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CVE-2025-67407

Severity:

HIGH RISK

(7.3)

SQL Injection (CWE-89) in CASAP Enrollment update_student

CVE-2025-67407

Deferred

Vulnerability type

Category:

SQL Injection

CWE:

CWE-89

Impact:

Database Compromise and Data Manipulation

Severity:

HIGH RISK

(7.3)

CVSS version:

3.1

Catch this CVE while code is being written

Detect vulnerable code directly in pull requests, so CVEs are fixed before merge.

Summary

A SQL injection flaw in the CASAP Automated Enrollment System allows attacker-controlled values in the fname and student_class parameters of update_student.php to be inserted directly into SQL queries.

When user input is not properly validated or parameterized, an attacker can manipulate database operations, potentially accessing, altering, or deleting student enrollment records.

A SQL injection flaw in the CASAP Automated Enrollment System allows attacker-controlled values in the fname and student_class parameters of update_student.php to be inserted directly into SQL queries.

When user input is not properly validated or parameterized, an attacker can manipulate database operations, potentially accessing, altering, or deleting student enrollment records.

Affected context

This vulnerability occurs in the web-based enrollment workflow where student records are updated via update_student.php.

It typically manifests when the application builds SQL statements using string concatenation with untrusted HTTP parameters such as fname and student_class, without parameter binding or robust input validation.

Deployments that expose this script to authenticated or public users and rely on a shared database backend are particularly susceptible to unintended data access or modification.

This vulnerability occurs in the web-based enrollment workflow where student records are updated via update_student.php.

It typically manifests when the application builds SQL statements using string concatenation with untrusted HTTP parameters such as fname and student_class, without parameter binding or robust input validation.

Deployments that expose this script to authenticated or public users and rely on a shared database backend are particularly susceptible to unintended data access or modification.

Exploit preconditions

  • Attack surface: HTTP requests targeting update_student.php in the CASAP Automated Enrollment System.
  • Required access: Ability to submit crafted requests containing fname and student_class values (often via a web form or direct POST/GET).
  • Trigger point: Execution of dynamically constructed SQL queries that include these parameters without using prepared statements.
  • Why exploitation is possible: The application directly interpolates user input into SQL, allowing an attacker to alter query structure instead of just data values.
  • Attack surface: HTTP requests targeting update_student.php in the CASAP Automated Enrollment System.
  • Required access: Ability to submit crafted requests containing fname and student_class values (often via a web form or direct POST/GET).
  • Trigger point: Execution of dynamically constructed SQL queries that include these parameters without using prepared statements.
  • Why exploitation is possible: The application directly interpolates user input into SQL, allowing an attacker to alter query structure instead of just data values.

Why this happens

The underlying bug class is classic SQL injection as described by CWE-89.

The application constructs SQL commands by concatenating raw user input from fname and student_class into query strings, rather than using parameterized queries or an ORM that separates data from command logic.

Without strict validation or escaping, the database engine interprets embedded control characters and operators as part of the query, enabling attackers to inject additional conditions, UNIONs, or statements and thereby change the intended behavior of the database operation.

The underlying bug class is classic SQL injection as described by CWE-89.

The application constructs SQL commands by concatenating raw user input from fname and student_class into query strings, rather than using parameterized queries or an ORM that separates data from command logic.

Without strict validation or escaping, the database engine interprets embedded control characters and operators as part of the query, enabling attackers to inject additional conditions, UNIONs, or statements and thereby change the intended behavior of the database operation.

Potential impact

  • Attackers may read sensitive student and enrollment records beyond their authorization scope.
  • Attackers could modify or delete student data, leading to corrupted or lost enrollment information.
  • Attackers can create or escalate user accounts stored in the database, impacting authentication and authorization.
  • The database integrity can be compromised, affecting reporting, billing, and academic records.
  • In certain configurations, attackers might leverage SQL injection to pivot toward underlying system compromise.
  • Attackers may read sensitive student and enrollment records beyond their authorization scope.
  • Attackers could modify or delete student data, leading to corrupted or lost enrollment information.
  • Attackers can create or escalate user accounts stored in the database, impacting authentication and authorization.
  • The database integrity can be compromised, affecting reporting, billing, and academic records.
  • In certain configurations, attackers might leverage SQL injection to pivot toward underlying system compromise.

General mitigation guidance

Effective mitigation centers on ensuring that user input is never treated as part of SQL command structure.

Common defensive patterns include:

  • Using prepared statements or parameterized queries for all database operations, especially updates of student records.
  • Adopting an ORM or query builder that enforces separation between query templates and parameter values by design.
  • Implementing strict server-side validation and normalization for fields like fname and student_class, limiting them to expected formats and character sets.
  • Applying least-privilege principles to database accounts so application users can only perform necessary operations on enrollment tables.
  • Designing the application so that dynamic query construction is minimized, and any residual dynamic logic is carefully constrained.

Effective mitigation centers on ensuring that user input is never treated as part of SQL command structure.

Common defensive patterns include:

  • Using prepared statements or parameterized queries for all database operations, especially updates of student records.
  • Adopting an ORM or query builder that enforces separation between query templates and parameter values by design.
  • Implementing strict server-side validation and normalization for fields like fname and student_class, limiting them to expected formats and character sets.
  • Applying least-privilege principles to database accounts so application users can only perform necessary operations on enrollment tables.
  • Designing the application so that dynamic query construction is minimized, and any residual dynamic logic is carefully constrained.

How teams detect issues like this

Organizations can detect SQL injection risks through a combination of static and dynamic approaches:

  • Static analysis rules that flag string concatenation patterns in SQL construction, especially in PHP files handling user input.
  • Code review checklists that require verification of prepared statements usage for all CRUD operations on student data.
  • Centralized database access policies that prohibit ad-hoc query building patterns in application code.
  • Runtime protections such as web application firewalls configured with SQL injection signatures to detect and block suspicious payloads.
  • Automated security testing, including DAST tools, that probe parameters like fname and student_class for injection behavior.

Organizations can detect SQL injection risks through a combination of static and dynamic approaches:

  • Static analysis rules that flag string concatenation patterns in SQL construction, especially in PHP files handling user input.
  • Code review checklists that require verification of prepared statements usage for all CRUD operations on student data.
  • Centralized database access policies that prohibit ad-hoc query building patterns in application code.
  • Runtime protections such as web application firewalls configured with SQL injection signatures to detect and block suspicious payloads.
  • Automated security testing, including DAST tools, that probe parameters like fname and student_class for injection behavior.

Sources

SourceLink
github.comgithub.com/um-dsp/TaintRadar/blob/main/sql_injection_cves/automated/20250811-casap-automated-enrollment-system-update_student.php-fname-sqli/20250811-casap-automated-enrollment-system-update_student.php-fname-sqli.md

Frequently asked

questions

It is typically exploitable by any user who can reach the update_student.php endpoint and control the fname or student_class parameters, which may include authenticated students or, in some deployments, unauthenticated users.

The attacker generally needs only the ability to send HTTP requests to the vulnerable script. If the enrollment system requires login to update students, basic credentials may be sufficient to reach the vulnerable code path.

Refactor the affected code to use parameterized queries or an ORM for all database interactions, ensuring that user input is passed as data parameters, never concatenated into SQL strings. Combine this with strict validation of the fname and student_class fields.

Establish development standards mandating prepared statements, conduct regular secure code reviews focusing on data access layers, and integrate static analysis or security scanning tools into CI pipelines to automatically flag dangerous SQL construction patterns.

It is typically exploitable by any user who can reach the update_student.php endpoint and control the fname or student_class parameters, which may include authenticated students or, in some deployments, unauthenticated users.

The attacker generally needs only the ability to send HTTP requests to the vulnerable script. If the enrollment system requires login to update students, basic credentials may be sufficient to reach the vulnerable code path.

Refactor the affected code to use parameterized queries or an ORM for all database interactions, ensuring that user input is passed as data parameters, never concatenated into SQL strings. Combine this with strict validation of the fname and student_class fields.

Establish development standards mandating prepared statements, conduct regular secure code reviews focusing on data access layers, and integrate static analysis or security scanning tools into CI pipelines to automatically flag dangerous SQL construction patterns.

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