CVE-2026-24140

Jan. 24, 2026, 12:15 a.m.

2.7
Low

Description

MyTube is a self-hosted downloader and player for several video websites. Versions 1.7.78 and below have a Mass Assignment vulnerability in the settings management functionality due to insufficient input validation. The application's saveSettings() function accepts arbitrary key-value pairs without validating property names against allowed settings. The function uses Record<string, any> as input type and iterates over all entries using Object.entries() without filtering unauthorized properties. Any field sent by the attacker is directly persisted to the database, regardless of whether it corresponds to a legitimate application setting. This issue has been fixed in version 1.7.78.

Product(s) Impacted

Vendor Product Versions
Mytube
  • Mytube
  • <1.7.78

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-915
Improperly Controlled Modification of Dynamically-Determined Object Attributes
The product receives input from an upstream component that specifies multiple attributes, properties, or fields that are to be initialized or updated in an object, but it does not properly control which attributes can be modified.

*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 mytube mytube <1.7.78 / / / / / / /

CVSS Score

2.7 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Jan. 24, 2026, 12:15 a.m.
Last Modified: Jan. 24, 2026, 12:15 a.m.

Status : Received

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

More info

*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.