8.8
HIGH CVSS 4.0
CVE-2019-25576
Kepler Wallpaper Script 1.1 SQL Injection via category
Description

Kepler Wallpaper Script 1.1 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code into the category parameter. Attackers can send GET requests to the category endpoint with URL-encoded SQL UNION statements to extract database information including usernames, database names, and MySQL version details.

INFO

Published Date :

March 21, 2026, 4:16 p.m.

Last Modified :

March 21, 2026, 4:16 p.m.

Remotely Exploit :

Yes !
Affected Products

The following products are affected by CVE-2019-25576 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

No affected product recoded yet

CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 HIGH 83251b91-4cc7-4094-a5c7-464a1b83ea10
CVSS 3.1 HIGH [email protected]
CVSS 4.0 HIGH 83251b91-4cc7-4094-a5c7-464a1b83ea10
CVSS 4.0 HIGH [email protected]
Solution
Sanitize all user inputs to prevent SQL injection attacks.
  • Validate and sanitize the 'category' parameter.
  • Use parameterized queries or prepared statements.
  • Avoid dynamic SQL queries.
  • Implement input validation and allowlisting.
References to Advisories, Solutions, and Tools

Here, you will find a curated list of external links that provide in-depth information, practical solutions, and valuable tools related to CVE-2019-25576.

URL Resource
https://codeclerks.com/PHP/1559/Kepler-Wallpaper-Script
https://keplerwallpapers.online/
https://www.exploit-db.com/exploits/46207
https://www.vulncheck.com/advisories/kepler-wallpaper-script-sql-injection-via-category
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2019-25576 is associated with the following CWEs:

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2019-25576 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2019-25576 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • New CVE Received by [email protected]

    Mar. 21, 2026

    Action Type Old Value New Value
    Added Description Kepler Wallpaper Script 1.1 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code into the category parameter. Attackers can send GET requests to the category endpoint with URL-encoded SQL UNION statements to extract database information including usernames, database names, and MySQL version details.
    Added CVSS V4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:L/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
    Added CVSS V3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N
    Added CWE CWE-89
    Added Reference https://codeclerks.com/PHP/1559/Kepler-Wallpaper-Script
    Added Reference https://keplerwallpapers.online/
    Added Reference https://www.exploit-db.com/exploits/46207
    Added Reference https://www.vulncheck.com/advisories/kepler-wallpaper-script-sql-injection-via-category
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.