Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2026-33713 is a high-severity SQL Injection (CWE-89) vulnerability in N8N N8N. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 36th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-33713 is a SQL injection vulnerability (CWE-89) affecting n8n, an open-source workflow automation platform, in versions prior to 1.123.26, 2.13.3, and 2.14.1. The flaw resides in the Data Table Get node, where an authenticated user with permissions to create or modify workflows can inject malicious SQL via the orderByColumn parameter when set to an expression incorporating external or user-supplied input. The vulnerability was published on 2026-03-25 and carries a CVSS v3.1 base score of 8.8 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H), indicating high confidentiality, integrity, and availability impacts.
An attacker requires low-privilege authenticated access to exploit this issue by crafting a malicious workflow. On the default SQLite database, exploitation is limited to single-statement manipulation with a practically constrained attack surface. However, in PostgreSQL deployments, multi-statement execution becomes feasible, allowing arbitrary data modification and deletion within the database.
The n8n security advisory recommends upgrading to versions 1.123.26, 2.13.3, 2.14.1, or later to fully remediate the vulnerability. As temporary measures until patching, administrators should restrict workflow creation and editing to fully trusted users, disable the Data Table node by setting the NODES_EXCLUDE environment variable to include n8n-nodes-base.dataTable, and audit existing workflows for Data Table Get nodes using risky orderByColumn expressions. These workarounds provide only partial protection. Additional details are available in the advisory at https://github.com/n8n-io/n8n/security/advisories/GHSA-98c2-4cr3-4jc3.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-15947
Vulnerability Data
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…
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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.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V6.2.5
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.
Input validation directly stops untrusted data from reaching SQL query construction without neutralization.
Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.
System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.
Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.
Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.
Secure-coding rules and security testing phases mandate the use of parameterized queries or equivalent escaping, preventing the construction of dynamic SQL statements from untrusted input.
Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.
The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.