SQL Injection in Class and Exam Timetabling System

A vulnerability has been found in SourceCodester Class and Exam Timetabling System 1.0/1.php. The impacted element is an unknown function of the file /edit_course1.php. The manipulation of the argument ID leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.

Casky was already ahead

This CVE exploits attack patterns that Casky's 322matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

This vulnerability is a remote SQL injection flaw in SourceCodester's Class and Exam Timetabling System version 1.0, specifically within the /edit_course1.php file where the ID parameter is improperly sanitized. SQL injection attacks allow adversaries to manipulate database queries, potentially leading to unauthorized data access, modification, or deletion of sensitive information such as student records, grades, and course schedules. Educational institutions, training centers, and any organization using this timetabling system are at risk, particularly concerning the integrity and confidentiality of academic data. With a CVSS score of 7.3 and public disclosure, this poses a significant threat requiring immediate patching.

Casky's platform maps this vulnerability to MITRE ATT&CK techniques TA0001 (Initial Access) and TA0043 (Reconnaissance), enabling practitioners to detect attack patterns across their environment. When leveraging Claude AI with extended reasoning, Casky's 322 matched skills allow security teams to identify reconnaissance activity targeting the /edit_course1.php endpoint, detect suspicious parameter manipulation in ID fields, and recognize database query anomalies indicative of SQL injection attempts. Practitioners would observe findings highlighting: suspicious HTTP requests with SQL syntax in the ID parameter, unusual database connection patterns, attempts to enumerate database structure, and potential data exfiltration queries. This multi-layered detection approach helps organizations catch attackers in reconnaissance and initial access phases before successful exploitation occurs.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

322 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-14772.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

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abusing-dpapi-for-credential-access

red teaming · high

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abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-14772

Casky has 322 skills that investigate the attack patterns behind CVE-2026-14772. Run one and get CVSS-scored findings in 3 minutes.

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