Summary
A SQL injection vulnerability in the Criminal-Management-System search functionality allows crafted search input to alter database queries. Because the affected endpoint can be reached remotely, an attacker may access, modify, or interfere with database-backed application data when input is incorporated into queries without adequate protection.
A SQL injection vulnerability in the Criminal-Management-System search functionality allows crafted search input to alter database queries. Because the affected endpoint can be reached remotely, an attacker may access, modify, or interfere with database-backed application data when input is incorporated into queries without adequate protection.
Affected context
The issue occurs in the search.php functionality of vraj404 Criminal-Management-System, specifically where the Search argument is processed. Deployments may be exposed when this parameter reaches database query construction without reliable separation between user-supplied data and SQL syntax.
The issue occurs in the search.php functionality of vraj404 Criminal-Management-System, specifically where the Search argument is processed. Deployments may be exposed when this parameter reaches database query construction without reliable separation between user-supplied data and SQL syntax.
Exploit preconditions
- Attack surface: The remotely reachable search functionality in
search.php - Required access: Network access to the application endpoint; authentication requirements may depend on deployment configuration
- Trigger point: Processing of the
Searchrequest argument - Why exploitation is possible: Untrusted input may be incorporated into SQL statements without parameterization or equivalent query-boundary enforcement
- Attack surface: The remotely reachable search functionality in
search.php - Required access: Network access to the application endpoint; authentication requirements may depend on deployment configuration
- Trigger point: Processing of the
Searchrequest argument - Why exploitation is possible: Untrusted input may be incorporated into SQL statements without parameterization or equivalent query-boundary enforcement
Why this happens
The underlying bug is an input-handling failure in which externally supplied search data can influence the structure of a database query. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection'). The broader CWE-74 classification reflects improper neutralization when input is allowed to alter the intended interpretation of a downstream command or query.
The underlying bug is an input-handling failure in which externally supplied search data can influence the structure of a database query. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection'). The broader CWE-74 classification reflects improper neutralization when input is allowed to alter the intended interpretation of a downstream command or query.
Potential impact
- An attacker may retrieve unauthorized database records
- Database contents could be modified, deleted, or corrupted
- Authentication or authorization data may be exposed or altered
- Application availability could be affected through resource-intensive queries
- Sensitive information could be disclosed to an unauthorized remote user
- An attacker may retrieve unauthorized database records
- Database contents could be modified, deleted, or corrupted
- Authentication or authorization data may be exposed or altered
- Application availability could be affected through resource-intensive queries
- Sensitive information could be disclosed to an unauthorized remote user
General mitigation guidance
Mitigation generally focuses on ensuring that search input remains data rather than executable query syntax.
Common defensive patterns include:
- Using parameterized queries or prepared statements for all database operations
- Applying narrowly defined server-side validation appropriate to search fields
- Avoiding dynamic SQL construction from request values
- Limiting the database account to only the permissions required by the application
- Separating database errors from responses returned to users
- Protecting administrative and search endpoints with appropriate authentication and authorization controls
- Reducing trust in client-provided input and applying consistent controls across all query paths
Mitigation generally focuses on ensuring that search input remains data rather than executable query syntax.
Common defensive patterns include:
- Using parameterized queries or prepared statements for all database operations
- Applying narrowly defined server-side validation appropriate to search fields
- Avoiding dynamic SQL construction from request values
- Limiting the database account to only the permissions required by the application
- Separating database errors from responses returned to users
- Protecting administrative and search endpoints with appropriate authentication and authorization controls
- Reducing trust in client-provided input and applying consistent controls across all query paths
How teams detect issues like this
Organizations commonly detect SQL injection risks through:
- Static analysis rules that identify string concatenation or interpolation in database queries
- Code review checks for request parameters passed directly into query-building logic
- Dynamic testing of search and filter parameters using safe, non-destructive security test cases
- Database monitoring for anomalous query patterns, unexpected errors, and unusual data-access volume
- Policy enforcement requiring prepared statements or approved data-access abstractions
- Automated security review tools that flag unsanitized input reaching SQL execution APIs
Organizations commonly detect SQL injection risks through:
- Static analysis rules that identify string concatenation or interpolation in database queries
- Code review checks for request parameters passed directly into query-building logic
- Dynamic testing of search and filter parameters using safe, non-destructive security test cases
- Database monitoring for anomalous query patterns, unexpected errors, and unusual data-access volume
- Policy enforcement requiring prepared statements or approved data-access abstractions
- Automated security review tools that flag unsanitized input reaching SQL execution APIs
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
