Summary
A critical SQL injection vulnerability in WeGIA's billing-generation endpoint allows unauthenticated attackers to influence a raw database INSERT statement through submitted form fields. Depending on database permissions, successful exploitation could expose, alter, or delete billing, member, employee, permission, and credential data.
A critical SQL injection vulnerability in WeGIA's billing-generation endpoint allows unauthenticated attackers to influence a raw database INSERT statement through submitted form fields. Depending on database permissions, successful exploitation could expose, alter, or delete billing, member, employee, permission, and credential data.
Affected context
The issue occurs in WeGIA deployments before the security fix when the unauthenticated billing-generation endpoint processes attacker-controlled form data. The endpoint uses broad request-variable extraction and builds an INSERT statement through string interpolation, while numeric values are not consistently validated or safely bound.
The issue occurs in WeGIA deployments before the security fix when the unauthenticated billing-generation endpoint processes attacker-controlled form data. The endpoint uses broad request-variable extraction and builds an INSERT statement through string interpolation, while numeric values are not consistently validated or safely bound.
Exploit preconditions
- Attack surface: The unauthenticated web billing-generation endpoint
- Required access: Network access to submit HTTP form data; no application authentication is expected
- Trigger point: Processing of the billing record creation request
- Why exploitation is possible: Request values are inserted into a raw SQL statement without consistent parameterization, type validation, or effective escaping
- Attack surface: The unauthenticated web billing-generation endpoint
- Required access: Network access to submit HTTP form data; no application authentication is expected
- Trigger point: Processing of the billing record creation request
- Why exploitation is possible: Request values are inserted into a raw SQL statement without consistent parameterization, type validation, or effective escaping
Why this happens
The underlying defect is the construction of SQL commands by concatenating or interpolating request-controlled values into an INSERT statement. String values remain within a SQL expression context that can be altered by unexpected input, while numeric values are accepted without robust type validation. This behavior maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command, commonly known as SQL injection.
The underlying defect is the construction of SQL commands by concatenating or interpolating request-controlled values into an INSERT statement. String values remain within a SQL expression context that can be altered by unexpected input, while numeric values are accepted without robust type validation. This behavior maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command, commonly known as SQL injection.
Potential impact
- An attacker may read sensitive billing and organizational records
- An attacker could modify member, employee, permission, or credential data
- Database tables or records may be deleted or damaged
- Application integrity and billing operations could be disrupted
- Compromised database credentials or permissions could enable broader system impact
- An attacker may read sensitive billing and organizational records
- An attacker could modify member, employee, permission, or credential data
- Database tables or records may be deleted or damaged
- Application integrity and billing operations could be disrupted
- Compromised database credentials or permissions could enable broader system impact
General mitigation guidance
Mitigation generally focuses on eliminating SQL construction from untrusted input and reducing the privileges available to the application database account.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every user-controlled value
- Apply allowlisted type, range, length, and format validation before database operations
- Avoid broad request-variable extraction in favor of explicit field handling
- Use database accounts with only the permissions required for the billing workflow
- Enforce authentication and authorization for sensitive record-creation operations where appropriate
- Add transaction controls, auditing, and integrity checks for billing and identity-related data
Mitigation generally focuses on eliminating SQL construction from untrusted input and reducing the privileges available to the application database account.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every user-controlled value
- Apply allowlisted type, range, length, and format validation before database operations
- Avoid broad request-variable extraction in favor of explicit field handling
- Use database accounts with only the permissions required for the billing workflow
- Enforce authentication and authorization for sensitive record-creation operations where appropriate
- Add transaction controls, auditing, and integrity checks for billing and identity-related data
How teams detect issues like this
Organizations can identify similar issues through:
- Static analysis rules that flag SQL string concatenation or interpolation involving request data
- Code review checks for raw database statements, broad request extraction, and missing bind parameters
- Dynamic testing with safely controlled input variants against isolated environments
- Web application firewall or database monitoring policies that detect anomalous SQL error patterns and unexpected query behavior
- CI policy checks requiring parameterized database APIs and input validation for data-access code
Automated security review tools may help surface these patterns, but findings should be confirmed by developers or security engineers.
Organizations can identify similar issues through:
- Static analysis rules that flag SQL string concatenation or interpolation involving request data
- Code review checks for raw database statements, broad request extraction, and missing bind parameters
- Dynamic testing with safely controlled input variants against isolated environments
- Web application firewall or database monitoring policies that detect anomalous SQL error patterns and unexpected query behavior
- CI policy checks requiring parameterized database APIs and input validation for data-access code
Automated security review tools may help surface these patterns, but findings should be confirmed by developers or security engineers.
