Summary
A high-severity SQL injection vulnerability affects the User argument processed by the administrative login endpoint in itsourcecode Online Admission System Project 1.0. A remote attacker may manipulate database queries, potentially bypass authentication, access sensitive records, or alter stored data when the endpoint is reachable and input is not safely handled.
A high-severity SQL injection vulnerability affects the User argument processed by the administrative login endpoint in itsourcecode Online Admission System Project 1.0. A remote attacker may manipulate database queries, potentially bypass authentication, access sensitive records, or alter stored data when the endpoint is reachable and input is not safely handled.
Affected context
The vulnerability occurs in the administrative login functionality at /admin/login1.php, where the User argument is incorporated into database processing. Risk is present when the endpoint is remotely accessible and user-controlled input reaches a database query without effective parameterization or equivalent safeguards.
The vulnerability occurs in the administrative login functionality at /admin/login1.php, where the User argument is incorporated into database processing. Risk is present when the endpoint is remotely accessible and user-controlled input reaches a database query without effective parameterization or equivalent safeguards.
Exploit preconditions
- Attack surface: Remotely accessible administrative login endpoint
- Required access: Network access to the affected application; valid credentials may not be required
- Trigger point: Processing of the
Userargument by/admin/login1.php - Why exploitation is possible: Input may influence SQL query structure when it is not isolated from database commands through parameterized handling
- Attack surface: Remotely accessible administrative login endpoint
- Required access: Network access to the affected application; valid credentials may not be required
- Trigger point: Processing of the
Userargument by/admin/login1.php - Why exploitation is possible: Input may influence SQL query structure when it is not isolated from database commands through parameterized handling
Why this happens
The underlying bug is an injection flaw in which externally supplied input is treated as part of a SQL statement rather than as data. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and more broadly to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component. The insecure pattern is the construction or execution of database queries using untrusted values without reliable parameter binding and contextual validation.
The underlying bug is an injection flaw in which externally supplied input is treated as part of a SQL statement rather than as data. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and more broadly to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component. The insecure pattern is the construction or execution of database queries using untrusted values without reliable parameter binding and contextual validation.
Potential impact
- An attacker may bypass administrative authentication
- Unauthorized database records could be read
- Application or admission data could be modified or deleted
- Database integrity and service availability could be affected
- Exposed records could create privacy or compliance risks
- An attacker may bypass administrative authentication
- Unauthorized database records could be read
- Application or admission data could be modified or deleted
- Database integrity and service availability could be affected
- Exposed records could create privacy or compliance risks
General mitigation guidance
Mitigation generally focuses on ensuring that untrusted input cannot alter SQL statement structure.
Common defensive patterns include:
- Using parameterized queries or prepared statements for all database operations
- Applying allowlist-based validation appropriate to the expected user identifier format
- Avoiding dynamic query construction and database-specific string concatenation
- Separating database accounts by function and granting only required privileges
- Returning generic authentication errors and limiting diagnostic details
- Enforcing layered access controls around administrative endpoints
These measures reduce reliance on input filtering alone and limit potential damage if another control fails.
Mitigation generally focuses on ensuring that untrusted input cannot alter SQL statement structure.
Common defensive patterns include:
- Using parameterized queries or prepared statements for all database operations
- Applying allowlist-based validation appropriate to the expected user identifier format
- Avoiding dynamic query construction and database-specific string concatenation
- Separating database accounts by function and granting only required privileges
- Returning generic authentication errors and limiting diagnostic details
- Enforcing layered access controls around administrative endpoints
These measures reduce reliance on input filtering alone and limit potential damage if another control fails.
How teams detect issues like this
Organizations commonly detect SQL injection risks through:
- Static analysis rules identifying string concatenation or interpolation in database queries
- Code review checks for unparameterized query APIs in authentication handlers
- Dynamic application testing that submits unexpected input to identify query behavior changes
- Web application firewall or API gateway policies for suspicious database-oriented request patterns
- Database monitoring for anomalous query errors, unusual authentication activity, or unexpected access patterns
Automated security review tools can help identify unsafe query construction during development, but findings should be validated against application behavior.
Organizations commonly detect SQL injection risks through:
- Static analysis rules identifying string concatenation or interpolation in database queries
- Code review checks for unparameterized query APIs in authentication handlers
- Dynamic application testing that submits unexpected input to identify query behavior changes
- Web application firewall or API gateway policies for suspicious database-oriented request patterns
- Database monitoring for anomalous query errors, unusual authentication activity, or unexpected access patterns
Automated security review tools can help identify unsafe query construction during development, but findings should be validated against application behavior.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| itsourcecode. | itsourcecode.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
