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 616 results — High severity, has patchPraisonAI: OS command injection via run_python() shell escape
CVE-2026-34937Open WebUI: access control bypass leaks Tool Valve API keys
CVE-2026-34222ONNX: property overwrite via crafted model file
CVE-2026-34445ONNX: symlink path traversal allows arbitrary file read
CVE-2026-27489OpenClaw: .npmrc hijack enables RCE on plugin install
GHSA-m3mh-3mpg-37hwOpenClaw: sandbox escape via mediaUrl path traversal
GHSA-hr5v-j9h9-xjhgopenclaw: SSRF in channel extensions hits internal network
CVE-2026-35629Langflow: IDOR exposes flows and plaintext API keys
CVE-2026-34046langchain-core: path traversal exposes host secrets via prompt config
CVE-2026-34070@mobilenext/mobile-mcp: path traversal via AI agent tool
CVE-2026-33989Open WebUI: BOLA enables RAG poisoning via file overwrite
CVE-2026-28788BentoML: command injection in bentofile.yaml containerize
CVE-2026-33744vLLM: trust_remote_code bypass enables RCE
CVE-2026-27893n8n: SSH MitM enables malicious workflow injection
CVE-2026-33724n8n: SQLi in Data Table node, full DB compromise
CVE-2026-33713n8n: Prototype pollution enables RCE via workflow nodes
CVE-2026-33696n8n: LDAP email match enables permanent account takeover
CVE-2026-33665langflow: Path Traversal enables file access
CVE-2026-33497langflow: Access Control bypass enables privilege escalation
CVE-2026-33484Ray Dashboard: unauthenticated path traversal file read
CVE-2026-32981Frequently 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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