CVE-2025-58177

Sept. 16, 2025, 12:49 p.m.

5.4
Medium

Description

n8n is an open source workflow automation platform. From 1.24.0 to before 1.107.0, there is a stored cross-site scripting (XSS) vulnerability in @n8n/n8n-nodes-langchain.chatTrigger. An authorized user can configure the LangChain Chat Trigger node with malicious JavaScript in the initialMessages field and enable public access so that the payload is executed in the browser of any user who visits the resulting public chat URL. This can be used for phishing or to steal cookies or other sensitive data from users accessing the public chat link. The issue is fixed in version 1.107.0. Updating to 1.107.0 or later is recommended. As a workaround, the affected chatTrigger node can be disabled. No other workarounds are known.

Product(s) Impacted

Vendor Product Versions
N8n
  • N8n
  • 1.24.0-1.107.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a n8n n8n 1.24.0-1.107.0 / / / / / / /

CVSS Score

5.4 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: CHANGED
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N

    View Vector String

Timeline

Published: Sept. 15, 2025, 5:15 p.m.
Last Modified: Sept. 16, 2025, 12:49 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

security-advisories@github.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.