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 1908 results — High severityCVE-2022-35941TensorFlow: DoS via negative ksize in AvgPoolOp7.50.7%tensorflowSep 16HIGHCVE-2022-35940TensorFlow: integer overflow in RaggedRangeOp crashes service7.50.7%tensorflowSep 16HIGHECVE-2022-35935TensorFlow: DoS via SobolSample CHECK-failure7.50.5%tensorflowSep 16HIGHECVE-2022-35934TensorFlow: tf.reshape DoS via integer overflow7.50.5%tensorflowSep 16HIGHECVE-2022-29216TensorFlow CLI: eval() injection enables reverse shell7.80.5%tensorflowMay 21HIGHECVE-2022-29208TensorFlow: OOB write in EditDistance enables local DoS7.10.4%tensorflowMay 20HIGHCVE-2022-29263F5 BIG-IP APM: insecure temp files enable local privesc7.80.2%BIG-IP APMMay 5HIGHECVE-2022-24770Gradio: CSV formula injection via flagging enables RCE8.81.3%gradioMar 17HIGHECVE-2022-0736MLflow: insecure temp file handling causes DoS7.51.6%mlflowFeb 23HIGHECVE-2022-23593TensorFlow MLIR-TFRT: DoS via scalar shape segfault7.50.9%tensorflowFeb 4HIGHECVE-2022-23592TensorFlow: heap OOB read in type inference engine8.10.9%tensorflowFeb 4HIGHECVE-2022-23591TensorFlow: SavedModel stack overflow via recursive GraphDef7.50.8%tensorflowFeb 4HIGHECVE-2022-23590TensorFlow: DoS via malicious SavedModel GraphDef7.51.0%tensorflowFeb 4HIGHECVE-2022-23574TensorFlow: heap OOB read/write enables network RCE8.80.8%tensorflowFeb 4HIGHECVE-2022-23573TensorFlow: uninitialized memory in AssignOp8.80.8%tensorflowFeb 4HIGHECVE-2022-23566TensorFlow: heap OOB write in Grappler, RCE risk8.80.9%tensorflowFeb 4HIGHCVE-2022-23562TensorFlow: Range integer overflow, RCE/DoS risk8.80.6%tensorflowFeb 4HIGHCVE-2022-23561TensorFlow Lite: OOB write, arbitrary write primitive8.80.5%tensorflowFeb 4HIGHECVE-2022-23560TFLite: OOB read/write in sparse tensor → RCE8.80.8%tensorflowFeb 4HIGHECVE-2022-23559TFLite: integer overflow in embedding lookup → heap OOB RW8.81.2%tensorflowFeb 4Frequently 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.
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