Vulnerabilidades do Langflow-ai Langflow

CVE-2026-105741 Alta · 7.1 CWE-290 05/10/2026

Langflow: IP Spoofing Bypass via `X-Forwarded-For` Allowing Remote Configuration Write

Langflow is a tool for building and deploying AI-powered agents and workflows. From 1.5.0 until 1.10.3, an IP spoofing vulnerability in the Model Context Protocol (MCP) configuration installation endpoint (POST /api/v1/mcp/project/{project_id}/install) allowed authenticated remote attackers to bypass the "local-only" access restriction. By sending a spoofed X-Forwarded-For: 127.0.0.1 header, an attacker could make the server treat the request as originating from localhost, letting them write/overwrite an MCP client configuration file on the server's filesystem. This vulnerability is fixed in 1.10.3.

CVE-2026-105740 Crítica · 9.9 CWE-78 05/10/2026

Langflow: Authenticated RCE via MCP Stdio transport allows any user to execute arbitrary OS commands on the server

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.0, any authenticated Langflow user can achieve Remote Code Execution (RCE) on the server by adding an MCP server with the "Stdio" transport. The user-supplied command field is passed directly to bash -c "exec {command}" with zero validation, no allowlisting, and no sandboxing. The command executes immediately when the server list is fetched. Additionally, the env field allows arbitrary environment variable injection (e.g., LD_PRELOAD, PATH override). This vulnerability is fixed in 1.9.0.

CVE-2026-105699 Alta · 7.1 CWE-639 05/10/2026

Langflow: Authenticated Cross-Project File Disclosure via Unscoped MCP Resource Handlers

Langflow is a tool for building and deploying AI-powered agents and workflows. From 1.6.8 until 1.9.1, Langflow authenticated access to the project identifier in a project-scoped MCP connection but did not authorize the resource URI supplied to resources/read. read_resource forwarded the attacker-controlled URI to handle_read_resource, which parsed a flow_id and filename and called storage_service.get_file without verifying that the flow belonged to the authenticated user or current project. A user with access to any project-scoped MCP endpoint could therefore request another user's flow-backed file, while global handle_list_resources and handle_list_tools behavior could disclose flow and file identifiers that made targeting easier. The vulnerability disclosed uploaded documents, structured data, prompts, and other private flow artifacts across tenants but did not modify victim files or stored flows. This issue is fixed in version 1.9.1.

CVE-2026-105698 Média · 5.4 CWE-639 05/10/2026

Langflow: Cross-user flow access and vertex execution via deprecated /api/v1/build/{flow_id}/vertices endpoints

Langflow is a tool for building and deploying AI-powered agents and workflows. From 1.0.0 until 1.10.1, Langflow did not verify flow ownership in the deprecated POST /api/v1/build/{flow_id}/vertices and POST /api/v1/build/{flow_id}/vertices/{vertex_id} handlers. Through version 1.7.1, an unauthenticated caller who knew another user's flow UUID could reach these handlers; from version 1.7.2 through 1.10.0, callers had to authenticate but needed no elevated privileges. Such a caller could cause retrieve_vertices_order to load and cache the private graph, enumerate its vertex identifiers, and use build_vertex to execute selected vertices and receive their results. build_graph_from_db_no_cache performed a primary-key lookup without an owner filter. This could disclose private flow structure, configured values, and selected outputs and could trigger victim-configured side effects and build-history records, although it did not expose the victim's variable-store credentials or permit modification of the stored flow. This issue is fixed in Langflow 1.10.1 and langflow-base 0.10.1.

CVE-2026-105697 Crítica · 9.9 CWE-78 05/10/2026

Langflow: OS command injection (RCE) via arbitrary command in MCP stdio server configuration

Langflow is a tool for building and deploying AI-powered agents and workflows. Before Langflow 1.10.3, the MCP stdio transport launched whatever command / args a user put in an MCP server configuration, with no allowlist and (before 1.10.3) wrapped in bash -c "exec {command} ...". Any user able to reach the MCP server settings ("Settings → MCP Servers → Add MCP Server", POST/PATCH /api/v2/mcp/servers/{server_name}) or to build a flow with the MCP Tools component could add a "server" whose command is an arbitrary OS command (touch, rm -rf, a reverse shell, ...). The command runs on the Langflow host as the Langflow process user as soon as Langflow tries to connect to the server (listing servers, loading tools, running the flow) — even when the UI then reports that the stdio server failed to start. With the default LANGFLOW_AUTO_LOGIN=true, GET /api/v1/auto_login hands out a token without credentials, so on an exposed instance running the default configuration this is reachable without an account. AUTO_LOGIN is documented as a development-only setting; with it disabled, any authenticated (non-admin) user can exploit it. This issue is fixed in Langflow 1.10.3, langflow-base 0.10.3, and lfx 1.10.3.

CVE-2026-55450 Crítica · 9.3 Exploit público CWE-200 23/06/2026

Langflow: upload não autenticado sem limite e exposição de caminho

Langflow é uma ferramenta para construir e implantar agentes e fluxos de trabalho com IA. Antes da versão 1.9.1, usuários não autenticados podem enviar qualquer quantidade de dados ao servidor sem nenhuma limitação. Não é necessário nenhum conhecimento prévio, apenas acesso de rede ao Langflow. Isso pode levar à exaustão de espaço no servidor. Além disso, na resposta, o caminho absoluto do arquivo enviado é informado ao atacante, o que constitui um vazamento de informação que pode auxiliar o encadeamento de outras primitivas. Esta vulnerabilidade foi corrigida na versão 1.9.1.

CVE-2026-55447 Crítica · 9.6 CWE-61 23/06/2026

Langflow: leitura arbitrária de arquivos por caminho absoluto em componentes RAG

O Langflow é uma ferramenta para construir e implantar agentes e fluxos de trabalho com IA. Antes da versão 1.9.2, ao controlar arquivos que são processados (ingeridos) no RAG, um atacante pode direcionar o nó para ler qualquer arquivo do sistema de arquivos por caminho absoluto. Todos os componentes baseados em BaseFileComponent são vulneráveis à falha. Isso inclui Docling (DoclingInlineComponent), Docling Serve, DoclingRemoteComponent), Read File (FileComponent), NVIDIA Retriever Extraction (NvidiaIngestComponent), Video File (VideoFileComponent) e Unstructured API (UnstructuredComponent). Esta vulnerabilidade está corrigida na versão 1.9.2.

CVE-2026-55446 Alta · 7.5 CWE-400 23/06/2026

Langflow: Unauthenticated DoS through multipart form boundary file upload

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.0.19, an attacker can send a /api/v1/files/upload/ request without any authentication token/cookies and abuse a very long multipart form boundary to make the langflow app unusable for all users for an indefinite amount of time. This vulnerability is fixed in 1.0.19.

CVE-2026-55423 Média · 6.1 CWE-613 23/06/2026

Langflow: Logout button does not clear session

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.7.0, the logout button does not clear the session. The previous user stays logged in unless another user explicitly logs in. This vulnerability is fixed in 1.7.0.

CVE-2026-55255 Alta · 8.4 KEV Alta · 56 Exploit público CWE-639 23/06/2026

Langflow Authorization Bypass Through User-Controlled Key Vulnerability

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.1, an Insecure Direct Object Reference (IDOR) vulnerability in /api/v1/responses endpoint allows an authenticated attacker to execute any flow belonging to another user by specifying the victim's flow ID in the request. This vulnerability is fixed in 1.9.1.

CVE-2026-48520 Média · 6.1 CWE-73 23/06/2026

Langflow: Unauthenticated Shareable Playground arbitrary local or S3 file read

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.10.0, the "Shareable Playground" (or "Public Flows" in code) contains a potential arbitrary file-read vulnerability, depending on the exact flow configuration used. By making a flow public, public execution of the flow is allowed. The execution request can contain a list of files that gets read by Langflow and fed into the LLM. The files path can be any path supported by the storage - it can be either a local file or S3 path if supported by the local configuration This vulnerability is fixed in 1.10.0.

CVE-2026-48519 Crítica · 9.6 CWE-94 23/06/2026

Langflow: injeção de código no Shareable Playground (RCE crítica)

Langflow é uma ferramenta para criar e implantar agentes e fluxos de trabalho com IA. Anteriores à 1.9.2, o "Shareable Playground" (ou "Public Flows" no código) contém uma vulnerabilidade crítica de RCE. O recurso Shareable Playground permite a execução de fluxos de trabalho por usuários não autenticados, por meio de um link. Especificamente, ele habilita a rota /api/v1/build_public_tmp para executar qualquer fluxo público, dado o ID de um fluxo público. Quando a rota executa o fluxo, ela permite fornecer código Python personalizado arbitrário como código dos nós, dentro do payload JSON. O campo vulnerável é data.nodes[X].data.node.template.code.value. Esta vulnerabilidade é corrigida na 1.9.2.

CVE-2026-42867 Média · 6.5 CWE-22 23/06/2026

Langflow: Path Traversal in Knowledge Bases API via Creation Endpoint

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.0, Langflow is vulnerable to Path Traversal in the Knowledge Bases API (POST /api/v1/knowledge_bases). This occurs because user-supplied knowledge base names are used directly to create file paths without proper sanitization or containment checks. An authenticated attacker can exploit this flaw to create directories and write files anywhere on the server's filesystem. This vulnerability is fixed in 1.9.0.

CVE-2026-33760 Alta · 8.8 CWE-639 23/06/2026

Langflow: IDOR/BOLA in Monitor API — Missing Ownership Enforcement on 7 Endpoints

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.0, Langflow's /api/v1/monitor router exposes 7 endpoints that perform read, write, and delete operations on user-owned resources — messages, sessions, build artifacts, and LLM transaction logs — without verifying that the authenticated requester owns the targeted resource. Any authenticated user can read, modify, rename, or permanently delete another user's data by supplying the target's resource ID or flow_id. This is a classic IDOR/BOLA vulnerability. Notably, the same source file (monitor.py) contains one correctly-implemented endpoint that uses an ownership check, demonstrating the correct pattern was known but inconsistently applied. This vulnerability is fixed in 1.9.0.

CVE-2026-12822 Alta · 7.8 CWE-74 21/06/2026

langflow-ai langflow Bundle URL Loader code injection

A vulnerability was identified in langflow-ai langflow up to 1.9.3. This affects an unknown function of the component Bundle URL Loader. The manipulation leads to code injection. The attack needs to be performed locally. The vendor was contacted early about this disclosure but did not respond in any way.

CVE-2026-42048 Crítica · 9.6 CWE-22 12/05/2026

Langflow: Path Traversal in Langflow Knowledge Bases API

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to 1.9.0, Langflow is vulnerable to Path Traversal in the Knowledge Bases API (DELETE /api/v1/knowledge_bases). This occurs because user-supplied knowledge base names are concatenated directly into file paths without proper sanitization or boundary validation. An authenticated attacker can exploit this flaw to delete arbitrary directories anywhere on the server's filesystem, leading to data loss and potential service disruption. This vulnerability is fixed in 1.9.0.

CVE-2026-7700 Média · 6.3 CWE-74 03/05/2026

langflow-ai langflow LambdaFilterComponent lambda_filter.py eval code injection

A weakness has been identified in langflow-ai langflow up to 1.10.2. This affects the function eval of the file src/lfx/src/lfx/components/llm_operations/lambda_filter.py of the component LambdaFilterComponent. Executing a manipulation can lead to code injection. The attack may be performed from remote. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.

CVE-2026-7687 Média · 6.3 CWE-74 03/05/2026

langflow-ai langflow Full Builtins code_parser.py CodeParser.parse_callable_details command injection

A vulnerability was determined in langflow-ai langflow up to 1.8.4. Affected by this issue is the function CodeParser.parse_callable_details of the file src/lfx/src/lfx/custom/code_parser/code_parser.py of the component Full Builtins Module Handler. Executing a manipulation can lead to command injection. The attack can be executed remotely. The exploit has been publicly disclosed and may be utilized. The vendor was contacted early about this disclosure but did not respond in any way.

CVE-2026-6600 Baixa · 3.5 CWE-79 20/04/2026

langflow-ai langflow Frontend React Component Rendering edit-message.tsx cross site scripting

A flaw has been found in langflow-ai langflow up to 1.8.3. This affects an unknown function of the file src/frontend/src/modals/IOModal/components/chatView/chatMessage/components/edit-message.tsx of the component Frontend React Component Rendering. Executing a manipulation can lead to cross site scripting. The attack may be launched remotely. The exploit has been published and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

CVE-2026-6599 Média · 6.3 CWE-74 20/04/2026

langflow-ai langflow Model Context Protocol Configuration API mcp_projects.py install_mcp_config injection

A vulnerability was detected in langflow-ai langflow up to 1.8.3. The impacted element is the function get_client_ip/install_mcp_config of the file src/backend/base/langflow/api/v1/mcp_projects.py of the component Model Context Protocol Configuration API. Performing a manipulation of the argument X-Forwarded-For results in injection. The attack may be initiated remotely. The exploit is now public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

CVE-2026-6598 Média · 4.3 CWE-312 20/04/2026

langflow-ai langflow Project Creation Endpoint projects.py encrypt_auth_settings cleartext storage in file

A security vulnerability has been detected in langflow-ai langflow up to 1.8.3. The affected element is the function create_project/encrypt_auth_settings of the file src/backend/base/Langflow/api/v1/projects.py of the component Project Creation Endpoint. Such manipulation of the argument auth_settings leads to cleartext storage in a file or on disk. The attack can be launched remotely. The exploit has been disclosed publicly and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

CVE-2026-6597 Baixa · 2.7 CWE-255 20/04/2026

langflow-ai langflow Flow Using API core.py has_api_terms credentials storage

A weakness has been identified in langflow-ai langflow up to 1.8.3. Impacted is the function remove_api_keys/has_api_terms of the file src/backend/base/langflow/api/utils/core.py of the component Flow Using API. This manipulation causes unprotected storage of credentials. The attack can be initiated remotely. The exploit has been made available to the public and could be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.

CVE-2026-6596 Alta · 7.3 CWE-284 20/04/2026

langflow-ai langflow API Endpoint endpoints.py create_upload_file unrestricted upload

A security flaw has been discovered in langflow-ai langflow up to 1.1.0. This issue affects the function create_upload_file of the file src/backend/base/Langflow/api/v1/endpoints.py of the component API Endpoint. The manipulation results in unrestricted upload. It is possible to launch the attack remotely. The exploit has been released to the public and may be used for attacks. The vendor was contacted early about this disclosure but did not respond in any way.

CVE-2026-34046 Alta · 8.8 CWE-639 27/03/2026

Langflow: Authenticated Users Can Read, Modify, and Delete Any Flow via Missing Ownership Check

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.5.1, the `_read_flow` helper in `src/backend/base/langflow/api/v1/flows.py` branched on the `AUTO_LOGIN` setting to decide whether to filter by `user_id`. When `AUTO_LOGIN` was `False` (i.e., authentication was enabled), neither branch enforced an ownership check — the query returned any flow matching the given UUID regardless of who owned it. This allowed any authenticated user to read any other user's flow, including embedded plaintext API keys; modify the logic of another user's AI agents, and/or delete flows belonging to other users. The vulnerability was introduced by the conditional logic that was meant to accommodate public/example flows (those with `user_id = NULL`) under auto-login mode, but inadvertently left the authenticated path without an ownership filter. The fix in version 1.5.1 removes the `AUTO_LOGIN` conditional entirely and unconditionally scopes the query to the requesting user.

CVE-2026-33873 Crítica · 9.9 CWE-94 27/03/2026

Langflow has Authenticated Code Execution in Agentic Assistant Validation

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.9.0, the Agentic Assistant feature in Langflow executes LLM-generated Python code during its validation phase. Although this phase appears intended to validate generated component code, the implementation reaches dynamic execution sinks and instantiates the generated class server-side. In deployments where an attacker can access the Agentic Assistant feature and influence the model output, this can result in arbitrary server-side Python execution. Version 1.9.0 fixes the issue.