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 1321 results — High severityn8n: stored XSS via javascript: URI in Resource Locator
CVE-2026-65592 n8n: expression sanitizer bypass leads to host RCE
CVE-2026-65591 n8n: SSO instance-role provisioning grants owner
CVE-2026-65016 n8n: Project Viewer escalates via AI Agent tool
CVE-2026-65015 Ollama: crafted GGUF file crashes inference server
CVE-2026-65315 Gitea: cached permission check allows repo takeover
CVE-2026-27775 lmdeploy: SSRF via redirect bypasses private IP guard
CVE-2026-63764 Kubeflow: token theft lets any user hijack accounts
CVE-2026-47237 MCP Toolbox: SQLi bypasses BigQuery allowedDatasets ACL
CVE-2026-15829 Pillow: OOB read/DoS via unchecked mmap stride (McIdas)
CVE-2026-54058 Keras: unsafe pickle deserialization allows RCE
CVE-2026-12484 dd-trace: unbounded W3C baggage parsing enables DoS
CVE-2026-50272 dd-trace-py: unbounded baggage header parsing causes DoS
CVE-2026-50271 Langflow: SaveToFile flaw breaks user storage isolation
CVE-2026-13445 Langflow: auth'd param injection via apply_tweaks() enables code exec
CVE-2026-8056 Langflow: path traversal enables auth token forgery
CVE-2026-7872 Langflow: MCP config validation gap enables RCE
CVE-2026-7755 Langflow: path traversal in flow URLs enables file write
CVE-2026-7667 Langflow: command execution via Python Interpreter flaw
CVE-2026-14499 Datadog .NET Tracer: DoS via unbounded baggage header
CVE-2026-50273 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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