CVE-2026-15135 Overview
CVE-2026-15135 is a SQL injection vulnerability in code-projects Online Food Order System 1.0. The flaw resides in the /edit_food_items.php script, where the update parameter is passed to a database query without proper sanitization. Attackers can manipulate this argument remotely to inject arbitrary SQL statements. The exploit has been publicly released, increasing the risk of opportunistic attacks against exposed installations. The vulnerability is classified under [CWE-74] (Improper Neutralization of Special Elements in Output Used by a Downstream Component).
Critical Impact
Remote attackers can inject arbitrary SQL through the update parameter in /edit_food_items.php, potentially exposing or modifying restaurant order data without authentication.
Affected Products
- code-projects Online Food Order System 1.0
- /edit_food_items.php component
- Deployments using the vulnerable update parameter handler
Discovery Timeline
- 2026-07-09 - CVE-2026-15135 published to NVD
- 2026-07-09 - Last updated in NVD database
Technical Details for CVE-2026-15135
Vulnerability Analysis
The vulnerability exists in the /edit_food_items.php file within the Online Food Order System 1.0 application. The update request parameter is concatenated directly into a SQL statement without parameterized queries or input validation. This allows an unauthenticated remote attacker to alter the query structure and inject arbitrary SQL logic. Successful exploitation can lead to unauthorized reading, modification, or deletion of records in the underlying database.
Because the application is a PHP-based web system typically deployed with MySQL, attackers can leverage UNION-based, error-based, or time-based injection techniques. Public disclosure of the exploit lowers the barrier for automated scanning and mass exploitation attempts against exposed instances.
Root Cause
The root cause is improper neutralization of user-supplied input. The update parameter is passed from the HTTP request directly into a SQL query string, without using prepared statements, parameter binding, or input escaping. This pattern is consistent with [CWE-74] weaknesses and is common in educational or small-scale PHP projects that lack an established security review process.
Attack Vector
Exploitation occurs over the network with no authentication or user interaction required. An attacker submits a crafted HTTP request to /edit_food_items.php with a malicious value in the update parameter. The manipulated payload is embedded into the backend SQL query and executed by the database engine. Because the application is intended for internet-facing deployment, attackers can locate targets through routine reconnaissance and web application fingerprinting.
The vulnerability mechanism involves unsanitized concatenation of the update HTTP parameter into a SQL query executed by the edit_food_items.php endpoint. Refer to the VulDB CVE-2026-15135 entry and the GitHub CVE Issue Tracker for additional technical detail on the injection point.
Detection Methods for CVE-2026-15135
Indicators of Compromise
- HTTP requests targeting /edit_food_items.php containing SQL metacharacters such as ', --, UNION, SELECT, or SLEEP() in the update parameter.
- Unusual database error messages in web server logs referencing edit_food_items.php.
- Outbound database traffic spikes or long-running queries originating from the web application's database user.
- Unexpected modifications to food item records or administrative tables in the application database.
Detection Strategies
- Deploy web application firewall (WAF) rules that inspect requests to /edit_food_items.php for SQL injection payloads in the update parameter.
- Enable database query logging and alert on syntactically anomalous queries originating from the Online Food Order System's database account.
- Correlate web access logs with database audit logs to detect parameter tampering followed by unexpected query execution.
Monitoring Recommendations
- Monitor authentication and session activity for administrative actions that follow suspicious HTTP requests to the affected endpoint.
- Track error rates and response time anomalies on /edit_food_items.php, which can indicate time-based or error-based injection attempts.
- Retain web and database logs for forensic review, and baseline normal parameter values for the update field.
How to Mitigate CVE-2026-15135
Immediate Actions Required
- Restrict access to /edit_food_items.php to trusted administrative networks or via authenticated VPN until a patch is available.
- Deploy WAF signatures that block SQL injection payloads in the update parameter.
- Review database accounts used by the application and enforce least privilege on tables accessible from the web tier.
- Audit application and database logs for evidence of prior exploitation attempts.
Patch Information
No official vendor patch has been referenced in the enriched data at the time of publication. Administrators should monitor the Code Projects Resource Hub and the GitHub CVE Issue Tracker for remediation updates. In the interim, replace vulnerable SQL construction with parameterized queries using PHP's PDO or MySQLi prepared statements.
Workarounds
- Modify edit_food_items.php to use prepared statements with bound parameters for the update value, eliminating direct string concatenation.
- Apply strict server-side input validation, allowing only expected data types and lengths for the update parameter.
- Remove or gate the affected endpoint behind authentication and CSRF protections if the deployment does not require public access.
- Isolate the application in a segmented network zone with limited database privileges to constrain the blast radius of a successful injection.
# Example WAF rule concept (ModSecurity) to block SQLi payloads on the affected endpoint
SecRule REQUEST_URI "@contains /edit_food_items.php" \
"chain,phase:2,deny,status:403,id:1015135,msg:'Possible SQLi on edit_food_items.php update parameter'"
SecRule ARGS:update "@rx (?i)(union(\s|/\*.*\*/)+select|sleep\s*\(|--|;|')" "t:none,t:urlDecodeUni"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

