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 308 results — Medium severity, has patchopenclaw: webhook rate-limit bypass enables token brute-force
CVE-2026-35646 openclaw: unauthenticated webhook parsing enables DoS
CVE-2026-35640 openclaw: auth bypass exposes agent session history via HTTP
CVE-2026-35657 n8n: stored XSS via malicious OAuth2 Authorization URL
GHSA-364x-8g5j-x2pr n8n: Stored XSS in Chat Trigger via CSS injection
GHSA-3c7f-5hgj-h279 n8n: stored XSS enables phishing via Form Node
GHSA-w673-8fjw-457c n8n: Stored XSS in Form Trigger enables phishing
GHSA-q4fm-pjq6-m63g open-webui: missing authz allows cross-KB file deletion
CVE-2026-29070 Open WebUI: path traversal leaks server filesystem path
CVE-2026-28786 Streamlit: SSRF leaks NTLMv2 creds via UNC path
CVE-2026-33682 n8n: LDAP injection enables auth bypass in workflows
CVE-2026-33751 n8n: secrets vault bypass exposes credentials to low-priv users
CVE-2026-33722 n8n: OAuth state forgery hijacks user credentials
CVE-2026-33720 n8n: uninitialized buffer leaks secrets via Task Runner
CVE-2026-27496 fickling: Allowlist Bypass evades input filtering
GHSA-5cxw-w2xg-2m8h fickling: Allowlist Bypass evades input filtering
GHSA-r48f-3986-4f9c langgraph: Deserialization enables RCE
CVE-2026-28277 langgraph-checkpoint: Deserialization enables RCE
CVE-2026-27794 fickling: Allowlist Bypass evades input filtering
GHSA-mhc9-48gj-9gp3 ray: Missing Auth allows unauthenticated access
CVE-2026-27482 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?
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