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 481 results — Critical severityMLflow: auth bypass in job API enables unauthenticated RCE
CVE-2026-0545 praisonaiagents: sandbox bypass enables full host RCE
CVE-2026-34938 MLflow: command injection via model_uri in mlserver mode
CVE-2026-0596 OpenClaw: scope bypass escalates low-priv to admin
CVE-2026-33579 OpenClaw: RCE via unsanitized iMessage SCP paths
CVE-2026-32917 OpenClaw: auth bypass enables unauth agent execution
CVE-2026-32916 telnyx: PyPI supply chain attack steals cloud creds
GHSA-955r-262c-33jc CrewAI: Docker sandbox fallback enables RCE
CVE-2026-2287 CrewAI: SSRF via unvalidated RAG tool URLs exposes internal services
CVE-2026-2286 CrewAI: RCE via Docker fallback in CodeInterpreter
CVE-2026-2275 MLflow: RCE via unsanitized model dependency specs
CVE-2025-15379 MLflow: path traversal enables sandbox escape, file overwrite
CVE-2025-15036 OpenClaw: bootstrap code replay escalates to operator.admin
CVE-2026-32987 OpenClaw: auth bypass via group name spoofing in agent
CVE-2026-32975 OpenClaw: exec allowlist bypass enables RCE
CVE-2026-32973 OpenClaw: auth bypass via Feishu reaction misclassification
CVE-2026-32924 OpenClaw: privilege escalation to RCE via token scope bypass
CVE-2026-32922 n8n: stored XSS enables credential theft via workflow
CVE-2026-33749 n8n: member role steals plaintext HTTP credentials
CVE-2026-33663 TensorFlow: type confusion NPD in tensor conversion
CVE-2026-33660 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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