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 1028 results — High severitylangchain-core: path traversal exposes host secrets via prompt config
CVE-2026-34070 @mobilenext/mobile-mcp: path traversal via AI agent tool
CVE-2026-33989 MLflow: broken access control exposes experiment traces
CVE-2025-15381 Open WebUI: BOLA enables RAG poisoning via file overwrite
CVE-2026-28788 BentoML: command injection in bentofile.yaml containerize
CVE-2026-33744 vLLM: trust_remote_code bypass enables RCE
CVE-2026-27893 n8n: SSH MitM enables malicious workflow injection
CVE-2026-33724 n8n: SQLi in Data Table node, full DB compromise
CVE-2026-33713 n8n: Prototype pollution enables RCE via workflow nodes
CVE-2026-33696 n8n: LDAP email match enables permanent account takeover
CVE-2026-33665 langflow: Path Traversal enables file access
CVE-2026-33497 langflow: Access Control bypass enables privilege escalation
CVE-2026-33484 AI component: Input Validation flaw enables exploitation
CVE-2026-4538 OpenClaw: unauthenticated VNC access in AI sandbox
CVE-2026-32064 OpenClaw: auth bypass grants unauthorized agent control access
CVE-2026-32057 OpenClaw: RCE via shell env var injection in system.run
CVE-2026-32056 OpenClaw: path traversal enables arbitrary file write
CVE-2026-32055 OpenClaw: auth bypass lets operators invoke owner control-plane
CVE-2026-32051 OpenClaw: media limit bypass enables memory exhaustion DoS
CVE-2026-32049 OpenClaw: sandbox escape via cross-agent spawn bypass
CVE-2026-32048 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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