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 230 results — Critical severity, no patchB2B Login Panel: SQLi enables unauthenticated DB access
CVE-2024-13147 Mobuy Panel: SQLi allows unauthenticated DB takeover
CVE-2024-13152 PandasAI: prompt injection enables unauthenticated RCE
CVE-2024-12366 Sage AI Plugin: unrestricted upload → web shell RCE
CVE-2024-52384 Langflow: RCE via unsandboxed code component execution
CVE-2024-48061 Langflow: Unauthenticated RCE via PythonCodeTool
CVE-2024-42835 PyTorch: RCE via RemoteModule deserialization
CVE-2024-48063 LangChain GraphCypher: prompt injection enables DB wipe
CVE-2024-8309 LangChain.js: path traversal, arbitrary file read/write
CVE-2024-7774 LangChainJS: prompt injection enables full graph DB takeover
CVE-2024-7042 Affiliator WP Plugin: Unauthenticated Web Shell Upload
CVE-2024-49326 Gradio: cleartext MITM exposes ML demo data via share=True
CVE-2024-47871 Gradio: unauthenticated SSRF in /queue/join, internal pivot
CVE-2024-47167 LangChain-Experimental: RCE via eval in math chain
CVE-2024-46946 Panel: file exposure enables sensitive ML data collection
CVE-2024-6878 Panel: Reflected XSS enables session hijack in ML UI
CVE-2024-6877 Panel: plaintext credential storage enables domain compromise
CVE-2024-5960 Panel: Stored XSS enables session hijack in ML dashboards
CVE-2024-5959 Panel: SQL injection enables OS command execution
CVE-2024-5958 Nova Panel N7: auth bypass via alternate channel (EOL)
CVE-2024-6684 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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