CVE-2026-14733
Received Received - Intake

SQL Injection in Class and Exam Timetabling System

Vulnerability report for CVE-2026-14733, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-07-05

Last updated on: 2026-07-05

Assigner: VulDB

Description

A vulnerability was detected in SourceCodester Class and Exam Timetabling System 1.0. This issue affects some unknown processing of the file /edit_coursea.php. The manipulation of the argument ID results in sql injection. The attack may be launched remotely. The exploit is now public and may be used.

CVSS Scores

EPSS Scores

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Meta Information

Published
2026-07-05
Last Modified
2026-07-05
Generated
2026-07-05
AI Q&A
2026-07-05
EPSS Evaluated
N/A
NVD
EUVD

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-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.
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.

Attack-Flow Graph

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Detection Guidance

This SQL injection vulnerability in the /edit_coursea.php file can be detected by testing the 'id' parameter for SQL injection flaws using various payloads.

  • Use boolean-based blind SQL injection payloads to observe changes in the application's response.
  • Use error-based SQL injection payloads to trigger database errors revealing injection points.
  • Use time-based blind SQL injection payloads to detect delays caused by injected queries.
  • Use UNION query attacks to extract data by injecting UNION SELECT statements.

Commands can be executed using tools like sqlmap or manual curl requests with crafted payloads targeting the 'id' parameter in /edit_coursea.php.

Executive Summary

This vulnerability is a SQL injection issue found in the Class and Exam Timetabling System version 1.0, specifically in the /edit_coursea.php file. It occurs due to improper input validation of the 'id' parameter, which allows an attacker to inject malicious SQL queries remotely without needing authentication.

Attackers can exploit this flaw using various techniques such as boolean-based blind, error-based, time-based blind, and UNION query attacks to manipulate the database.

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, or disrupt services.

Mitigation Strategies

Immediate mitigation steps include:

  • Implement prepared statements with parameterized queries to prevent SQL injection.
  • Validate and sanitize all user inputs, especially the 'id' parameter in /edit_coursea.php.
  • Minimize database user permissions to limit the impact of a potential exploit.
  • Conduct regular security audits and code reviews to identify and fix vulnerabilities.
Compliance Impact

The SQL injection vulnerability in the Class and Exam Timetabling System allows unauthorized database access, data tampering, and sensitive information leakage. Such impacts can lead to violations of data protection regulations like GDPR and HIPAA, which require safeguarding personal and sensitive data against unauthorized access and breaches.

Failure to protect against this vulnerability may result in non-compliance with these standards due to potential exposure of personal data, lack of adequate security controls, and insufficient protection of data integrity and confidentiality.

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