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 1551 results — no patchn8n: privilege escalation exposes full workflow admin
CVE-2023-27563 n8n: path traversal allows arbitrary file read
CVE-2023-27562 AI ChatBot WP: auth bypass exposes OpenAI config + XSS
CVE-2023-1651 MLflow: path traversal allows unauthenticated file read
CVE-2023-2356 LangChain: RCE via prompt injection in LLMMathChain
CVE-2023-29374 TensorFlow: DoS via malformed Convolution3D input
CVE-2023-25661 TensorFlow Lite: FPE in tflite model crashes inference runtime
CVE-2023-27579 TensorFlow: double-free in pooling ops enables RCE
CVE-2023-25801 TensorFlow: NULL ptr deref DoS in ParallelConcat op
CVE-2023-25676 TensorFlow XLA: Bincount shape mismatch causes DoS
CVE-2023-25675 TensorFlow: null pointer DoS in RandomShuffle (XLA)
CVE-2023-25674 TensorFlow: FPE in TensorListSplit (XLA) remote DoS
CVE-2023-25673 TensorFlow: NPE in LookupTableImportV2 causes DoS
CVE-2023-25672 TensorFlow: OOB write DoS via integer type mismatch
CVE-2023-25671 TensorFlow: null ptr DoS in quantized MKL MatMul
CVE-2023-25670 TensorFlow: DoS via AvgPoolGrad invalid stride params
CVE-2023-25669 TensorFlow: unauthenticated RCE via heap buffer overflow
CVE-2023-25668 TensorFlow: integer overflow DoS in video frame decoding
CVE-2023-25667 TensorFlow: FPE in AudioSpectrogram causes DoS
CVE-2023-25666 TensorFlow: null ptr deref DoS via sparse tensors
CVE-2023-25665 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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