CVE-2026-33770

March 27, 2026, 5:16 p.m.

7.1
High

Description

WWBN AVideo is an open source video platform. In versions up to and including 26.0, the `fixCleanTitle()` static method in `objects/category.php` constructs a SQL SELECT query by directly interpolating both `$clean_title` and `$id` into the query string without using prepared statements or parameterized queries. An attacker who can trigger category creation or renaming with a crafted title value can inject arbitrary SQL. Commit 994cc2b3d802b819e07e6088338e8bf4e484aae4 contains a patch.

Product(s) Impacted

Vendor Product Versions
Wwbn
  • Avideo
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-89
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command 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 wwbn avideo / / / / / / / /

CVSS Score

7.1 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: March 27, 2026, 5:16 p.m.
Last Modified: March 27, 2026, 5:16 p.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.