CVE-2025-62780

Nov. 10, 2025, 10:15 p.m.

3.5
Low

Description

changedetection.io is a free open source web page change detection tool. A Stored Cross Site Scripting is present in changedetection.io Watch update API in versions prior to 0.50.34 due to insufficient security checks. Two scenarios are possible. In the first, an attacker can insert a new watch with an arbitrary URL which really points to a web page. Once the HTML content is retrieved, the attacker updates the URL with a JavaScript payload. In the second, an attacker substitutes the URL in an existing watch with a new URL that is in reality a JavaScript payload. When the user clicks on *Preview* and then on the malicious link, the JavaScript malicious code is executed. Version 0.50.34 fixes the issue.

Product(s) Impacted

Vendor Product Versions
Changedetection.io
  • Changedetection.io
  • *

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 changedetection.io changedetection.io / / / / / / / /

CVSS Score

3.5 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Nov. 10, 2025, 10:15 p.m.
Last Modified: Nov. 10, 2025, 10:15 p.m.

Status : Received

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.