Skip to main content
CVE Vulnerability Database

CVE-2025-2854: Payroll Management System SQLi Vulnerability

CVE-2025-2854 is a critical SQL injection vulnerability in Fabian Payroll Management System 1.0 affecting update_employee.php. Attackers can remotely exploit the emp_type parameter. This article covers technical details, impact, and mitigation.

Published:

CVE-2025-2854 Overview

CVE-2025-2854 is a SQL injection vulnerability in code-projects Payroll Management System 1.0. The flaw resides in update_employee.php, where the emp_type parameter is concatenated into an SQL query without proper sanitization. Authenticated attackers can manipulate the parameter remotely to inject arbitrary SQL statements. The exploit has been publicly disclosed, and other parameters in the same file may also be affected. The vulnerability is classified under [CWE-74] (Improper Neutralization of Special Elements in Output Used by a Downstream Component).

Critical Impact

Remote attackers with low-privilege access can inject SQL statements through the emp_type parameter in update_employee.php, leading to unauthorized read and modification of payroll database records.

Affected Products

  • Fabian Payroll Management System 1.0
  • code-projects Payroll Management System (update_employee.php)
  • CPE: cpe:2.3:a:fabian:payroll_management_system:1.0:*:*:*:*:*:*:*

Discovery Timeline

  • 2025-03-27 - CVE-2025-2854 published to the National Vulnerability Database
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2025-2854

Vulnerability Analysis

The vulnerability exists in the employee update workflow of the Payroll Management System. The update_employee.php script accepts the emp_type parameter from an HTTP request and embeds it directly into a back-end SQL query. The application does not apply parameterized queries or input sanitization, allowing attacker-controlled SQL fragments to alter query logic. Exploitation requires only low-privilege authentication and no user interaction, and the attack is launched over the network. According to the EPSS dataset (0.443%, 35.22 percentile), opportunistic exploitation probability remains moderate, but a public proof of concept has been disclosed via GitHub CVE Analysis.

Root Cause

The root cause is improper neutralization of special characters in the emp_type request parameter before it is used in an SQL statement. The script trusts client-supplied input and concatenates it into the query string, violating safe database access practices. Additional parameters processed by update_employee.php may share the same insecure coding pattern.

Attack Vector

An authenticated attacker submits a crafted HTTP request to update_employee.php with a malicious payload in the emp_type parameter. Typical payloads use UNION-based, boolean-based, or time-based SQL injection techniques to enumerate database contents, extract employee records, or modify payroll data. Because the attack vector is network-based, exploitation does not require local access or user interaction.

No verified exploit code is published in trusted exploit databases. Technical details are referenced in VulDB #301501 Details and the GitHub CVE Analysis.

Detection Methods for CVE-2025-2854

Indicators of Compromise

  • HTTP POST or GET requests to update_employee.php containing SQL metacharacters such as ', --, UNION, SELECT, or SLEEP( in the emp_type parameter.
  • Unexpected database errors or stack traces logged when handling employee update operations.
  • Anomalous read or write activity against payroll tables originating from the web application service account.

Detection Strategies

  • Inspect web server access logs for malformed or encoded values supplied to emp_type and adjacent parameters in update_employee.php.
  • Deploy a web application firewall (WAF) rule set tuned for SQL injection signatures targeting PHP applications.
  • Enable verbose database query logging and alert on dynamically constructed statements referencing emp_type values containing SQL keywords.

Monitoring Recommendations

  • Monitor authentication logs for low-privilege accounts issuing repeated requests to update_employee.php.
  • Correlate database query patterns with HTTP request parameters to identify injection attempts in near real time.
  • Track outbound network connections from the database host to detect data exfiltration following successful injection.

How to Mitigate CVE-2025-2854

Immediate Actions Required

  • Restrict access to update_employee.php to trusted internal networks until a patched build is available.
  • Apply WAF rules that block SQL injection payloads against the emp_type parameter and other parameters used by the employee update workflow.
  • Rotate database credentials used by the application if exploitation is suspected, and audit payroll tables for unauthorized modifications.

Patch Information

No official vendor patch has been published in the references available at the time of analysis. Administrators should monitor the code-projects vendor site and the VulDB #301501 Citation entry for remediation updates. Until a fix is provided, replace dynamic SQL with parameterized prepared statements in update_employee.php and validate the emp_type field against an allowlist of expected values.

Workarounds

  • Implement server-side input validation that limits emp_type to a fixed set of permitted values (for example, numeric IDs or predefined role strings).
  • Refactor the affected query to use PDO or mysqli prepared statements with bound parameters, eliminating string concatenation.
  • Enforce least-privilege database accounts so the web application user cannot perform DROP, ALTER, or cross-database operations.
bash
# Example PHP refactor using prepared statements (PDO)
$stmt = $pdo->prepare('UPDATE employees SET emp_type = :emp_type WHERE id = :id');
$stmt->bindValue(':emp_type', $_POST['emp_type'], PDO::PARAM_STR);
$stmt->bindValue(':id', (int)$_POST['id'], PDO::PARAM_INT);
$stmt->execute();

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.