CVE-2026-13566
Received Received - Intake

SQL Injection in Class and Exam Timetabling System

Publication date: 2026-06-29

Last updated on: 2026-06-29

Assigner: VulDB

Description
A vulnerability was identified in SourceCodester Class and Exam Timetabling System 1.0. Affected by this issue is some unknown functionality of the file /preview3.php. The manipulation of the argument course_year_section leads to sql injection. The attack may be initiated remotely. The exploit is publicly available and might be used.

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Meta Information

Published
2026-06-29
Last Modified
2026-06-29
Generated
2026-06-29
AI Q&A
2026-06-29
EPSS Evaluated
N/A
NVD
CVE-2026-13566
EUVD
EUVD-2026-40077

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
sourcecodester class_and_exam_timetabling_system 1.0

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-89 The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
CWE-74 The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.

Attack-Flow Graph

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Executive Summary

The CVE-2026-13566 vulnerability affects the Class and Exam Timetabling System Project V1.0, specifically the `/preview3.php` file.

It is caused by a SQL injection flaw due to improper input validation of the `course_year_section` parameter, which allows attackers to inject malicious SQL queries remotely without requiring authentication.

Attackers can exploit this vulnerability using various SQL injection techniques such as boolean-based blind, error-based, time-based blind, and UNION query attacks.

Impact Analysis

Exploitation of this vulnerability can lead to unauthorized access to the database, allowing attackers to tamper with data, leak sensitive information, gain control over the system, and disrupt services.

Detection Guidance

The vulnerability in /preview3.php involves SQL injection via the course_year_section parameter, which can be tested by sending crafted HTTP requests to the affected endpoint.

Detection can be performed by attempting to inject typical SQL payloads into the course_year_section parameter and observing the response for SQL errors or unexpected behavior.

  • Use curl or similar tools to send requests with SQL injection payloads, for example: curl -G 'http://target/preview3.php' --data-urlencode 'course_year_section=1' OR '1'='1'
  • Look for error messages or differences in response times that indicate SQL injection, such as boolean-based or time-based blind SQLi.
  • Use automated vulnerability scanners or SQL injection testing tools targeting the course_year_section parameter on /preview3.php.
Mitigation Strategies

Immediate mitigation steps include applying strict input validation and sanitization on the course_year_section parameter to prevent malicious SQL code injection.

Use prepared statements or parameterized queries in the code handling the /preview3.php file to avoid direct concatenation of user input into SQL queries.

Minimize database user permissions to limit the impact of a potential SQL injection attack.

Conduct regular security audits and code reviews to identify and fix similar vulnerabilities.

Compliance Impact

The SQL injection vulnerability in the Class and Exam Timetabling System allows attackers to gain unauthorized access to the database, potentially leading to sensitive information leakage and data tampering.

Such unauthorized access and data breaches can result in non-compliance with common standards and regulations like GDPR and HIPAA, which mandate the protection of personal and sensitive data.

Failure to protect data adequately due to this vulnerability could lead to legal and regulatory consequences under these frameworks.

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