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 2876 results — no patchTensorFlow: memory leak via invalid graph node
CVE-2022-23578TensorFlow: null pointer deref crashes model loader
CVE-2022-23577TensorFlow: integer overflow in cost estimator causes DoS
CVE-2022-23576TensorFlow: integer overflow in cost estimator → DoS
CVE-2022-23575TensorFlow: heap OOB read/write enables network RCE
CVE-2022-23574TensorFlow: uninitialized memory in AssignOp
CVE-2022-23573TensorFlow: DoS via shape inference assertion failure
CVE-2022-23572TensorFlow: protobuf assertion DoS via invalid tensor dtype
CVE-2022-23571TensorFlow: null-deref DoS via malformed protobuf tensor
CVE-2022-23570TensorFlow: heap OOB write in Grappler, RCE risk
CVE-2022-23566TensorFlow: DoS via malicious SavedModel AttrDef duplication
CVE-2022-23565TensorFlow: DoS via reachable assertion in protobuf decode
CVE-2022-23564TensorFlow: TOC/TOU race allows temp file hijacking
CVE-2022-23563TensorFlow: Range integer overflow, RCE/DoS risk
CVE-2022-23562TensorFlow Lite: OOB write, arbitrary write primitive
CVE-2022-23561TFLite: OOB read/write in sparse tensor → RCE
CVE-2022-23560TFLite: integer overflow in embedding lookup → heap OOB RW
CVE-2022-23559TFLite: integer overflow in model loading, RCE risk
CVE-2022-23558TensorFlow TFLite: DoS via divide-by-zero in BiasAndClamp
CVE-2022-23557TensorFlow Lite: DoS via crafted depthwise conv model
CVE-2022-21741Frequently 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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