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CVE Vulnerability Database
Vulnerability Database/CVE-2020-37154

CVE-2020-37154: eLection 2.0 SQL Injection Vulnerability

CVE-2020-37154 is an authenticated SQL injection flaw in eLection 2.0's candidate management endpoint that enables database manipulation and potential RCE. This article covers technical details, exploitation risks, and mitigation.

Published: February 13, 2026

CVE-2020-37154 Overview

CVE-2020-37154 is an authenticated SQL injection vulnerability affecting eLection 2.0, an open-source election management system. The vulnerability exists in the candidate management endpoint and allows authenticated attackers to manipulate database queries through the id parameter. This SQL injection flaw can be escalated to remote code execution (RCE) by leveraging database functionality to upload backdoor files to the web application directory.

Critical Impact

Authenticated attackers can exploit this SQL injection vulnerability to extract sensitive election data, modify database contents, and achieve remote code execution on the underlying server through file upload capabilities.

Affected Products

  • eLection 2.0 by TriPath
  • eLection web application (all installations without mitigations)
  • Self-hosted eLection instances

Discovery Timeline

  • 2026-02-07 - CVE-2020-37154 published to NVD
  • 2026-02-09 - Last updated in NVD database

Technical Details for CVE-2020-37154

Vulnerability Analysis

This vulnerability is classified as CWE-89 (SQL Injection), which occurs when user-controllable input is incorporated into database queries without proper sanitization. In eLection 2.0, the candidate management endpoint fails to properly validate or parameterize the id parameter before including it in SQL queries.

The attack requires authentication, meaning an attacker must first obtain valid credentials to access the vulnerable endpoint. However, once authenticated, the SQL injection allows complete database compromise and can be escalated to server-level access through database-native file write capabilities.

The exploitation chain documented in public resources demonstrates how tools like SQLMap can automate the extraction of database contents and leverage MySQL's INTO OUTFILE functionality to write PHP backdoor files directly to the web root, achieving remote code execution.

Root Cause

The root cause of this vulnerability is improper input validation in the candidate management functionality. The application directly concatenates user-supplied input from the id parameter into SQL queries without using prepared statements or parameterized queries. This allows attackers to break out of the intended query structure and inject arbitrary SQL commands.

Attack Vector

The attack vector is network-based, requiring authenticated access to the eLection 2.0 web interface. An attacker with valid credentials can access the candidate management endpoint and manipulate the id parameter to inject malicious SQL statements.

The exploitation process typically involves:

  1. Authenticating to the eLection application with valid credentials
  2. Navigating to the candidate management endpoint
  3. Injecting SQL payloads through the id parameter
  4. Using SQLMap or manual techniques to extract data or escalate privileges
  5. Leveraging MySQL file write capabilities to upload a PHP webshell
  6. Executing arbitrary commands through the uploaded backdoor

Technical details and exploitation methodology are documented in the GitHub SQLi to RCE Guide and Exploit-DB #48122.

Detection Methods for CVE-2020-37154

Indicators of Compromise

  • Unusual SQL error messages in application logs or web server logs
  • Presence of unexpected PHP files in the web application directory
  • Database query logs showing SQLMap user-agent strings or injection patterns
  • Unauthorized file creation events in web root directories

Detection Strategies

  • Monitor web application firewall (WAF) logs for SQL injection patterns targeting the candidate management endpoint
  • Implement database activity monitoring to detect unusual queries containing UNION SELECT, INTO OUTFILE, or other injection indicators
  • Deploy file integrity monitoring on the web application directory to detect unauthorized file uploads
  • Review authentication logs for suspicious login patterns followed by exploitation attempts

Monitoring Recommendations

  • Enable detailed logging for the eLection application and database server
  • Configure alerts for SQL error patterns and injection attempt signatures
  • Implement real-time monitoring of web root directories for new file creation
  • Establish baseline database query patterns to identify anomalous activity

How to Mitigate CVE-2020-37154

Immediate Actions Required

  • Restrict network access to the eLection application to trusted users only
  • Implement a web application firewall (WAF) with SQL injection protection rules
  • Review and audit all user accounts with access to the candidate management functionality
  • Consider taking the application offline if it cannot be adequately protected

Patch Information

No official vendor patch information is available in the CVE data. Organizations using eLection 2.0 should check the SourceForge Project Page for any available updates or consider migrating to a more actively maintained election management solution.

For additional vulnerability details, consult the VulnCheck SQL Injection Advisory.

Workarounds

  • Deploy a web application firewall configured to block SQL injection patterns on all application endpoints
  • Implement network segmentation to limit access to the eLection application server
  • Disable MySQL file write privileges (FILE privilege) for the database user account used by the application
  • Apply input validation at the web server level using ModSecurity or similar tools to filter the id parameter
bash
# Example ModSecurity rule to block SQL injection in id parameter
SecRule ARGS:id "@detectSQLi" \
    "id:1001,\
    phase:2,\
    block,\
    msg:'SQL Injection Attempt Detected in id parameter',\
    log,\
    severity:'CRITICAL'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechElection

  • SeverityHIGH

  • CVSS Score7.1

  • EPSS Probability0.07%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/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
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-89
  • Technical References
  • GitHub SQLi to RCE Guide

  • SourceForge Project Page

  • Exploit-DB #48122

  • VulnCheck SQL Injection Advisory
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