CVE-2024-51989
Nov. 8, 2024, 7:01 p.m.
7.1
High
Description
Password Pusher is an open source application to communicate sensitive information over the web. A cross-site scripting (XSS) vulnerability was identified in the PasswordPusher application, affecting versions `v1.41.1` through and including `v.1.48.0`. The issue arises from an un-sanitized parameter which could allow attackers to inject malicious JavaScript into the application. Users who self-host and have the login system enabled are affected. Exploitation of this vulnerability could expose user data, access to user sessions or take unintended actions on behalf of users. To exploit this vulnerability, an attacker would need to convince a user to click a malicious account confirmation link. It is highly recommended to update to version `v1.48.1` or later to mitigate this risk. There are no known workarounds for this vulnerability.
### Solution
Update to version `v1.48.1` or later where input sanitization has been applied to the account confirmation process. If updating is not immediately possible,
Product(s) Impacted
| Product | Versions |
|---|---|
| Password Pusher |
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: LOW
- Integrity Impact: HIGH
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:H/A:N
Timeline
Published: Nov. 7, 2024, 6:15 p.m.
Last Modified: Nov. 8, 2024, 7:01 p.m.
Last Modified: Nov. 8, 2024, 7:01 p.m.
Status : Awaiting 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.