CVE-2025-62709
Nov. 21, 2025, 5:15 p.m.
6.8
Medium
Description
ClipBucket v5 is an open source video sharing platform. In ClipBucket version 5.5.2, a change to network.class.php causes the application to dynamically build the server URL from the incoming HTTP Host header when the configuration base_url is not set. Because Host is a client-controlled header, an attacker can supply an arbitrary Host value. This allows an attacker to cause password-reset links (sent by forget.php) to be generated with the attacker’s domain. If a victim follows that link and enters their activation code on the attacker-controlled domain, the attacker can capture the code and use it to reset the victim’s password and take over the account. This issue has been patched in version 5.5.2#162.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Clipbucket |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-640
Weak Password Recovery Mechanism for Forgotten Password
The product contains a mechanism for users to recover or change their passwords without knowing the original password, but the mechanism is weak.
*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 | clipbucket | clipbucket | 5.5.2 | / | / | / | / | / | / | / |
Tags
CVSS Score
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
Timeline
Published: Nov. 20, 2025, 5:15 p.m.
Last Modified: Nov. 21, 2025, 5:15 p.m.
Last Modified: Nov. 21, 2025, 5:15 p.m.
Status : Undergoing Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
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.