CVE-2026-70473
Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB and includes sensitive configuration data, including Vector Store settings such as Qdrant Server URL and collection name. The observed behavior indicates missing or insufficient authorization checks, workspace/project/tenant isolation, and pagination or limits, exposing integration parameters and infrastructure details that may enable further targeted attacks. This issue is fixed in version 3.1.3.
취약점 유형
Flowise is a drag-and-drop user interface for building customized large language model (LLM) flows. Prior to 3.1.3, Flowise GET /api/v1/upsert-history returns the entire server-wide upsert history instead of being scoped to the requesting user, tenant, or workspace. The response can exceed 100MB and includes sensitive configuration data, including Vector Store settings such as Qdrant Server URL and collection name. The observed behavior indicates missing or insufficient authorization checks, workspace/project/tenant isolation, and pagination or limits, exposing integration parameters and infrastructure details that may enable further targeted attacks. This issue is fixed in version 3.1.3.
영향받는 제품
- flowiseai flowise
참고 자료
- https://github.com/FlowiseAI/Flowise/commit/d81483b70c997ddf981acc9c49fbd9a02fa345cd
- https://github.com/FlowiseAI/Flowise/pull/6170
- https://github.com/FlowiseAI/Flowise/releases/tag/[email protected]
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-fr6g-7cq8-fg82
- https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-fr6g-7cq8-fg82
공격자보다 먼저 취약점을 찾으세요.
GitHub로 로그인하고 1분 안에 첫 감사를 실행하세요. 무료 플랜은 신용카드가 필요 없습니다.