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
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 2346 results — no patchSolidUI: OpenAI API key exposed via log print statement
CVE-2024-34527 Gradio: credential leakage via Windows path encoding bug
CVE-2024-34510 SageMaker SDK: pickle deserialization enables RCE
CVE-2024-34072 Quarkus RESTEasy: DoS via late-stage auth checks
CVE-2024-1726 PyTorch: OOB read in mobile model loader leaks memory
CVE-2024-31584 PyTorch: use-after-free in JIT mobile interpreter, RCE
CVE-2024-31583 PyTorch: heap buffer overflow causes local DoS
CVE-2024-31580 Keras: RCE via malicious model deserialization
CVE-2024-3660 MLflow: LFI via URI parsing allows arbitrary file read
CVE-2024-3573 LangChain: path traversal allows arbitrary file R/W
CVE-2024-3571 BentoML: RCE via insecure deserialization (CVSS 10)
CVE-2024-2912 MLflow: path traversal via URI fragment reads arbitrary files
CVE-2024-1594 MLflow: path traversal via ';' smuggling exposes files
CVE-2024-1593 Gradio: path traversal enables arbitrary file read
CVE-2024-1561 MLflow: path traversal allows arbitrary directory deletion
CVE-2024-1560 MLflow: path traversal enables arbitrary file read
CVE-2024-1558 MLflow: path traversal exposes arbitrary server files
CVE-2024-1483 Gradio: SSRF enables internal network port scanning
CVE-2024-1183 stable-diffusion-webui: path traversal file write
CVE-2024-31462 HuggingFace Transformers: RCE via pickle deserialization
CVE-2024-3568 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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