022-23571TensorFlow: protobuf assertion DoS via invalid tensor dtype6.50.5%tensorflowFeb 4MEDIECVE-2022-23570TensorFlow: null-deref DoS via malformed protobuf tensor6.51.0%tensorflowFeb 4MEDICVE-2022-23565TensorFlow: DoS via malicious SavedModel AttrDef duplication6.50.5%tensorflowFeb 4MEDICVE-2022-23564TensorFlow: DoS via reachable assertion in protobuf decode6.50.5%tensorflowFeb 4MEDICVE-2022-23563TensorFlow: TOC/TOU race allows temp file hijacking6.30.1%tensorflowFeb 4MEDIECVE-2022-23557TensorFlow TFLite: DoS via divide-by-zero in BiasAndClamp6.50.8%tensorflowFeb 4MEDIECVE-2022-21741TensorFlow Lite: DoS via crafted depthwise conv model6.50.8%tensorflowFeb 3MEDIECVE-2022-21739TensorFlow: QuantizedMaxPool null ptr deref causes DoS6.50.8%tensorflowFeb 3MEDIECVE-2022-21738TensorFlow: integer overflow crashes process via sparse op6.50.8%tensorflowFeb 3MEDIECVE-2022-21737TensorFlow: DoS via malformed Bincount arguments6.50.8%tensorflowFeb 3MEDICVE-2022-23569TensorFlow: DoS via reachable assertions in ML ops6.50.5%tensorflowFeb 3Frequently 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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