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 983 results — Medium severity, no patchGradio: open redirect enables phishing against ML users
CVE-2024-4940scikit-learn: TfidfVectorizer leaks training data tokens
CVE-2024-5206MLflow: URL encoding bypass enables model poisoning
CVE-2024-3099WP Testimonial Carousel: OpenAI API key hijack, no auth
CVE-2024-4858wpbot: missing auth exposes OpenAI account files
CVE-2024-0451MLflow: broken access control allows artifact deletion
CVE-2024-4263Quarkus RESTEasy: DoS via late-stage auth checks
CVE-2024-1726Quarkus: JAX-RS authorization not enforced on methods
CVE-2023-5675PyTorch: OOB read in mobile model loader leaks memory
CVE-2024-31584PyTorch: heap buffer overflow causes local DoS
CVE-2024-31580stable-diffusion-webui: path traversal file write
CVE-2024-31462Ollama: DNS rebinding exposes LLM API to remote access
CVE-2024-28224Vert.x: memory leak in HTTP client enables DoS
CVE-2024-1023Gradio: SSRF exposes internal HuggingFace endpoints
CVE-2024-2206LangChain: Billion Laughs XML expansion causes DoS
CVE-2024-1455Intel TF Opt: buffer overflow enables local privesc
CVE-2023-30767MLflow: reflected XSS via Content-Type header injection
CVE-2023-6568TorchServe: ZipSlip arbitrary file write via model upload
CVE-2023-48299Gradio: arbitrary file upload via /upload endpoint
CVE-2023-41626Azure HDInsight: Jupyter Notebook XSS enables spoofing
CVE-2023-35394Frequently 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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