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CVE Vulnerability Database
Vulnerability Database/CVE-2026-2943

CVE-2026-2943: Student Management System XSS Vulnerability

CVE-2026-2943 is a cross-site scripting flaw in SapneshNaik Student Management System affecting the index.php file. Attackers can exploit this remotely to inject malicious scripts. This article covers technical details, impact, and mitigation.

Published: February 27, 2026

CVE-2026-2943 Overview

A Cross-Site Scripting (XSS) vulnerability has been identified in the SapneshNaik Student Management System, affecting versions up to commit f4b4f0928f0b5551a28ee81ae7e7fe47d9345318. The vulnerability exists in the index.php file where improper handling of the Error parameter allows attackers to inject malicious scripts that execute in the context of a victim's browser session.

Critical Impact

This reflected XSS vulnerability enables remote attackers to inject arbitrary JavaScript code through the Error parameter, potentially leading to session hijacking, credential theft, or malicious actions performed on behalf of authenticated users.

Affected Products

  • SapneshNaik Student Management System (up to commit f4b4f0928f0b5551a28ee81ae7e7fe47d9345318)
  • This product does not use versioning - specific version ranges cannot be determined

Discovery Timeline

  • 2026-02-22 - CVE-2026-2943 published to NVD
  • 2026-02-23 - Last updated in NVD database

Technical Details for CVE-2026-2943

Vulnerability Analysis

This vulnerability is classified as CWE-79 (Improper Neutralization of Input During Web Page Generation), commonly known as Cross-Site Scripting. The flaw resides in the index.php file of the Student Management System where user-supplied input via the Error parameter is reflected back to the user without proper sanitization or encoding.

When a victim visits a maliciously crafted URL containing JavaScript payload in the Error parameter, the application fails to properly escape or validate this input before rendering it in the HTML response. This allows the attacker's script to execute within the security context of the vulnerable application, giving access to session cookies, DOM manipulation capabilities, and the ability to perform actions as the authenticated user.

The exploit has been publicly disclosed, increasing the risk of exploitation in the wild. The vendor was contacted regarding this vulnerability but did not respond, leaving users without an official patch.

Root Cause

The root cause of this vulnerability is the absence of proper input validation and output encoding on the Error parameter in index.php. The application directly incorporates user-supplied data into the HTML output without implementing security controls such as HTML entity encoding, Content Security Policy headers, or input sanitization filters. This programming oversight allows malicious content to be interpreted as executable code by the victim's browser.

Attack Vector

The attack is executed remotely via a network-based vector requiring user interaction. An attacker crafts a malicious URL containing JavaScript code within the Error parameter and delivers it to potential victims through phishing emails, social engineering, or by embedding the link in other web pages. When an unsuspecting user clicks the link, the malicious script executes in their browser within the context of the Student Management System application.

The exploitation mechanism involves manipulating the Error parameter in index.php to inject client-side scripts. Technical details and proof-of-concept information are available in the GitHub XSS Analysis repository. The attack requires no authentication and can be launched against any user accessing the vulnerable application.

Detection Methods for CVE-2026-2943

Indicators of Compromise

  • Suspicious URL requests to index.php containing encoded or unencoded script tags in the Error parameter
  • HTTP access logs showing requests with JavaScript keywords such as <script>, javascript:, onerror=, or onload= in query strings
  • Reports from users of unexpected browser behavior or pop-up alerts when accessing the application
  • Web Application Firewall alerts for XSS pattern matches targeting the affected endpoint

Detection Strategies

  • Deploy Web Application Firewall (WAF) rules to detect and block common XSS payloads in the Error parameter
  • Implement Content Security Policy (CSP) headers to restrict inline script execution and detect policy violations
  • Monitor HTTP access logs for requests containing encoded script patterns (%3Cscript%3E, %22onmouseover%3D, etc.)
  • Utilize browser-based XSS auditor logging where available to identify attempted exploitation

Monitoring Recommendations

  • Configure SIEM alerts for patterns matching XSS exploitation attempts against index.php
  • Enable verbose logging on web servers to capture full query string parameters for forensic analysis
  • Monitor for unusual session activity that may indicate successful XSS-based session hijacking
  • Review referrer headers in logs to identify potential delivery vectors for malicious links

How to Mitigate CVE-2026-2943

Immediate Actions Required

  • Implement output encoding for all user-supplied input, particularly the Error parameter in index.php
  • Deploy a Web Application Firewall with XSS protection rules as an interim measure
  • Add Content Security Policy headers to restrict inline script execution
  • Consider restricting access to the Student Management System until proper remediation is implemented

Patch Information

No official patch is currently available from the vendor. The vendor was contacted about this disclosure but did not respond. Users should monitor the VulDB entry #347313 for updates and consider implementing the workarounds below. The vulnerability affects the codebase up to commit f4b4f0928f0b5551a28ee81ae7e7fe47d9345318.

Workarounds

  • Implement server-side input validation to reject requests containing script tags or JavaScript event handlers in the Error parameter
  • Apply HTML entity encoding to the Error parameter output using functions like htmlspecialchars() in PHP
  • Deploy a reverse proxy or WAF with XSS filtering capabilities in front of the application
  • Restrict access to the application to trusted networks only until a permanent fix is available
bash
# Example Apache mod_security rule to block XSS attempts
SecRule ARGS:Error "@detectXSS" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'XSS Attack Detected in Error Parameter',\
    severity:'CRITICAL'"

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

  • Vulnerability Details
  • TypeXSS

  • Vendor/TechSapneshnaik Student Management System

  • SeverityMEDIUM

  • CVSS Score5.3

  • EPSS Probability0.03%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:P/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
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityLow
  • AvailabilityNone
  • CWE References
  • CWE-79
  • Technical References
  • GitHub XSS Analysis

  • VulDB CTI #347313

  • VulDB #347313

  • VulDB Submit #754035
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