CVE-2026-33713
Received
Received - Intake
SQL Injection in n8n Data Table Get Node Enables Data Manipulation
Publication date: 2026-03-25
Last updated on: 2026-03-27
Assigner: GitHub, Inc.
Description
Description
n8n is an open source workflow automation platform. Prior to versions 2.14.1, 2.13.3, and 1.123.26, an authenticated user with permission to create or modify workflows could exploit a SQL injection vulnerability in the Data Table Get node. On default SQLite DB, single statements can be manipulated and the attack surface is practically limited. On PostgreSQL deployments, multi-statement execution is possible, enabling data modification and deletion. The issue has been fixed in n8n versions 1.123.26, 2.13.3, and 2.14.1. Users should upgrade to one of these versions or later to remediate the vulnerability. If upgrading is not immediately possible, administrators should consider the following temporary mitigations: Limit workflow creation and editing permissions to fully trusted users only, disable the Data Table node by adding `n8n-nodes-base.dataTable` to the `NODES_EXCLUDE` environment variable, and/or review existing workflows for Data Table Get nodes where `orderByColumn` is set to an expression that incorporates external or user-supplied input. These workarounds do not fully remediate the risk and should only be used as short-term mitigation measures.
CVSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| n8n | n8n | From 2.0.0 (inc) to 2.13.3 (exc) |
| n8n | n8n | 2.14.0 |
| n8n | n8n | to 1.123.26 (exc) |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-89 | The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data. |