CVE-2026-43875

May 12, 2026, 2:50 p.m.

6.8
Medium

Description

WWBN AVideo is an open source video platform. In versions up to and including 29.0, plugin/MobileManager/oauth2.php completes an OAuth login by sending an HTTP 302 Location: oauth2Success.php?user=<email>&pass=<HASH> where <HASH> is the victim's stored password hash (md5(hash("whirlpool", sha1(password)))) read directly from the users table. AVideo's own login endpoint (objects/login.json.php) accepts an encodedPass=1 flag that bypasses hashing and performs a direct string comparison between the supplied value and the stored hash. Anyone who captures the redirect URL — via server logs, referrer leakage, or browser history — therefore obtains a credential equivalent to the plaintext password and can fully take over the account, including admin accounts. Commit 977cd6930a97571a26da4239e25c8096dd4ecbc1 contains an updated fix.

Product(s) Impacted

Vendor Product Versions
Wwbn
  • Avideo
  • *, 29.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-598
Use of GET Request Method With Sensitive Query Strings
The web application uses the HTTP GET method to process a request and includes sensitive information in the query string of that request.

*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 / / / / / / / /
a wwbn avideo 29.0 / / / / / / /

CVSS Score

6.8 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: May 11, 2026, 10:22 p.m.
Last Modified: May 12, 2026, 2:50 p.m.

Status : Deferred

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.