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 3035 resultsClaude Code CLI: shell injection enables RCE
CVE-2026-35021 Claude Code CLI: OS command injection via TERMINAL env
CVE-2026-35020 kedro-datasets: path traversal enables arbitrary file write
CVE-2026-35492 KubeAI: RCE via shell injection in Ollama startup probe
CVE-2026-34940 Ollama: SSRF in Model Pull API enables network pivot
CVE-2026-5530 OpenClaw: PKCE verifier leak enables OAuth token theft
CVE-2026-34511 Directus: cleartext storage exposes AI API keys
GHSA-mvv8-v4jj-g47j Budibase: Unauthenticated RCE as root via webhook
CVE-2026-35216 mobile-mcp: intent injection enables device control via AI agent
CVE-2026-35394 BentoML: malicious bento archive RCE via Jinja2 SSTI
CVE-2026-35044 BentoML: cmd injection RCE on cloud build infra
CVE-2026-35043 LiteLLM: auth bypass via JWT cache key collision
CVE-2026-35030 LiteLLM: auth bypass allows RCE and full takeover
CVE-2026-35029 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 oauthenticator: auth bypass enables JupyterHub account takeover
CVE-2026-33175 MLflow: auth bypass in job API enables unauthenticated RCE
CVE-2026-0545 vLLM: DoS via unbounded n parameter causes OOM crash
CVE-2026-34756 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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