Summary
A critical SQL injection vulnerability in the CRM SOFTTRADE Infotech 1.0 login page may allow a remote attacker to manipulate database queries through crafted input. Depending on database privileges and application behavior, successful exploitation could bypass authentication, expose or alter data, and potentially enable arbitrary code execution.
A critical SQL injection vulnerability in the CRM SOFTTRADE Infotech 1.0 login page may allow a remote attacker to manipulate database queries through crafted input. Depending on database privileges and application behavior, successful exploitation could bypass authentication, expose or alter data, and potentially enable arbitrary code execution.
Affected context
The vulnerability occurs in the CRM SOFTTRADE Infotech 1.0 login page when user-controlled authentication input is incorporated into database queries without adequate parameterization or equivalent safeguards. It becomes risky when the login endpoint is remotely reachable and attacker-supplied values are processed by a database account with excessive privileges.
The vulnerability occurs in the CRM SOFTTRADE Infotech 1.0 login page when user-controlled authentication input is incorporated into database queries without adequate parameterization or equivalent safeguards. It becomes risky when the login endpoint is remotely reachable and attacker-supplied values are processed by a database account with excessive privileges.
Exploit preconditions
- Attack surface: The remotely accessible CRM login page
- Required access: Network access to the login endpoint; valid credentials may not be required
- Trigger point: Processing of attacker-controlled login input
- Why exploitation is possible: Input may be interpreted as part of a database query rather than strictly as data
- Additional conditions: The impact may increase if the application database account or database server has excessive privileges
- Attack surface: The remotely accessible CRM login page
- Required access: Network access to the login endpoint; valid credentials may not be required
- Trigger point: Processing of attacker-controlled login input
- Why exploitation is possible: Input may be interpreted as part of a database query rather than strictly as data
- Additional conditions: The impact may increase if the application database account or database server has excessive privileges
Why this happens
The underlying bug is an insufficient separation between SQL code and user-supplied data in the login workflow. When authentication inputs are concatenated into dynamic SQL statements or otherwise insufficiently constrained, an attacker may influence query logic, which maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection'). If the database or application environment exposes privileged functionality, this weakness may extend beyond data access to broader system compromise.
The underlying bug is an insufficient separation between SQL code and user-supplied data in the login workflow. When authentication inputs are concatenated into dynamic SQL statements or otherwise insufficiently constrained, an attacker may influence query logic, which maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection'). If the database or application environment exposes privileged functionality, this weakness may extend beyond data access to broader system compromise.
Potential impact
- An attacker may bypass authentication
- Sensitive database records could be disclosed
- Application data could be modified or deleted
- Database credentials or configuration details could be exposed
- Server-side code execution could occur where database privileges and deployment conditions permit it
- The application could be used as a foothold for further compromise
- An attacker may bypass authentication
- Sensitive database records could be disclosed
- Application data could be modified or deleted
- Database credentials or configuration details could be exposed
- Server-side code execution could occur where database privileges and deployment conditions permit it
- The application could be used as a foothold for further compromise
General mitigation guidance
Mitigation generally focuses on ensuring that database commands treat external input strictly as data.
Common defensive patterns include:
- Using parameterized queries or well-designed data-access abstractions
- Avoiding dynamic SQL construction from concatenated request values
- Applying allowlist validation appropriate to each input field
- Using database accounts with only the permissions required by the application
- Separating application, database, and operating-system privileges
- Returning generic authentication errors and limiting sensitive diagnostic output
- Adding centralized input-handling and query-construction controls
Mitigation generally focuses on ensuring that database commands treat external input strictly as data.
Common defensive patterns include:
- Using parameterized queries or well-designed data-access abstractions
- Avoiding dynamic SQL construction from concatenated request values
- Applying allowlist validation appropriate to each input field
- Using database accounts with only the permissions required by the application
- Separating application, database, and operating-system privileges
- Returning generic authentication errors and limiting sensitive diagnostic output
- Adding centralized input-handling and query-construction controls
How teams detect issues like this
Organizations can identify SQL injection risks through:
- Static analysis rules that flag string concatenation or interpolation in SQL statements
- Code review checks for login and search handlers that build dynamic queries
- Database and web-application logs showing anomalous authentication requests or query errors
- Runtime application-firewall policies focused on suspicious query-manipulation patterns
- Automated security testing of externally reachable input fields in authorized environments
- Policy enforcement requiring parameterized database access before code is merged
Organizations can identify SQL injection risks through:
- Static analysis rules that flag string concatenation or interpolation in SQL statements
- Code review checks for login and search handlers that build dynamic queries
- Database and web-application logs showing anomalous authentication requests or query errors
- Runtime application-firewall policies focused on suspicious query-manipulation patterns
- Automated security testing of externally reachable input fields in authorized environments
- Policy enforcement requiring parameterized database access before code is merged
Sources
| Source | Link |
|---|---|
| drive. | drive.google.com/ |
| github. | github.com/ |
