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 1431 results — has patchllama-index DuckDB retriever: SQLi enables RCE
CVE-2024-11958langchain-core: file read via prompt template inputs
CVE-2024-10940litellm: unauthenticated DoS crashes LLM proxy server
CVE-2024-10188picklescan: ZIP spoof lets malicious PyTorch models bypass scan
CVE-2025-1944Ray: Redis password exposed via plaintext logging
CVE-2025-1979spacy-llm: SSTI allows unauthenticated RCE (CVSS 9.8)
CVE-2025-25362picklescan: scanner bypass enables supply chain RCE
CVE-2025-1716picklescan: extension bypass enables RCE on model load
CVE-2025-1889JupyterHub LTI13: JWT forgery enables full auth bypass
CVE-2023-25574Label Studio: SSRF via S3 endpoint exposes internal services
CVE-2025-25297Label Studio: reflected XSS via label_config param
CVE-2025-25296Label Studio SDK: path traversal leaks server filesystem
CVE-2025-25295Composio: command injection in AI agent tool calls
CVE-2024-53526LlamaFactory: RCE via OS command injection in training
CVE-2024-52803Giskard: ReDoS in text perturbation causes DoS
CVE-2024-52524TorchGeo: RCE via code injection in geospatial ML lib
CVE-2024-49048Gradio: Dropdown validation bypass enables arbitrary input
GHSA-26jh-r8g2-6fpropen-webui: IDOR enables cross-user memory tampering
CVE-2024-7041Open WebUI: prompt-driven XSS runs attacker JavaScript
CVE-2024-6706ONNX: path traversal in model download enables RCE
CVE-2024-5187Frequently 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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