CVE-2026-5797

April 17, 2026, 6:16 a.m.

5.3
Medium

Description

The Quiz And Survey Master plugin for WordPress is vulnerable to Arbitrary Shortcode Execution in versions up to and including 11.1.0. This is due to insufficient input sanitization and the execution of do_shortcode() on user-submitted quiz answer text. User-submitted answers pass through sanitize_text_field() and htmlspecialchars(), which only strip HTML tags but do not encode or remove shortcode brackets [ and ]. When quiz results are displayed, the plugin calls do_shortcode() on the entire results page output (including user answers), causing any injected shortcodes to be executed. This makes it possible for unauthenticated attackers to inject arbitrary WordPress shortcodes such as [qsm_result id=X] to access other users' quiz submissions without authorization, as the qsm_result shortcode lacks any authorization checks.

Product(s) Impacted

Vendor Product Versions
Wordpress
  • Quiz And Survey Master
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

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.

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: April 17, 2026, 6:16 a.m.
Last Modified: April 17, 2026, 6:16 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.