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 patchPyTorch: memory corruption in JIT flatbuffer loader
CVE-2025-3121OpenAI WP Plugin: broken access control on AI settings
CVE-2025-31843PyTorch: memory corruption in RNN pad_packed_sequence
CVE-2025-2998PyTorch: DoS via mkldnn_max_pool2d resource leak
CVE-2025-2953openairinterface5g: segfault enables DoS via crafted UE message
CVE-2025-26265Open WebUI: missing authz leaks admin credentials
CVE-2024-7046open-webui: missing authz exposes admin prompts
CVE-2024-7045Open WebUI: CSRF wipes RAG DB and AI memories via GET
CVE-2024-7035open-webui: path traversal allows arbitrary file write/RCE
CVE-2024-7034open-webui: path traversal allows file write and RCE
CVE-2024-7033Open WebUI: Stored XSS via file upload, session hijack
CVE-2024-7044BentoML: open redirect exposes ML teams to phishing
GHSA-564p-rx2q-4c8vMLflow: passwordless accounts enable persistent backdoor
CVE-2025-1474Gradio: open redirect exposes AI demo users to phishing
CVE-2024-8021MLflow: unconstrained input causes UI denial of service
CVE-2024-6838TorchServe: unverified S3 bucket exposes benchmark data
CVE-2024-6577Gradio: NTFS ADS bypass exposes blocked file paths
CVE-2024-12217vLLM: DoS via unbounded grammar cache exhausts disk
CVE-2025-29770serialize-javascript: XSS via regex in AI/ML dashboards
CVE-2024-11831Jobify WP: missing authz allows OpenAI key abuse, SSRF
CVE-2024-13698Frequently 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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