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CVE Vulnerability Database
Vulnerability Database/CVE-2026-24494

CVE-2026-24494: Order Up Online Ordering SQLi Vulnerability

CVE-2026-24494 is an SQL injection flaw in Order Up Online Ordering System 1.0 that lets unauthenticated attackers access sensitive database data. This article covers technical details, affected versions, and mitigation.

Published: February 27, 2026

CVE-2026-24494 Overview

CVE-2026-24494 is a critical SQL Injection vulnerability affecting the /api/integrations/getintegrations endpoint in Order Up Online Ordering System 1.0. This vulnerability allows an unauthenticated attacker to access sensitive backend database data by crafting a malicious store_id parameter in a POST request. The flaw stems from improper input validation and sanitization of user-supplied data before it is used in SQL queries, enabling attackers to manipulate database operations.

Critical Impact

Unauthenticated attackers can exploit this SQL Injection vulnerability to extract sensitive data from the backend database, potentially exposing customer information, credentials, payment data, and other confidential business records without any authentication requirements.

Affected Products

  • Order Up Online Ordering System 1.0

Discovery Timeline

  • 2026-02-23 - CVE-2026-24494 published to NVD
  • 2026-02-23 - Last updated in NVD database

Technical Details for CVE-2026-24494

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) exists in the /api/integrations/getintegrations API endpoint of Order Up Online Ordering System. The vulnerability allows remote attackers to execute arbitrary SQL commands against the backend database without requiring authentication. The attack surface is significant as the vulnerable endpoint processes POST requests containing a store_id parameter that is directly incorporated into SQL queries without proper sanitization or parameterization.

The vulnerability is particularly dangerous because it requires no authentication, no user interaction, and can be exploited remotely over the network. Successful exploitation grants attackers the ability to read, modify, or delete data within the database, potentially leading to complete data breach scenarios.

Root Cause

The root cause of this vulnerability is improper input validation and the failure to use parameterized queries or prepared statements when handling the store_id parameter in POST requests to the /api/integrations/getintegrations endpoint. User-supplied input is directly concatenated into SQL query strings, allowing attackers to inject malicious SQL commands that are then executed by the database engine with the application's privileges.

Attack Vector

The attack vector is network-based, targeting the /api/integrations/getintegrations API endpoint. An attacker can exploit this vulnerability by sending a specially crafted POST request containing a malicious store_id parameter. The injected SQL payload is processed by the application without validation, allowing the attacker to manipulate the underlying SQL query.

Exploitation involves crafting a POST request to the vulnerable endpoint with a modified store_id parameter containing SQL injection payloads such as UNION-based queries to extract data, boolean-based blind injection techniques, or time-based blind injection methods. Since no authentication is required, any network-accessible attacker can target this endpoint. For detailed technical analysis of the injection techniques, refer to the SpartansSec SQL Injection Analysis.

Detection Methods for CVE-2026-24494

Indicators of Compromise

  • Unusual POST requests to /api/integrations/getintegrations endpoint containing SQL syntax characters such as single quotes, double dashes, or UNION keywords in the store_id parameter
  • Database error messages in application logs indicating malformed SQL queries or syntax errors
  • Unexpected database query patterns including time delays (indicative of time-based blind SQL injection) or unusually large result sets
  • Web server logs showing repeated requests to the vulnerable endpoint from a single IP address with varying payloads

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in POST request parameters targeting the /api/integrations/getintegrations endpoint
  • Deploy database activity monitoring to identify anomalous queries, unusual data access patterns, or queries containing injection signatures
  • Configure intrusion detection systems (IDS) with signatures for common SQL injection payloads and attack patterns
  • Review application logs for failed SQL query attempts, database connection errors, or authentication anomalies

Monitoring Recommendations

  • Enable detailed logging on the web application server to capture all POST requests to API endpoints, including full parameter values
  • Implement real-time alerting for requests containing SQL injection indicators such as UNION SELECT, OR 1=1, --, or SLEEP() functions
  • Monitor database server performance metrics for unusual query execution times that may indicate time-based blind SQL injection attempts
  • Establish baseline traffic patterns for the /api/integrations/getintegrations endpoint and alert on deviations

How to Mitigate CVE-2026-24494

Immediate Actions Required

  • Restrict network access to the /api/integrations/getintegrations endpoint using firewall rules or network segmentation until a patch is applied
  • Implement input validation at the web server or WAF level to block requests containing SQL injection patterns in the store_id parameter
  • Review database access logs for evidence of prior exploitation and assess potential data exposure
  • Consider temporarily disabling the vulnerable endpoint if it is not critical to business operations

Patch Information

No official vendor patch information is currently available for CVE-2026-24494. Organizations using Order Up Online Ordering System 1.0 should monitor vendor communications for security updates and consider implementing the workarounds below until a patch is released. For additional technical details, refer to the SpartansSec SQL Injection Analysis.

Workarounds

  • Deploy a Web Application Firewall (WAF) with SQL injection detection rules to filter malicious requests before they reach the application
  • Implement server-side input validation to whitelist acceptable characters and formats for the store_id parameter (numeric values only)
  • Restrict database user permissions to the minimum required privileges, limiting the impact of successful injection attacks
  • Place the vulnerable application behind an authentication layer or VPN to reduce the attack surface until patching is possible
bash
# Example WAF rule to block SQL injection patterns (ModSecurity format)
SecRule ARGS:store_id "@detectSQLi" \
    "id:100001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt blocked on store_id parameter'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechOrder Up Online Ordering System

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.05%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-89
  • Technical References
  • SpartansSec SQL Injection Analysis
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