Summary
A SQL injection vulnerability in the SLiMS Bulian reporting functionality allows attacker-controlled input in the fileID parameter to influence database queries. If the affected reporting endpoint is reachable and input is not safely handled, an attacker may read, alter, or interfere with application data.
A SQL injection vulnerability in the SLiMS Bulian reporting functionality allows attacker-controlled input in the fileID parameter to influence database queries. If the affected reporting endpoint is reachable and input is not safely handled, an attacker may read, alter, or interfere with application data.
Affected context
The issue occurs in the custom reporting detail handler at
admin/modules/reporting/customs/dl_detail.php when it processes the
fileID request parameter. Risk depends on whether the reporting endpoint
is exposed, how authentication and authorization are configured, and whether
the application constructs database queries from the parameter without
parameterization or equivalent safeguards.
The issue occurs in the custom reporting detail handler at
admin/modules/reporting/customs/dl_detail.php when it processes the
fileID request parameter. Risk depends on whether the reporting endpoint
is exposed, how authentication and authorization are configured, and whether
the application constructs database queries from the parameter without
parameterization or equivalent safeguards.
Exploit preconditions
- Attack surface: Web-accessible SLiMS reporting functionality
- Required access: Access sufficient to reach the affected reporting endpoint; this may require authentication depending on deployment configuration
- Trigger point: Processing of the
fileIDparameter bydl_detail.php - Why exploitation is possible: The parameter may influence a database query without adequate separation between data and SQL instructions
- Attack surface: Web-accessible SLiMS reporting functionality
- Required access: Access sufficient to reach the affected reporting endpoint; this may require authentication depending on deployment configuration
- Trigger point: Processing of the
fileIDparameter bydl_detail.php - Why exploitation is possible: The parameter may influence a database query without adequate separation between data and SQL instructions
Why this happens
The underlying bug is the use of untrusted request data in a database query
without a reliable parameterization boundary. When application input is
treated as part of SQL syntax rather than as a bound value, crafted input can
change query behavior. This maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection).
The underlying bug is the use of untrusted request data in a database query
without a reliable parameterization boundary. When application input is
treated as part of SQL syntax rather than as a bound value, crafted input can
change query behavior. This maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection).
Potential impact
- An attacker may retrieve unauthorized database records
- An attacker could modify or delete application data, depending on database permissions
- The vulnerability can expose member, catalog, administrative, or operational information
- Application availability may be affected through disruptive database queries
- Compromised database credentials or excessive privileges could increase downstream impact
- An attacker may retrieve unauthorized database records
- An attacker could modify or delete application data, depending on database permissions
- The vulnerability can expose member, catalog, administrative, or operational information
- Application availability may be affected through disruptive database queries
- Compromised database credentials or excessive privileges could increase downstream impact
General mitigation guidance
Mitigation generally centers on ensuring that request values never become
executable SQL syntax.
Common defensive patterns include:
- Use parameterized queries or prepared statements for all database operations
- Apply allowlist validation and strict type handling for identifiers such as
fileID - Avoid string concatenation or interpolation when constructing SQL statements
- Return generic database errors without exposing query details
- Assign the application database account only the permissions required for its functions
- Enforce authentication and authorization consistently around reporting endpoints
- Treat client-controlled identifiers as untrusted even when they appear numeric
Mitigation generally centers on ensuring that request values never become
executable SQL syntax.
Common defensive patterns include:
- Use parameterized queries or prepared statements for all database operations
- Apply allowlist validation and strict type handling for identifiers such as
fileID - Avoid string concatenation or interpolation when constructing SQL statements
- Return generic database errors without exposing query details
- Assign the application database account only the permissions required for its functions
- Enforce authentication and authorization consistently around reporting endpoints
- Treat client-controlled identifiers as untrusted even when they appear numeric
How teams detect issues like this
Organizations can look for SQL injection risks through:
- Static analysis rules that flag SQL construction using request parameters
- Code review checks for string concatenation or interpolation in database queries
- Dynamic testing of reporting endpoints with unexpected type and boundary inputs
- Web application firewall or API policy rules for suspicious database-expression patterns
- Database audit logs showing anomalous queries, unusual record access, or unexpected errors
- Automated security review tools that identify missing parameter binding and weak input validation
Organizations can look for SQL injection risks through:
- Static analysis rules that flag SQL construction using request parameters
- Code review checks for string concatenation or interpolation in database queries
- Dynamic testing of reporting endpoints with unexpected type and boundary inputs
- Web application firewall or API policy rules for suspicious database-expression patterns
- Database audit logs showing anomalous queries, unusual record access, or unexpected errors
- Automated security review tools that identify missing parameter binding and weak input validation
Sources
| Source | Link |
|---|---|
| github. | github.com/ |
| github. | github.com/ |
