Summary
A SQL injection vulnerability in the Online Reviewer Management System allows remote input to influence a database query through the Subject parameter.
If the vulnerable assessment update endpoint is reachable and does not safely handle user-controlled input, an attacker may read, alter, or otherwise affect database contents.
A SQL injection vulnerability in the Online Reviewer Management System allows remote input to influence a database query through the Subject parameter.
If the vulnerable assessment update endpoint is reachable and does not safely handle user-controlled input, an attacker may read, alter, or otherwise affect database contents.
Affected context
The vulnerability occurs in SourceCodester Online Reviewer Management System 1.0, within the assessment subject update functionality at reviewer_0/admins/assessments/Subject/btn_functions.php?action=update. Risk depends on whether the endpoint is remotely reachable, whether the Subject parameter reaches database operations without effective separation from SQL syntax, and what database privileges the application uses.
The vulnerability occurs in SourceCodester Online Reviewer Management System 1.0, within the assessment subject update functionality at reviewer_0/admins/assessments/Subject/btn_functions.php?action=update. Risk depends on whether the endpoint is remotely reachable, whether the Subject parameter reaches database operations without effective separation from SQL syntax, and what database privileges the application uses.
Exploit preconditions
- Attack surface: Remote web application request to the assessment subject update endpoint
- Required access: Access sufficient to submit requests to the affected functionality; authentication requirements depend on deployment configuration
- Trigger point: Processing of the
Subjectargument during an assessment subject update - Why exploitation is possible: User-controlled input may be incorporated into a database query without reliable parameterization or equivalent query separation
- Attack surface: Remote web application request to the assessment subject update endpoint
- Required access: Access sufficient to submit requests to the affected functionality; authentication requirements depend on deployment configuration
- Trigger point: Processing of the
Subjectargument during an assessment subject update - Why exploitation is possible: User-controlled input may be incorporated into a database query without reliable parameterization or equivalent query separation
Why this happens
The underlying issue is an injection flaw in which externally controlled input is treated as part of a database command rather than as data. This behavior maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and is also related to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component. The insecure pattern typically involves dynamically constructing SQL statements from request parameters without using parameterized queries or another trusted data-access abstraction.
The underlying issue is an injection flaw in which externally controlled input is treated as part of a database command rather than as data. This behavior maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection) and is also related to CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component. The insecure pattern typically involves dynamically constructing SQL statements from request parameters without using parameterized queries or another trusted data-access abstraction.
Potential impact
- An attacker may retrieve sensitive database records
- Database contents could be modified, deleted, or corrupted
- Application authentication or authorization data could be affected
- Confidentiality, integrity, and availability of the reviewer system may be reduced
- The database account's privileges could enable access to additional application data
- An attacker may retrieve sensitive database records
- Database contents could be modified, deleted, or corrupted
- Application authentication or authorization data could be affected
- Confidentiality, integrity, and availability of the reviewer system may be reduced
- The database account's privileges could enable access to additional application data
General mitigation guidance
Mitigation generally focuses on ensuring that request data remains data throughout database processing.
Common defensive patterns include:
- Use parameterized queries, prepared statements, or trusted ORM query interfaces
- Apply allowlisted validation for subject values according to their expected format and length
- Avoid dynamically concatenating request parameters into SQL statements
- Use a database account with only the minimum permissions required by the application
- Keep administrative endpoints behind appropriate authentication and authorization controls
- Return generic database errors so internal query details are not exposed
- Treat client-side validation as supplementary rather than as a security boundary
Mitigation generally focuses on ensuring that request data remains data throughout database processing.
Common defensive patterns include:
- Use parameterized queries, prepared statements, or trusted ORM query interfaces
- Apply allowlisted validation for subject values according to their expected format and length
- Avoid dynamically concatenating request parameters into SQL statements
- Use a database account with only the minimum permissions required by the application
- Keep administrative endpoints behind appropriate authentication and authorization controls
- Return generic database errors so internal query details are not exposed
- Treat client-side validation as supplementary rather than as a security boundary
How teams detect issues like this
Organizations can identify SQL injection risks through:
- Static analysis rules that flag string concatenation or interpolation in SQL construction
- Code review checks for request parameters passed directly to database APIs
- Dynamic testing of reachable endpoints using controlled, non-destructive input variations
- Database and application logs showing malformed queries, unexpected operators, or anomalous access patterns
- Policy enforcement requiring parameterized queries and approved data-access libraries
- Automated security review tools integrated into development and pull-request workflows
Organizations can identify SQL injection risks through:
- Static analysis rules that flag string concatenation or interpolation in SQL construction
- Code review checks for request parameters passed directly to database APIs
- Dynamic testing of reachable endpoints using controlled, non-destructive input variations
- Database and application logs showing malformed queries, unexpected operators, or anomalous access patterns
- Policy enforcement requiring parameterized queries and approved data-access libraries
- Automated security review tools integrated into development and pull-request workflows
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| sourcecodester. | sourcecodester.com/ |
