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 845 results — Medium severityOpenClaw: exec allowlist bypass via shell init-file options
GHSA-wpc6-37g7-8q4w openclaw: sandbox escape via mirror mode hook execution
GHSA-42mx-vp8m-j7qh openclaw: auth bypass exposes agent session visibility
GHSA-fwjq-xwfj-gv75 openclaw: privilege escalation to admin voice config persistence
GHSA-3q42-xmxv-9vfr openclaw: SSRF in marketplace plugin download
GHSA-vjx8-8p7h-82gr openclaw: media download bypass exhausts disk storage
GHSA-4g5x-2jfc-xm98 openclaw: operator scope bypass in phone arm/disarm cmds
GHSA-h2v7-xc88-xx8c MLflow: auth bypass exposes model artifacts across experiments
CVE-2026-33866 MLflow: stored XSS via MLmodel YAML artifact upload
CVE-2026-33865 HuggingFace Transformers: RCE via malicious checkpoint load
CVE-2026-1839 OpenClaw: script preflight bypass enables unsafe exec
CVE-2026-34425 kedro-datasets: path traversal enables arbitrary file write
CVE-2026-35492 Ollama: SSRF in Model Pull API enables network pivot
CVE-2026-5530 Directus: cleartext storage exposes AI API keys
GHSA-mvv8-v4jj-g47j vLLM: OOM DoS via unbounded video frame decoding
CVE-2026-34755 vLLM: SSRF in batch API exposes cloud metadata endpoints
CVE-2026-34753 ltiauthenticator: OAuth nonce leak causes server DoS
CVE-2026-34052 JupyterHub: open redirect enables post-login phishing
CVE-2026-33709 vLLM: DoS via unbounded n parameter causes OOM crash
CVE-2026-34756 OpenClaw: SSRF in marketplace fetch hits internal AI infra
GHSA-9q7v-8mr7-g23p 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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