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 943 results — High severity, Active exploitationMistral Vibe: RCE via git hooks run before trust check
CVE-2026-93993SiYuan: stored XSS in heading style enables Electron RCE
CVE-2026-93923SiYuan: stored XSS in notebook names enables RCE
CVE-2026-93922ToolHive: default network profile enables MCP lateral movement
CVE-2026-58197LMDeploy: eval() injection via malicious model config
CVE-2026-33625vLLM: negative token ID crashes embeddings engine
CVE-2026-93592SiYuan: SQL injection in getGraph exposes private notes
CVE-2026-93591Vvveb CMS: SSRF in oEmbed proxy leaks cloud metadata
CVE-2026-54507Jupyter Server: Referer token leak in 5xx logs
CVE-2026-86049Grav CMS: callable-array bypass enables authenticated RCE
CVE-2026-72819Grav CMS: callable guard bypass enables file read/write
CVE-2026-69088SiYuan: stored XSS in backlink titles enables RCE
CVE-2026-92986SiYuan: stored XSS via bookmark labels enables RCE
CVE-2026-92985LMDeploy: session leak in DistServe enables DoS via OOM
CVE-2026-92983LMDeploy: unauthenticated assertion crash halts inference
CVE-2026-92971LightGBM: OOB write via crafted model file in SHAP
CVE-2026-92786Pelican Panel: missing authz lets low-priv users run commands
CVE-2026-92762Flowise: SSRF in web loaders exposes cloud metadata
CVE-2026-91938Flowise: NoSQL injection exposes other users' chat history
CVE-2026-91937Flowise: SSRF in chat-model baseURL leaks API keys
CVE-2026-91935Frequently 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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