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 648 results — Medium severity, no patchMLflow: unconstrained input causes UI denial of service
CVE-2024-6838 TorchServe: unverified S3 bucket exposes benchmark data
CVE-2024-6577 Gradio: NTFS ADS bypass exposes blocked file paths
CVE-2024-12217 vLLM: DoS via unbounded grammar cache exhausts disk
CVE-2025-29770 serialize-javascript: XSS via regex in AI/ML dashboards
CVE-2024-11831 Jobify WP: missing authz allows OpenAI key abuse, SSRF
CVE-2024-13698 Keras: path traversal enables arbitrary file write
CVE-2024-55459 WP Text Prompter: Stored XSS in OpenAI shortcode plugin
CVE-2024-11896 Gradio: path traversal exposes arbitrary server files
CVE-2024-51751 Gradio: SSRF in DownloadButton exposes internal resources
CVE-2024-48052 Lollms: SVG upload XSS enables session hijack and RCE
CVE-2024-6581 lollms: path traversal allows arbitrary directory read
CVE-2024-6985 Gradio: stored XSS via malicious file upload
CVE-2024-47872 Gradio: monitoring endpoint bypass leaks app analytics
CVE-2024-47168 Gradio: path traversal leaks custom component source
CVE-2024-47166 Gradio: CORS null origin bypass leaks auth tokens
CVE-2024-47165 Gradio: path traversal bypasses directory access controls
CVE-2024-47164 open-webui: path traversal → arbitrary file write/RCE
CVE-2024-7037 open-webui: IDOR enables cross-user memory tampering
CVE-2024-7041 Langflow: ReDoS crashes LLM workflow backend via HTTP POST
CVE-2024-9277 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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