CVE-2026-34046
Full vulnerability record from the local CVENow database.
Description
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.
View original CVE JSON
{
"id": "CVE-2026-34046",
"sourceIdentifier": "[email protected]",
"published": "2026-03-27T21:17:27.753",
"lastModified": "2026-10-26T22:10:00.163",
"vulnStatus": "Analyzed",
"cveTags": [],
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"value": "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."
},
{
"lang": "es",
"value": "Langflow es una herramienta para construir y desplegar agentes y flujos de trabajo impulsados por IA. Antes de la versión 1.5.1, el asistente ’_read_flow’ en ’src/backend/base/langflow/api/v1/flows.py’ se bifurcaba en la configuración ’AUTO_LOGIN’ para decidir si filtrar por ’user_id’. Cuando ’AUTO_LOGIN’ era ’False’ (es decir, la autenticación estaba habilitada), ninguna rama aplicaba una verificación de propiedad - la consulta devolvía cualquier flujo que coincidiera con el UUID dado, independientemente de quién lo poseyera. Esto permitía a cualquier usuario autenticado leer el flujo de cualquier otro usuario, incluyendo claves API de texto plano incrustadas; modificar la lógica de los agentes de IA de otro usuario, y/o eliminar flujos pertenecientes a otros usuarios. La vulnerabilidad fue introducida por la lógica condicional que estaba destinada a acomodar flujos públicos/de ejemplo (aquellos con ’user_id = NULL’) bajo el modo de inicio de sesión automático, pero inadvertidamente dejó la ruta autenticada sin un filtro de propiedad. La corrección en la versión 1.5.1 elimina la condicional ’AUTO_LOGIN’ por completo y limita incondicionalmente la consulta al usuario solicitante."
}
],
"affected": [
{
"source": "[email protected]",
"affectedData": [
{
"vendor": "langflow-ai",
"product": "langflow",
"versions": [
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"status": "affected"
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"exploitMaturity": "NOT_DEFINED",
"confidentialityRequirement": "NOT_DEFINED",
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"id": "CVE-2026-34046",
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"weaknesses": [
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"source": "[email protected]",
"type": "Secondary",
"description": [
{
"lang": "en",
"value": "CWE-639"
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{
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"value": "CWE-862"
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"source": "[email protected]",
"tags": [
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},
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"url": "https://github.com/langflow-ai/langflow/security/advisories/GHSA-8c4j-f57c-35cf",
"source": "[email protected]",
"tags": [
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}