Summary
A remotely exploitable SQL injection vulnerability affects the Forgot Password Handler in krupalshah EmployeeRecruitmentSystem. Manipulation of the fpemail parameter may allow an attacker to alter database queries, potentially exposing, modifying, or destroying stored data when the handler processes attacker-controlled input.
A remotely exploitable SQL injection vulnerability affects the Forgot Password Handler in krupalshah EmployeeRecruitmentSystem. Manipulation of the fpemail parameter may allow an attacker to alter database queries, potentially exposing, modifying, or destroying stored data when the handler processes attacker-controlled input.
Affected context
The issue occurs in the mysql_query usage within source/authprocessing.php, specifically in the Forgot Password Handler. It affects deployments of the unsupported EmployeeRecruitmentSystem codebase where the fpemail request parameter reaches database query construction without adequate separation between data and SQL syntax.
The issue occurs in the mysql_query usage within source/authprocessing.php, specifically in the Forgot Password Handler. It affects deployments of the unsupported EmployeeRecruitmentSystem codebase where the fpemail request parameter reaches database query construction without adequate separation between data and SQL syntax.
Exploit preconditions
- Attack surface: Publicly reachable Forgot Password Handler
- Required access: Network access to the application; authentication may not be required
- Trigger point: Processing of the
fpemailparameter during a password-recovery request - Why exploitation is possible: Attacker-controlled input may influence a database query when it is not safely parameterized or otherwise isolated from SQL syntax
- Attack surface: Publicly reachable Forgot Password Handler
- Required access: Network access to the application; authentication may not be required
- Trigger point: Processing of the
fpemailparameter during a password-recovery request - Why exploitation is possible: Attacker-controlled input may influence a database query when it is not safely parameterized or otherwise isolated from SQL syntax
Why this happens
The vulnerability results from constructing or executing a SQL query with insufficiently constrained external input. This behavior maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command, while CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component describes the broader injection pattern. The insecure design treats request data as part of a database command instead of preserving a strict boundary between values and query structure.
The vulnerability results from constructing or executing a SQL query with insufficiently constrained external input. This behavior maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command, while CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component describes the broader injection pattern. The insecure design treats request data as part of a database command instead of preserving a strict boundary between values and query structure.
Potential impact
- An attacker may retrieve sensitive database records
- An attacker could bypass intended application logic
- Database contents may be altered or deleted
- Account or password-recovery data may be exposed or manipulated
- The application could experience data integrity loss or service disruption
- An attacker may retrieve sensitive database records
- An attacker could bypass intended application logic
- Database contents may be altered or deleted
- Account or password-recovery data may be exposed or manipulated
- The application could experience data integrity loss or service disruption
General mitigation guidance
Mitigation generally focuses on eliminating the flow of untrusted request data into dynamically assembled SQL statements.
Common defensive patterns include:
- Using parameterized queries or prepared statements for all database operations
- Applying allowlist-based validation for email and account-recovery fields
- Avoiding string concatenation when constructing SQL commands
- Using database identities with the minimum permissions required by the application
- Separating error handling from database details so query failures do not disclose sensitive information
- Retiring unsupported components or isolating them behind compensating access controls where replacement is not immediately possible
Mitigation generally focuses on eliminating the flow of untrusted request data into dynamically assembled SQL statements.
Common defensive patterns include:
- Using parameterized queries or prepared statements for all database operations
- Applying allowlist-based validation for email and account-recovery fields
- Avoiding string concatenation when constructing SQL commands
- Using database identities with the minimum permissions required by the application
- Separating error handling from database details so query failures do not disclose sensitive information
- Retiring unsupported components or isolating them behind compensating access controls where replacement is not immediately possible
How teams detect issues like this
Detection can include static analysis for SQL APIs that receive concatenated or interpolated request parameters, especially calls involving mysql_query and password-recovery handlers. Code review should examine every path from HTTP parameters to database commands and verify that prepared statements are used consistently. Dynamic testing and application firewalls may identify suspicious query-manipulation attempts, while CI policy checks can block newly introduced raw SQL construction involving externally controlled values.
Detection can include static analysis for SQL APIs that receive concatenated or interpolated request parameters, especially calls involving mysql_query and password-recovery handlers. Code review should examine every path from HTTP parameters to database commands and verify that prepared statements are used consistently. Dynamic testing and application firewalls may identify suspicious query-manipulation attempts, while CI policy checks can block newly introduced raw SQL construction involving externally controlled values.
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
| vuldb. | vuldb.com/ |
