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
Critical
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Latest AI Security Threats
Showing 20 of 1382 results — Active exploitation CVE-2023-34541 LangChain: RCE via unsafe load_prompt deserialization 9.8 0.9% langchain Jun 20 CRIT E CVE-2023-34540 LangChain: RCE via JiraAPIWrapper crafted input 9.8 1.7% langchain Jun 14 CRIT E CVE-2023-34239 Gradio: path traversal + SSRF exposes model files & infra 9.1 0.7% gradio Jun 8 MEDI E CVE-2023-34094 ChuanhuChatGPT: config exposure leaks API keys 5.3 0.6% chuanhuchatgpt Jun 2 MEDI E CVE-2023-2800 Transformers: temp file race condition allows local DoS 4.7 0.3% transformers May 18 CRIT E CVE-2023-2780 MLflow: path traversal allows arbitrary file read/write 9.8 6.4% mlflow May 17 HIGH E CVE-2023-27564 n8n: unauthenticated info disclosure exposes credentials 7.5 1.2% n8n May 10 HIGH E CVE-2023-27563 n8n: privilege escalation exposes full workflow admin 8.8 1.2% n8n May 10 MEDI E CVE-2023-27562 n8n: path traversal allows arbitrary file read 6.5 2.3% n8n May 10 MEDI E CVE-2023-1651 AI ChatBot WP: auth bypass exposes OpenAI config + XSS 5.4 0.2% wpbot May 8 HIGH E CVE-2023-2356 MLflow: path traversal allows unauthenticated file read 7.5 4.2% mlflow Apr 28 CRIT E CVE-2023-29374 LangChain: RCE via prompt injection in LLMMathChain 9.8 39.7% langchain Apr 5 MEDI E CVE-2023-25661 TensorFlow: DoS via malformed Convolution3D input 6.5 0.4% tensorflow Mar 27 HIGH E CVE-2023-25801 TensorFlow: double-free in pooling ops enables RCE 7.8 0.1% tensorflow Mar 25 HIGH E CVE-2023-25674 TensorFlow: null pointer DoS in RandomShuffle (XLA) 7.5 0.4% tensorflow Mar 25 CRIT E CVE-2023-25668 TensorFlow: unauthenticated RCE via heap buffer overflow 9.8 0.8% tensorflow Mar 25 HIGH E CVE-2023-25667 TensorFlow: integer overflow DoS in video frame decoding 7.5 0.3% tensorflow Mar 25 HIGH E CVE-2023-25665 TensorFlow: null ptr deref DoS via sparse tensors 7.5 0.4% tensorflow Mar 25 CRIT E CVE-2023-25664 TensorFlow: heap overflow in AvgPoolGrad, RCE risk 9.8 0.4% tensorflow Mar 25 CRIT CVE-2023-1177 MLflow: path traversal allows arbitrary file read/write 9.8 69.7% mlflow Mar 24 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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