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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 314 results — Medium severity, Active exploitationFlowise: reflected XSS enables session hijack and file read
CVE-2024-36422 Gradio: open redirect enables phishing against ML users
CVE-2024-4940 langchain-community: DoS via recursive sitemap loop
CVE-2024-2965 scikit-learn: TfidfVectorizer leaks training data tokens
CVE-2024-5206 MLflow: URL encoding bypass enables model poisoning
CVE-2024-3099 WP Testimonial Carousel: OpenAI API key hijack, no auth
CVE-2024-4858 wpbot: missing auth exposes OpenAI account files
CVE-2024-0451 MLflow: broken access control allows artifact deletion
CVE-2024-4263 PyTorch: heap buffer overflow causes local DoS
CVE-2024-31580 Ollama: DNS rebinding exposes LLM API to remote access
CVE-2024-28224 Gradio: SSRF exposes internal HuggingFace endpoints
CVE-2024-2206 LangChain: Billion Laughs XML expansion causes DoS
CVE-2024-1455 MLflow: reflected XSS via Content-Type header injection
CVE-2023-6568 ChuanhuChatGPT: config exposure leaks API keys
CVE-2023-34094 Transformers: temp file race condition allows local DoS
CVE-2023-2800 n8n: path traversal allows arbitrary file read
CVE-2023-27562 AI ChatBot WP: auth bypass exposes OpenAI config + XSS
CVE-2023-1651 TensorFlow: DoS via malformed Convolution3D input
CVE-2023-25661 Label Studio: SSRF + file read, self-reg bypass
CVE-2022-36551 TensorFlow: input validation DoS in FFT signal ops
CVE-2022-29213 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.
Start 14-Day Free Trial