CVE-2024-45612

Sept. 23, 2024, 7:33 p.m.

5.3
Medium

Description

Contao is an Open Source CMS. In affected versions an untrusted user can inject insert tags into the canonical tag, which are then replaced on the web page (front end). Users are advised to update to Contao 4.13.49, 5.3.15 or 5.4.3. Users unable to upgrade should disable canonical tags in the root page settings.

Product(s) Impacted

Vendor Product Versions
Contao
  • Contao
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-20
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
CWE-74
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.

*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 contao contao / / / / / / / /
a contao contao / / / / / / / /
a contao contao / / / / / / / /

CVSS Score

5.3 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: Sept. 17, 2024, 7:15 p.m.
Last Modified: Sept. 23, 2024, 7:33 p.m.

Status : Analyzed

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.