Summary
A remotely reachable SQL injection flaw in the Employee-Movement-Tracking-and-Monitoring-Website-for-IOCL affects the Username input handled by /admin_transaction.php. If the application incorporates that input into database queries without safe parameterization, an attacker may be able to read, alter, or interfere with stored data.
A remotely reachable SQL injection flaw in the Employee-Movement-Tracking-and-Monitoring-Website-for-IOCL affects the Username input handled by /admin_transaction.php. If the application incorporates that input into database queries without safe parameterization, an attacker may be able to read, alter, or interfere with stored data.
Affected context
The vulnerability occurs in deployments of the affected IOCL employee tracking website where /admin_transaction.php processes the Username argument through a database query. Risk is present when attacker-controlled request data reaches SQL construction without effective parameter binding, input handling, or authorization controls. The issue is remotely reachable, although the precise authentication requirements may depend on the deployment.
The vulnerability occurs in deployments of the affected IOCL employee tracking website where /admin_transaction.php processes the Username argument through a database query. Risk is present when attacker-controlled request data reaches SQL construction without effective parameter binding, input handling, or authorization controls. The issue is remotely reachable, although the precise authentication requirements may depend on the deployment.
Exploit preconditions
- Attack surface: The remotely accessible
/admin_transaction.phpendpoint - Required access: Network access to the endpoint; authentication requirements are deployment-dependent
- Trigger point: Processing of the
Usernameargument - Why exploitation is possible: User-controlled input may be incorporated into a database query without sufficient separation between data and SQL commands
- Attack surface: The remotely accessible
/admin_transaction.phpendpoint - Required access: Network access to the endpoint; authentication requirements are deployment-dependent
- Trigger point: Processing of the
Usernameargument - Why exploitation is possible: User-controlled input may be incorporated into a database query without sufficient separation between data and SQL commands
Why this happens
The underlying bug is an SQL injection condition in which externally supplied input is treated as part of a database command rather than strictly as data. This commonly results from string concatenation or unsafe query construction, and maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command. CWE-74 is also related because the broader issue involves insufficient neutralization of special elements in an interpreted command language.
The underlying bug is an SQL injection condition in which externally supplied input is treated as part of a database command rather than strictly as data. This commonly results from string concatenation or unsafe query construction, and maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command. CWE-74 is also related because the broader issue involves insufficient neutralization of special elements in an interpreted command language.
Potential impact
- An attacker may read sensitive records from the application's database.
- An attacker could modify, delete, or corrupt employee and transaction data.
- The flaw may enable bypass of application-level data restrictions.
- Database availability could be affected through disruptive queries.
- Exposed credentials or connected services could increase the scope of compromise.
- An attacker may read sensitive records from the application's database.
- An attacker could modify, delete, or corrupt employee and transaction data.
- The flaw may enable bypass of application-level data restrictions.
- Database availability could be affected through disruptive queries.
- Exposed credentials or connected services could increase the scope of compromise.
General mitigation guidance
Mitigation generally focuses on ensuring that database commands remain separate from user-controlled data.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation.
- Avoid dynamically concatenating request parameters into SQL statements.
- Apply allowlist-based validation for fields with a constrained format, such as usernames.
- Enforce authorization checks independently of input validation.
- Use database accounts with only the permissions required by the application.
- Return generic database errors and avoid exposing query details to clients.
- Treat validation as a supplementary control rather than a replacement for parameter binding.
Mitigation generally focuses on ensuring that database commands remain separate from user-controlled data.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation.
- Avoid dynamically concatenating request parameters into SQL statements.
- Apply allowlist-based validation for fields with a constrained format, such as usernames.
- Enforce authorization checks independently of input validation.
- Use database accounts with only the permissions required by the application.
- Return generic database errors and avoid exposing query details to clients.
- Treat validation as a supplementary control rather than a replacement for parameter binding.
How teams detect issues like this
Organizations can look for this weakness through:
- Static analysis rules that identify SQL construction involving request parameters.
- Code review checks for string concatenation, interpolation, or formatting used in database queries.
- Dynamic application testing of reachable parameters using controlled, non-destructive inputs.
- Web application firewall or gateway policies that identify suspicious database-language patterns while recognizing that filtering is not a primary fix.
- Database monitoring for unusual query shapes, error spikes, unexpected access patterns, or unauthorized data changes.
- Automated code review tools that flag unparameterized database APIs and missing authorization checks.
Organizations can look for this weakness through:
- Static analysis rules that identify SQL construction involving request parameters.
- Code review checks for string concatenation, interpolation, or formatting used in database queries.
- Dynamic application testing of reachable parameters using controlled, non-destructive inputs.
- Web application firewall or gateway policies that identify suspicious database-language patterns while recognizing that filtering is not a primary fix.
- Database monitoring for unusual query shapes, error spikes, unexpected access patterns, or unauthorized data changes.
- Automated code review tools that flag unparameterized database APIs and missing authorization checks.
