AI Threat AlertAI 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 2876 results — no patchSiYuan: 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-2026-92971Redis: cluster bus OOB read enables DoS and info leak
CVE-2026-92925n8n: Source control push flaw enables cross-project deletion
CVE-2026-92588n8n: Git node sandbox escape reads files outside restriction
CVE-2026-92587LightGBM: OOB write via crafted model file in SHAP
CVE-2026-92786Pelican Panel: missing authz lets low-priv users run commands
CVE-2026-92762Kedro-Datasets: unsafe torch.load enables RCE via model
CVE-2026-62997vLLM: algorithmic complexity DoS in thinking budget
CVE-2026-92365WPBot: missing capability check exposes Claude API key
CVE-2026-87959vLLM: MoRIIO KV handler flaw allows remote DoS
CVE-2026-92220EspoCRM: weak PRNG tokens allow opt-in/invite forgery
CVE-2026-92298Concrete CMS: stored XSS via page path in dialog
CVE-2026-81926mcp-gitlab: GraphQL read-only bypass, auth gaps, DoS
GHSA-5648-rgj9-v224Nezha: Host header injection in OAuth2 redirect_uri
GHSA-rf68-8gjr-36q7Concrete CMS: missing authz leaks all admin accounts
CVE-2026-18110Flowise: SSRF in web loaders exposes cloud metadata
CVE-2026-91938Flowise: NoSQL injection exposes other users' chat history
CVE-2026-91937Frequently 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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