Summary
A SQL injection flaw in the Class and Exam Timetabling System allows crafted input in the course_year_section parameter of /preview.php to alter backend database queries.
When user-supplied data is concatenated into SQL statements without proper sanitization or binding, attackers may remotely extract, modify, or destroy application data.
A SQL injection flaw in the Class and Exam Timetabling System allows crafted input in the course_year_section parameter of /preview.php to alter backend database queries.
When user-supplied data is concatenated into SQL statements without proper sanitization or binding, attackers may remotely extract, modify, or destroy application data.
Affected context
The vulnerability appears in the web-based Class and Exam Timetabling System when the /preview.php endpoint processes the course_year_section argument as part of a database query.
It typically exists in deployments where user input flows directly into SQL statements without parameterization, and where the application trusts request parameters coming from browsers or other clients.
The issue is more impactful on instances exposed to the internet or shared networks, especially when the connected database stores sensitive academic or personal records.
The vulnerability appears in the web-based Class and Exam Timetabling System when the /preview.php endpoint processes the course_year_section argument as part of a database query.
It typically exists in deployments where user input flows directly into SQL statements without parameterization, and where the application trusts request parameters coming from browsers or other clients.
The issue is more impactful on instances exposed to the internet or shared networks, especially when the connected database stores sensitive academic or personal records.
Exploit preconditions
- Attack surface: HTTP requests targeting the
/preview.phpendpoint of the timetabling system. - Required access: Ability to send crafted requests to the application (usually unauthenticated or low-privilege web access).
- Trigger point: Server-side handling of the
course_year_sectionparameter when building SQL queries for previewing class or exam data. - Why exploitation is possible: The application appears to concatenate request parameters into SQL query strings without using prepared statements or robust input validation, enabling injection of additional SQL operators and clauses.
- Attack surface: HTTP requests targeting the
/preview.phpendpoint of the timetabling system. - Required access: Ability to send crafted requests to the application (usually unauthenticated or low-privilege web access).
- Trigger point: Server-side handling of the
course_year_sectionparameter when building SQL queries for previewing class or exam data. - Why exploitation is possible: The application appears to concatenate request parameters into SQL query strings without using prepared statements or robust input validation, enabling injection of additional SQL operators and clauses.
Why this happens
This issue stems from dynamically constructing SQL queries using untrusted request parameters, aligning with CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection).
The course_year_section argument is likely interpolated directly into query text, allowing special characters such as quotes, comment markers, or logical operators to change the intended query structure.
More broadly, it reflects a failure to separate data from control in database access layers: user input is treated as part of the command rather than as bound parameters.
This issue stems from dynamically constructing SQL queries using untrusted request parameters, aligning with CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection).
The course_year_section argument is likely interpolated directly into query text, allowing special characters such as quotes, comment markers, or logical operators to change the intended query structure.
More broadly, it reflects a failure to separate data from control in database access layers: user input is treated as part of the command rather than as bound parameters.
Potential impact
- Attackers may read or enumerate timetable-related database records that they should not access.
- Malicious users could modify or delete class and exam schedules, disrupting institutional operations.
- The database contents could be manipulated to insert fraudulent records or corrupt existing data.
- Depending on schema and permissions, attackers might pivot to other tables storing user or administrative information.
- In some environments, SQL injection could be chained into further compromise, such as credential harvesting or privilege escalation within the application.
- Attackers may read or enumerate timetable-related database records that they should not access.
- Malicious users could modify or delete class and exam schedules, disrupting institutional operations.
- The database contents could be manipulated to insert fraudulent records or corrupt existing data.
- Depending on schema and permissions, attackers might pivot to other tables storing user or administrative information.
- In some environments, SQL injection could be chained into further compromise, such as credential harvesting or privilege escalation within the application.
General mitigation guidance
Effective mitigation focuses on ensuring that user input can never alter the structure of SQL commands.
Common defensive patterns include:
- Using parameterized queries or prepared statements in all database interactions, treating input strictly as data values.
- Centralizing data access in an abstraction layer that enforces safe query construction and discourages ad hoc string concatenation.
- Applying strict server-side validation for parameters such as
course_year_section, limiting values to expected formats (e.g., specific codes, numeric IDs). - Adopting least-privilege database accounts so that even if a query is abused, the scope of possible operations is constrained.
- Designing the application to default to non-sensitive query paths and avoiding dynamic query generation where possible.
Effective mitigation focuses on ensuring that user input can never alter the structure of SQL commands.
Common defensive patterns include:
- Using parameterized queries or prepared statements in all database interactions, treating input strictly as data values.
- Centralizing data access in an abstraction layer that enforces safe query construction and discourages ad hoc string concatenation.
- Applying strict server-side validation for parameters such as
course_year_section, limiting values to expected formats (e.g., specific codes, numeric IDs). - Adopting least-privilege database accounts so that even if a query is abused, the scope of possible operations is constrained.
- Designing the application to default to non-sensitive query paths and avoiding dynamic query generation where possible.
How teams detect issues like this
Organizations can detect and manage SQL injection exposure through several practices:
- Static analysis rules that flag string-built SQL queries and direct concatenation of request parameters into query text.
- Code review checklists that require verification of prepared statements and validation for all externally sourced input.
- Central logging of database errors and anomalous query patterns, such as unexpected use of comment markers or tautological conditions.
- Runtime protections like web application firewalls configured with policies to detect common SQL injection payload shapes.
- Automated security testing, including dynamic application security tests (DAST), to exercise input fields like
course_year_sectionand uncover injection behavior.
Organizations can detect and manage SQL injection exposure through several practices:
- Static analysis rules that flag string-built SQL queries and direct concatenation of request parameters into query text.
- Code review checklists that require verification of prepared statements and validation for all externally sourced input.
- Central logging of database errors and anomalous query patterns, such as unexpected use of comment markers or tautological conditions.
- Runtime protections like web application firewalls configured with policies to detect common SQL injection payload shapes.
- Automated security testing, including dynamic application security tests (DAST), to exercise input fields like
course_year_sectionand uncover injection behavior.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| sourcecodester. | sourcecodester.com/ |
