CVE-2026-11334 Overview
CVE-2026-11334 is a SQL injection vulnerability in the tittuvarghese CollegeManagementSystem, an open-source PHP-based application distributed through GitHub. The flaw resides in the dashboard_page/forms/fetch.php script, where the department_code request parameter is concatenated into a SQL query without proper sanitization. Remote attackers can manipulate this argument to inject arbitrary SQL statements against the backend database. The project uses continuous delivery with rolling releases, so no fixed version is enumerated. A public exploit description is available, and the maintainer was notified through a GitHub issue but has not yet responded.
Critical Impact
Unauthenticated remote attackers can manipulate the department_code parameter to execute arbitrary SQL queries, leading to data disclosure, modification, or deletion.
Affected Products
- tittuvarghese CollegeManagementSystem (commit 3e476335cfbfb9a049e09f474c7ec885f69a9df3)
- tittuvarghese CollegeManagementSystem (commit a38852979f7e27ae67b610dce5979500ef8ebe01)
- Rolling release distribution — no fixed version available
Discovery Timeline
- 2026-06-05 - CVE-2026-11334 published to the National Vulnerability Database (NVD)
- 2026-06-05 - Last updated in NVD database
Technical Details for CVE-2026-11334
Vulnerability Analysis
The vulnerability is classified under [CWE-74] (Improper Neutralization of Special Elements in Output Used by a Downstream Component) and represents a classic SQL injection condition. The script dashboard_page/forms/fetch.php accepts the department_code parameter from a remote client and passes the value directly into a SQL statement. Because the input is not parameterized or escaped, an attacker can break out of the intended query context and append additional SQL syntax.
Exploitation requires no authentication and no user interaction. The attack vector is network-reachable, meaning any client able to send HTTP requests to the application can attempt injection. Successful exploitation impacts confidentiality, integrity, and availability of database content, though to a limited scope according to the published CVSS 4.0 metrics.
Root Cause
The root cause is the absence of prepared statements or input validation when processing the department_code argument. The PHP code constructs a dynamic SQL query by string concatenation, allowing injected metacharacters such as ', --, and UNION to alter query semantics.
Attack Vector
An unauthenticated attacker sends a crafted HTTP request to the vulnerable fetch.php endpoint with a malicious payload supplied in the department_code parameter. Typical payloads use boolean-based, union-based, or time-based techniques to enumerate tables, extract records, or modify data. Because the exploit details are public, automated scanners and opportunistic attackers can readily reproduce the attack.
No verified proof-of-concept code is included here. See the VulDB CVE-2026-11334 entry and the GitHub Issue Tracker #3 for technical details.
Detection Methods for CVE-2026-11334
Indicators of Compromise
- HTTP requests to dashboard_page/forms/fetch.php containing SQL metacharacters such as ', ", --, ;, UNION, or SLEEP( in the department_code parameter.
- Unexpected database errors or anomalously long response times originating from fetch.php.
- Unusual outbound data volumes from the database server following requests to the vulnerable endpoint.
Detection Strategies
- Inspect web server access logs for requests targeting fetch.php with non-alphanumeric values in department_code.
- Enable database query logging and alert on syntactically malformed or unusually complex statements referencing department-related tables.
- Deploy a Web Application Firewall (WAF) rule set that flags SQL injection signatures on the application path.
Monitoring Recommendations
- Continuously monitor authentication and database audit logs for indications of unauthorized data reads or schema enumeration (information_schema queries).
- Correlate web request anomalies with downstream database activity to identify injection chains in near real time.
- Track repeated 500-class HTTP responses from fetch.php, which can indicate failed injection probing.
How to Mitigate CVE-2026-11334
Immediate Actions Required
- Restrict network exposure of the CollegeManagementSystem application to trusted networks until a fix is available.
- Place the dashboard_page/forms/fetch.php endpoint behind a WAF with active SQL injection signatures.
- Rotate database credentials and review database user privileges to enforce least privilege.
Patch Information
No official patch has been released. The project uses continuous delivery with rolling releases, and the maintainer has not responded to the GitHub Issue Tracker #3 report. Administrators should monitor the GitHub Project Repository for upstream changes and apply local code fixes as needed.
Workarounds
- Modify fetch.php locally to use parameterized queries (PDO prepared statements or mysqli_prepare) for the department_code argument.
- Add server-side input validation that restricts department_code to an expected character set, such as alphanumeric values of fixed length.
- Disable or remove the vulnerable endpoint if it is not required for production operation.
# Example PHP code change: replace string concatenation with a prepared statement
# Vulnerable pattern (do not use):
# $sql = "SELECT * FROM departments WHERE code = '" . $_POST['department_code'] . "'";
#
# Recommended pattern using PDO:
$stmt = $pdo->prepare('SELECT * FROM departments WHERE code = :code');
$stmt->bindParam(':code', $_POST['department_code'], PDO::PARAM_STR);
$stmt->execute();
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

