SentinelOne
CVE Vulnerability Database

CVE-2026-4533: Simple Food Ordering System SQLi Flaw

CVE-2026-4533 is a SQL injection vulnerability in Simple Food Ordering System 1.0 affecting the all-tickets.php file. Attackers can exploit this remotely to manipulate databases. This article covers technical details, impact, and mitigation.

Published:

CVE-2026-4533 Overview

A SQL Injection vulnerability has been identified in code-projects Simple Food Ordering System 1.0. The vulnerability exists within the all-tickets.php file, where the Status parameter is improperly handled, allowing attackers to inject malicious SQL queries. This vulnerability can be exploited remotely, and a public exploit is available.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to manipulate database queries, potentially leading to unauthorized data access, data modification, or complete database compromise.

Affected Products

  • code-projects Simple Food Ordering System 1.0
  • PHP-based food ordering implementations using vulnerable all-tickets.php component

Discovery Timeline

  • 2026-03-22 - CVE CVE-2026-4533 published to NVD
  • 2026-03-23 - Last updated in NVD database

Technical Details for CVE-2026-4533

Vulnerability Analysis

This vulnerability is classified under CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), commonly referred to as "Injection." The flaw resides in the all-tickets.php file within the Simple Food Ordering System application. When user-supplied input is passed through the Status parameter, the application fails to properly sanitize or validate this input before incorporating it into SQL queries.

The time-based blind SQL injection technique allows attackers to extract information from the database by observing response time differences when injecting conditional sleep statements. This attack method is particularly dangerous because it can bypass traditional security controls that only look for visible error messages or data exfiltration in responses.

Root Cause

The root cause of this vulnerability is the lack of proper input validation and sanitization for the Status parameter in all-tickets.php. The application directly incorporates user-controlled input into SQL queries without using prepared statements or parameterized queries, creating an injection point that attackers can exploit to execute arbitrary SQL commands against the underlying database.

Attack Vector

The attack can be launched remotely over the network. An authenticated attacker with low privileges can manipulate the Status parameter to inject malicious SQL payloads. The vulnerability follows a time-based blind injection pattern, where the attacker infers database information by measuring response delays caused by injected timing functions such as SLEEP() or BENCHMARK().

The vulnerability allows an attacker to craft requests to the all-tickets.php endpoint with malicious SQL statements embedded in the Status parameter. Since the application does not properly sanitize this input, the injected SQL is executed directly against the database. For technical details and a proof-of-concept, refer to the GitHub SQL Injection PoC.

Detection Methods for CVE-2026-4533

Indicators of Compromise

  • Unusual response time patterns from all-tickets.php indicating time-based SQL injection attempts
  • Web server access logs showing requests to all-tickets.php with suspicious Status parameter values containing SQL syntax such as SLEEP, WAITFOR, BENCHMARK, or single quotes
  • Database query logs revealing unexpected queries with timing functions or conditional statements
  • Multiple sequential requests from the same source with varying Status parameter values

Detection Strategies

  • Implement web application firewall (WAF) rules to detect and block SQL injection patterns in the Status parameter
  • Monitor application logs for requests containing SQL keywords and special characters in parameter values
  • Deploy database activity monitoring to identify anomalous queries or extended execution times
  • Use SentinelOne Singularity Platform to detect exploitation attempts through behavioral analysis

Monitoring Recommendations

  • Enable detailed logging for all requests to all-tickets.php and review for suspicious patterns
  • Set up alerts for database queries with unusually long execution times
  • Monitor for sequential requests with incrementally changing payloads, indicative of automated SQL injection tools
  • Implement network-level monitoring to detect known SQL injection attack signatures

How to Mitigate CVE-2026-4533

Immediate Actions Required

  • Remove or restrict access to the Simple Food Ordering System until a patch is applied
  • Implement web application firewall rules to block requests containing SQL injection patterns in the Status parameter
  • Review database access logs for evidence of prior exploitation attempts
  • Apply the principle of least privilege to database accounts used by the application

Patch Information

As of the last update on 2026-03-23, no official vendor patch has been released for this vulnerability. Organizations using the affected Simple Food Ordering System 1.0 should contact code-projects for remediation guidance or implement the workarounds below. Monitor the Code Projects Resource Hub for security updates.

Workarounds

  • Implement server-side input validation to sanitize the Status parameter before processing
  • Use prepared statements with parameterized queries to prevent SQL injection
  • Deploy a WAF rule specifically targeting the all-tickets.php endpoint to filter malicious input
  • Restrict network access to the application to trusted IP ranges only
  • Consider disabling the ticket functionality until a proper fix is implemented
bash
# Example Apache mod_rewrite rule to block suspicious Status parameter values
# Add to .htaccess or Apache configuration
RewriteEngine On
RewriteCond %{QUERY_STRING} Status=.*(SLEEP|WAITFOR|BENCHMARK|UNION|SELECT|DROP|INSERT|UPDATE|DELETE|--|;) [NC]
RewriteRule ^all-tickets\.php$ - [F,L]

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

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