Summary
CASAP Automated Enrollment System 1.0 contains a SQL injection flaw in update_class.php via the class_name parameter, allowing direct manipulation of backend database queries.
When user-supplied class name values are concatenated into SQL without proper validation or parameterization, an attacker can tamper with queries, potentially exfiltrating or modifying sensitive enrollment data.
CASAP Automated Enrollment System 1.0 contains a SQL injection flaw in update_class.php via the class_name parameter, allowing direct manipulation of backend database queries.
When user-supplied class name values are concatenated into SQL without proper validation or parameterization, an attacker can tamper with queries, potentially exfiltrating or modifying sensitive enrollment data.
Affected context
This vulnerability appears in the web-based enrollment workflow where class information is updated through update_class.php.
It typically arises when the application accepts class_name values from HTTP requests, trusts them as-is, and embeds them into SQL statements executed by the database.
The issue is most relevant in deployments where the enrollment system is exposed to untrusted users over a network, and database accounts used by the application have broad read/write privileges.
This vulnerability appears in the web-based enrollment workflow where class information is updated through update_class.php.
It typically arises when the application accepts class_name values from HTTP requests, trusts them as-is, and embeds them into SQL statements executed by the database.
The issue is most relevant in deployments where the enrollment system is exposed to untrusted users over a network, and database accounts used by the application have broad read/write privileges.
Exploit preconditions
- Attack surface: HTTP request to update_class.php (e.g., form submission or crafted URL).
- Required access: Ability to send requests to the CASAP Automated Enrollment System; no special privileges are needed if the vulnerable endpoint is publicly reachable or reachable after basic authentication.
- Trigger point: Submission of a malicious class_name value that is incorporated into a SQL statement without proper escaping or parameterization.
- Why exploitation is possible: The server constructs SQL queries by concatenating raw user input from class_name into the query text, bypassing robust input validation and prepared statements, enabling attackers to alter query logic.
- Attack surface: HTTP request to update_class.php (e.g., form submission or crafted URL).
- Required access: Ability to send requests to the CASAP Automated Enrollment System; no special privileges are needed if the vulnerable endpoint is publicly reachable or reachable after basic authentication.
- Trigger point: Submission of a malicious class_name value that is incorporated into a SQL statement without proper escaping or parameterization.
- Why exploitation is possible: The server constructs SQL queries by concatenating raw user input from class_name into the query text, bypassing robust input validation and prepared statements, enabling attackers to alter query logic.
Why this happens
The root cause is insecure construction of SQL statements using dynamic string concatenation with untrusted input, aligning with CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection').
Instead of using parameterized queries or ORM-level binding, the code handling update_class.php directly embeds the class_name parameter into SQL, allowing injection of control characters and query fragments.
This pattern treats user input as part of executable SQL logic, violating separation between data and commands and making the database interpreter process attacker-supplied instructions.
The root cause is insecure construction of SQL statements using dynamic string concatenation with untrusted input, aligning with CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection').
Instead of using parameterized queries or ORM-level binding, the code handling update_class.php directly embeds the class_name parameter into SQL, allowing injection of control characters and query fragments.
This pattern treats user input as part of executable SQL logic, violating separation between data and commands and making the database interpreter process attacker-supplied instructions.
Potential impact
- An attacker may read sensitive student and enrollment records stored in the database.
- An attacker could modify or delete class information and related enrollment data, disrupting school operations.
- An attacker can create arbitrary records, leading to data integrity issues and fraudulent entries.
- Depending on database privileges, an attacker may escalate impact to full database takeover or access to adjacent applications sharing the same database.
- An attacker may read sensitive student and enrollment records stored in the database.
- An attacker could modify or delete class information and related enrollment data, disrupting school operations.
- An attacker can create arbitrary records, leading to data integrity issues and fraudulent entries.
- Depending on database privileges, an attacker may escalate impact to full database takeover or access to adjacent applications sharing the same database.
General mitigation guidance
Effective mitigation generally focuses on enforcing a strict boundary between user input and SQL execution.
Common defensive patterns include:
- Using parameterized queries or prepared statements for all database interactions, ensuring user input is treated strictly as data.
- Applying centralized input validation and normalization for fields like class_name, restricting them to expected character sets and lengths.
- Employing an ORM or database abstraction layer that defaults to safe query construction and discourages raw SQL building.
- Configuring database accounts with least privilege, so even if an injection attempt succeeds, its ability to modify or read data is limited.
- Adopting secure coding guidelines that explicitly prohibit dynamic SQL concatenation from user-supplied data.
Effective mitigation generally focuses on enforcing a strict boundary between user input and SQL execution.
Common defensive patterns include:
- Using parameterized queries or prepared statements for all database interactions, ensuring user input is treated strictly as data.
- Applying centralized input validation and normalization for fields like class_name, restricting them to expected character sets and lengths.
- Employing an ORM or database abstraction layer that defaults to safe query construction and discourages raw SQL building.
- Configuring database accounts with least privilege, so even if an injection attempt succeeds, its ability to modify or read data is limited.
- Adopting secure coding guidelines that explicitly prohibit dynamic SQL concatenation from user-supplied data.
How teams detect issues like this
Detection usually combines code-level analysis with runtime monitoring:
- Static analysis rules can flag dynamic SQL strings built from HTTP parameters such as class_name, especially in files like update_class.php.
- Manual code review should look for direct concatenation of request variables into SQL and absence of parameter binding or escaping routines.
- Development and QA environments can use automated security testing or fuzzing tools to probe endpoints for injectable parameters and anomalous database responses.
- Logging and monitoring of database queries may reveal suspicious patterns, such as unexpected statement fragments or syntax errors caused by malformed input.
Detection usually combines code-level analysis with runtime monitoring:
- Static analysis rules can flag dynamic SQL strings built from HTTP parameters such as class_name, especially in files like update_class.php.
- Manual code review should look for direct concatenation of request variables into SQL and absence of parameter binding or escaping routines.
- Development and QA environments can use automated security testing or fuzzing tools to probe endpoints for injectable parameters and anomalous database responses.
- Logging and monitoring of database queries may reveal suspicious patterns, such as unexpected statement fragments or syntax errors caused by malformed input.
