CVE-2026-13526
Received Received - Intake

SQL Injection in Class and Exam Timetabling System

Vulnerability report for CVE-2026-13526, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-06-29

Last updated on: 2026-06-29

Assigner: VulDB

Description

A flaw has been found in SourceCodester Class and Exam Timetabling System 1.0. Impacted is an unknown function of the file /edit_class.php. This manipulation of the argument ID causes sql injection. The attack may be initiated remotely. The exploit has been published and may be used.

CVSS Scores

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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
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-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

This vulnerability is a SQL injection flaw found in the Class and Exam Timetabling System version 1.0, specifically in the /edit_class.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.

The injection can be exploited using various techniques such as boolean-based blind, error-based, time-based blind, and UNION query attacks.

Impact Analysis

Exploiting this vulnerability can lead to unauthorized access to the database, allowing attackers to tamper with data, leak sensitive information, and potentially compromise the entire system.

Detection Guidance

This SQL injection vulnerability in the /edit_class.php file can be detected by testing the 'id' parameter for SQL injection flaws. Common methods include using boolean-based blind, error-based, time-based blind, and UNION query injection techniques.

You can use tools like sqlmap or manual curl commands to test the vulnerability. For example, sending crafted requests to the 'id' parameter and observing the response behavior can help detect the issue.

  • Using sqlmap: sqlmap -u "http://targetsite/edit_class.php?id=1" --batch --dbs
  • Manual test with curl (error-based): curl "http://targetsite/edit_class.php?id=1'" -v
  • Manual test with time-based injection: curl "http://targetsite/edit_class.php?id=1 AND SLEEP(5)" -v (observe delay)
Mitigation Strategies

Immediate mitigation steps include implementing prepared statements and proper input validation on the 'id' parameter to prevent SQL injection.

Additionally, minimize database permissions to restrict what the application can do, and conduct regular security audits to identify and fix vulnerabilities.

Compliance Impact

This SQL injection vulnerability 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, potentially causing legal and financial consequences due to compromised confidentiality, integrity, and availability of protected data.

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