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 108 results — Critical severity, has patchpicklescan: security flaw enables exploitation
GHSA-vvpj-8cmc-gx39 picklescan: Allowlist Bypass evades input filtering
GHSA-7wx9-6375-f5wh mlflow: security flaw enables exploitation
CVE-2026-2635 semantic-kernel: Code Injection enables RCE
CVE-2026-26030 semantic-kernel: Path Traversal enables file access
CVE-2026-25592 langroid: Code Injection enables RCE
CVE-2026-25481 ray: Code Injection enables RCE
CVE-2025-62593 keras: Path Traversal enables file access
CVE-2025-12060 keras: Deserialization enables RCE
CVE-2025-49655 ExecuTorch: heap buffer overflow RCE via model loading
CVE-2025-54949 ExecuTorch: integer overflow RCE on model load
CVE-2025-30404 ExecuTorch: heap buffer overflow RCE in model loading
CVE-2025-54951 ExecuTorch: integer overflow in model load → RCE
CVE-2025-30405 ExecuTorch: OOB read in model loader enables RCE
CVE-2025-54950 llama_index: SQL injection in vector store integrations
CVE-2025-1793 browser-use: URL allowlist bypass enables SSRF in agents
CVE-2025-47241 vLLM: RCE via malicious model, PyTorch < 2.6 bypass
GHSA-ggpf-24jw-3fcw jupyter-remote-desktop-proxy: VNC network exposure
CVE-2025-32428 InvokeAI: RCE via unsafe torch.load deserialization
CVE-2024-12029 pytorch-lightning: file upload RCE (Windows)
CVE-2024-8019 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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