Flowise 访问控制错误漏洞

Flowise is an open-source tool developed by FlowiseAI, designed for easily building LLM applications. Versions of Flowise prior to 3.1.2 contained a access control vulnerability, which stemmed from a batch assignment vulnerability in the assistant update endpoints. This vulnerability could...

Flowise 信息泄露漏洞

Flowise is an open-source tool developed by FlowiseAI, designed for easily building LLM applications. Versions of Flowise prior to 3.1.2 contained a vulnerability related to information leakage. This vulnerability occurred due to the encryptedData field not being properly stripped during credenti...

Flowise 安全漏洞

Flowise is an open-source tool developed by FlowiseAI, designed for easily building LLM applications. Versions of Flowise prior to 3.1.2 contained a security vulnerability, which stemmed from issues with batch assignment during dataset creation and updating. This vulnerability could lead to...

Flowise 安全漏洞

Flowise is an open-source tool developed by FlowiseAI, designed for easily building LLM applications. Versions of Flowise prior to 3.1.2 contained security vulnerabilities. These vulnerabilities stemmed from issues with batch assignment during evaluation and creation processes, which could lead t...

Flowise 安全漏洞

Flowise is an open-source tool developed by FlowiseAI, designed for easily building LLM applications. Versions of Flowise prior to 3.1.2 contained a security vulnerability. This vulnerability stemmed from a batch assignment issue during the creation and updating of assistants, which could lead to...

Flowise 访问控制错误漏洞

Flowise is an open-source tool developed by FlowiseAI, designed for easily building LLM applications. Versions of Flowise prior to 3.1.2 contained a access control vulnerability. This vulnerability stemmed from a lack of server-side verification and authorization checks at the tool’s update...

Flowise 访问控制错误漏洞

Flowise is an open-source tool developed by FlowiseAI, designed for easily building LLM applications. Versions of Flowise prior to 3.1.2 contained a access control vulnerability. This vulnerability stemmed from insufficient server-side verification and authorization checks at the chat stream upda...

Flowise 安全漏洞

Flowise is an open-source tool developed by FlowiseAI, designed for easily building LLM applications. Versions of Flowise prior to 3.1.2 contained a security vulnerability. This vulnerability stemmed from the checkBasicAuth endpoint, which validated credentials in plaintext without rate limits,...

CVE-2026-8028

A vulnerability was detected in FlowiseAI Flowise up to 3.0.12. This affects the function verify of the file packages/server/src/enterprise/services/account.service.ts of the component Endpoint. Performing a manipulation results in information disclosure. Remote exploitation of the attack is...

CVE-2026-43995

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, multiple tool implementations directly import and invoke raw HTTP clients node-fetch, axios instead of using the secured wrapper. These tools include 1 OpenAPIToolkit/OpenAPIToolkit.ts, 2...

CVE-2026-8026

A security flaw has been discovered in FlowiseAI Flowise up to 3.0.12. Affected is the function Login of the file packages/server/src/enterprise/services/account.service.ts of the component API Response Handler. The manipulation results in information disclosure. The attack can be launched...

CVE-2026-41268

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, Flowise is vulnerable to a critical unauthenticated remote command execution RCE vulnerability. It can be exploited via a parameter override bypass using the FILE-STORAGE:: keyword combined wi...

CVE-2026-41264

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the CSVAgents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. An attacker can...

CVE-2026-41271

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, a Server-Side Request Forgery SSRF vulnerability exists in FlowiseAI's POST/GET API Chain components that allows unauthenticated attackers to force the server to make arbitrary HTTP requests t...

CVE-2026-41267

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, an improper mass assignment JSON injection vulnerability in the account registration endpoint of Flowise Cloud allows unauthenticated attackers to inject server-managed fields and nested objec...

CVE-2026-41276

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, this vulnerability allows remote attackers to bypass authentication on affected installations of FlowiseAI Flowise. Authentication is not required to exploit this vulnerability. The specific...

CVE-2026-41279

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the text-to-speech generation endpoint POST /api/v1/text-to-speech/generate is whitelisted no auth and accepts a credentialId directly in the request body. When called without a chatflowId, th...

CVE-2026-41272

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the core security wrappers secureAxiosRequest and secureFetch intended to prevent Server-Side Request Forgery SSRF contain multiple logic flaws. These flaws allow attackers to bypass the...

CVE-2026-41137

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, The CSVAgent allows providing a custom Pandas CSV read code. Due to lack of sanitization, an attacker can provide a command injection payload that will get interpolated and executed by the...

CVE-2026-41274

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the GraphCypherQAChain node forwards user-provided input directly into the Cypher query execution pipeline without proper sanitization. An attacker can inject arbitrary Cypher commands that ar...