CVE-2025-59424
Sept. 19, 2025, 4 p.m.
7.3
High
Description
LinkAce is a self-hosted archive to collect website links. Prior to 2.3.1, a Stored Cross-Site Scripting (XSS) vulnerability has been identified on the /system/audit page. The application fails to properly sanitize the username field before it is rendered in the audit log. An authenticated attacker can set a malicious JavaScript payload as their username. When an action performed by this user is recorded (e.g., generate or revoke an API token), the payload is stored in the database. The script is then executed in the browser of any user, particularly administrators, who views the /system/audit page. This vulnerability is fixed in 2.3.1.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Linkace |
|
|
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.
*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 | linkace | linkace | <2.3.1 | / | / | / | / | / | / | / |
| a | linkace | linkace | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:N
Timeline
Published: Sept. 18, 2025, 8:15 p.m.
Last Modified: Sept. 19, 2025, 4 p.m.
Last Modified: Sept. 19, 2025, 4 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.