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CVE-2026-33713 is a SQL injection vulnerability in the n8n open-source workflow automation platform, specifically in the Data Table Get node via the orderByColumn expression parameter. It affects n8n versions prior to 1.123.26, versions 2.0.0-rc.0 through 2.13.2, and version 2.14.0. The vulnerability was published on March 25, 2026, with patches released the same day. It carries a CVSS v4.0 base score of 8.7 (High) and a CVSS v3.1 base score of 8.8 (High) (GitHub Advisory, n8n Security Advisory).
The root cause is improper neutralization of special elements in an SQL command (CWE-89), where the orderByColumn parameter in the Data Table Get node is not properly sanitized before being incorporated into SQL queries. An authenticated attacker with workflow creation or modification permissions can inject malicious SQL via an expression that incorporates external or user-supplied input into the orderByColumn field. On default SQLite deployments, exploitation is limited to single-statement manipulation; however, on PostgreSQL deployments, multi-statement execution is possible, significantly expanding the attack surface. No public proof-of-concept code has been identified at this time (n8n Security Advisory, GitHub Advisory).
Successful exploitation allows an authenticated attacker to execute arbitrary SQL commands against the underlying database. On PostgreSQL deployments, this enables data modification, deletion, and potential exfiltration of sensitive information stored in the n8n database, resulting in high confidentiality, integrity, and availability impact. On SQLite (the default backend), the impact is more constrained due to single-statement execution limits, but data manipulation remains possible. The vulnerability does not affect systems subsequent to the vulnerable n8n instance (n8n Security Advisory, GitHub Advisory).
There is no known public proof-of-concept exploit and no evidence of in-the-wild exploitation at this time. The EPSS score is approximately 0.014–0.023%, placing it in the lower percentiles for near-term exploitation likelihood. Exploitation requires authenticated access with workflow creation or modification permissions, which limits the attack surface compared to unauthenticated vulnerabilities. The vulnerability is not currently listed in the CISA Known Exploited Vulnerabilities (KEV) catalog (GitHub Advisory, n8n Security Advisory).
orderByColumn parameter to an expression that incorporates user-controlled or external input containing SQL injection payloads. For example, on PostgreSQL, craft a multi-statement payload such as legitimate_column; DROP TABLE sensitive_data; -- or a data-exfiltration query.orderByColumn value directly into the SQL query sent to the backend database.DROP, INSERT, UPDATE, or SELECT statements in database query logs.orderByColumn field is set to an expression referencing external or user-supplied input, particularly those with SQL metacharacters (;, --, ', UNION, etc.).Upgrade n8n to one of the patched versions: 1.123.26, 2.13.3, or 2.14.1 (or later). If immediate upgrade is not possible, administrators should apply the following temporary mitigations: (1) restrict workflow creation and editing permissions to fully trusted users only; (2) disable the Data Table node by adding n8n-nodes-base.dataTable to the NODES_EXCLUDE environment variable; and (3) audit existing workflows for Data Table Get nodes where orderByColumn is set to an expression incorporating external or user-supplied input. Note that these workarounds do not fully remediate the risk and should only be used as short-term measures pending upgrade (n8n Security Advisory, GitHub Advisory).
The Belgian Centre for Cybersecurity (CCB) issued an advisory warning about critical vulnerabilities in n8n and urged immediate patching (CCB Advisory). The vulnerability was credited to researcher "CodeByMoriarty" in the official GitHub advisory. No significant broader media coverage or notable social media discussion has been identified beyond standard vulnerability tracking and aggregation sites.
Source: This report was generated using AI
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