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 565 results — Medium severity, Active exploitationopen-webui: IDOR enables cross-user memory tampering
CVE-2024-7041Langflow: ReDoS crashes LLM workflow backend via HTTP POST
CVE-2024-9277ChatGPT WP Plugin: OpenAI API key leak via unauth REST
CVE-2024-6845ilab/vllm: best_of param causes inference API DoS
CVE-2024-8939Streamlit: path traversal leaks Windows NTLM hash
CVE-2024-42474Open WebUI: prompt-driven XSS runs attacker JavaScript
CVE-2024-6706Flowise: reflected XSS enables credential theft
CVE-2024-37146Flowise: reflected XSS enables file read chain via chatflow
CVE-2024-37145Flowise: reflected XSS in chatflow API enables session hijack
CVE-2024-36423Flowise: reflected XSS enables session hijack and file read
CVE-2024-36422Gradio: open redirect enables phishing against ML users
CVE-2024-4940langchain-community: DoS via recursive sitemap loop
CVE-2024-2965scikit-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-2024-1726PyTorch: heap buffer overflow causes local DoS
CVE-2024-31580Ollama: DNS rebinding exposes LLM API to remote access
CVE-2024-28224Frequently 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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