CVE-2018-25196
Description
ServerZilla 1.0 contains an SQL injection vulnerability that allows unauthenticated attackers to manipulate database queries by injecting SQL code through the email parameter. Attackers can send POST requests to reset.php with malicious email values containing SQL operators to bypass authentication and extract sensitive database information.
AI Insight
LLM-synthesized narrative grounded in this CVE's description and references.
ServerZilla 1.0 is vulnerable to unauthenticated SQL injection via the email parameter in reset.php, allowing attackers to bypass authentication and extract sensitive database information.
Vulnerability
Overview
ServerZilla 1.0 contains a SQL injection vulnerability in the reset.php endpoint. The email parameter is not properly sanitized before being used in database queries, allowing an unauthenticated attacker to inject arbitrary SQL commands [1][2]. The root cause is the application's failure to neutralize special elements used in SQL commands, corresponding to CWE-89 [2].
Attack
Vector
An attacker can exploit this vulnerability by sending a crafted POST request to reset.php with a malicious email parameter containing SQL operators. The provided exploit demonstrates using URL-encoded payload such as %27%20%4f%52%20%4e%4f%54%20%31%3d%31%2d%2d%20%45%66%65 (which decodes to ' OR NOT 1=1-- Efe) to manipulate the database query [1]. No authentication is required, and the attack can be performed over the network with low complexity [2].
Impact
Successful exploitation allows an attacker to bypass authentication mechanisms and extract sensitive information from the database. The CVSS v4 score indicates a high impact on confidentiality (VC:H) and a low impact on integrity (VI:L) [2]. An attacker could potentially read arbitrary data from the application's database, including user credentials and other confidential records.
Mitigation
As of the publication date (2026-03-06), no patched version has been released for ServerZilla 1.0. The exploit has been publicly available since November 2018 [1]. Users should consider migrating to an alternative solution or implementing input validation and parameterized queries to mitigate the risk.
AI Insight generated on May 18, 2026. Synthesized from this CVE's description and the cited reference URLs; citations are validated against the source bundle.
Affected products
1- Range: = 1.0
Patches
0No patches discovered yet.
Vulnerability mechanics
AI mechanics synthesis has not run for this CVE yet.
References
2News mentions
0No linked articles in our index yet.