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 1527 results — Medium severityOpenClaw: bootstrap token replay enables scope escalation
CVE-2026-53862OpenClaw: allowlist bypass enables arbitrary shell exec
CVE-2026-53861OpenClaw: sender allowlist bypass via conversation metadata
CVE-2026-53860OpenClaw: SSRF blocklist bypass via trailing-dot
CVE-2026-53859OpenClaw: insecure permissions expose agent config
CVE-2026-53856OpenClaw: privilege escalation via channel auth wildcard
CVE-2026-53854OpenClaw: scope bypass allows unauthorized device access
CVE-2026-53852OpenClaw: Slack reaction bypass triggers agent pipeline
CVE-2026-53851OpenClaw: auth bypass allows unauthorized focus state change
CVE-2026-53850OpenClaw: exec allowlist bypass via command wrappers
CVE-2026-53848OpenClaw: privilege escalation via write scope bypass
CVE-2026-53847OpenClaw: hook bypass enables audit/policy evasion
CVE-2026-53845OpenClaw: auth bypass exposes cross-session agent memory
CVE-2026-53844OpenClaw: XSS via unsafe links in exported session HTML
CVE-2026-53841LangGraph SQLite: deserialization RCE at checkpoint load
CVE-2026-48775stable-diffusion.cpp: OOB read crash via crafted .ckpt file
CVE-2026-47748n8n: webhook prototype pollution enables confused deputy
CVE-2026-54306n8n: unauthed webhook bypass hijacks AI agent workflows
CVE-2026-54308Langflow: unauth file read via Shareable Playground
CVE-2026-48520Langflow: path traversal enables arbitrary file write
CVE-2026-42867Frequently 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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