Summary
A critical SQL injection vulnerability in WeGIA's unauthenticated billing endpoint allows attacker-controlled request parameters to influence database queries. A remote attacker may read, alter, or delete application data, including billing records, credentials, and database tables, when the endpoint is reachable and accepts crafted input.
A critical SQL injection vulnerability in WeGIA's unauthenticated billing endpoint allows attacker-controlled request parameters to influence database queries. A remote attacker may read, alter, or delete application data, including billing records, credentials, and database tables, when the endpoint is reachable and accepts crafted input.
Affected context
The vulnerability occurs in WeGIA deployments using the affected billing registration endpoint before the security fix. Risk is present when the endpoint is exposed to untrusted network requests and request parameters are incorporated into SQL statements without parameterized query handling. The affected data flows include billing values, person and member identifiers, and membership-type identifiers.
The vulnerability occurs in WeGIA deployments using the affected billing registration endpoint before the security fix. Risk is present when the endpoint is exposed to untrusted network requests and request parameters are incorporated into SQL statements without parameterized query handling. The affected data flows include billing values, person and member identifiers, and membership-type identifiers.
Exploit preconditions
- Attack surface: The unauthenticated
web/html/socio/sistema/cadastro_cobranca.phpweb endpoint - Required access: Network access to the endpoint; no valid application account is required
- Trigger point: Processing of POST or other request parameters used by the billing workflow
- Relevant inputs: Parameters such as
valor,valor_pago,id_pessoa,id_socio, andid_sociotipo - Why exploitation is possible: Request values are incorporated into multiple SQL statements without prepared statements or equivalent parameter binding
- Attack surface: The unauthenticated
web/html/socio/sistema/cadastro_cobranca.phpweb endpoint - Required access: Network access to the endpoint; no valid application account is required
- Trigger point: Processing of POST or other request parameters used by the billing workflow
- Relevant inputs: Parameters such as
valor,valor_pago,id_pessoa,id_socio, andid_sociotipo - Why exploitation is possible: Request values are incorporated into multiple SQL statements without prepared statements or equivalent parameter binding
Why this happens
The underlying bug is failure to separate untrusted request data from SQL syntax. The endpoint uses broad request-variable extraction and places attacker-influenced values directly into UPDATE, INSERT, and SELECT statements. This behavior maps to CWE-89, SQL Injection, because input is interpreted as part of a database command rather than being handled strictly as data.
The underlying bug is failure to separate untrusted request data from SQL syntax. The endpoint uses broad request-variable extraction and places attacker-influenced values directly into UPDATE, INSERT, and SELECT statements. This behavior maps to CWE-89, SQL Injection, because input is interpreted as part of a database command rather than being handled strictly as data.
Potential impact
- An attacker may read sensitive application and credential data
- Billing records and other database content could be modified
- Database tables may be deleted or truncated, causing data loss
- Application integrity and charitable-institution operations could be disrupted
- Compromised database content could support further attacks against users or services
- An attacker may read sensitive application and credential data
- Billing records and other database content could be modified
- Database tables may be deleted or truncated, causing data loss
- Application integrity and charitable-institution operations could be disrupted
- Compromised database content could support further attacks against users or services
General mitigation guidance
Mitigation generally centers on removing executable SQL interpretation from
request-controlled values and reducing the trust placed in unauthenticated
inputs.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Apply allowlisted, type-aware validation to numeric identifiers and monetary values
- Avoid broad request-variable extraction and map accepted fields explicitly
- Enforce authentication and authorization for billing and database-changing operations
- Restrict database accounts to the minimum required tables and operations
- Prevent destructive operations through application-level and database-level policy controls
- Use generic error handling that does not expose SQL or schema details
Mitigation generally centers on removing executable SQL interpretation from
request-controlled values and reducing the trust placed in unauthenticated
inputs.
Common defensive patterns include:
- Use parameterized queries or prepared statements for every database operation
- Apply allowlisted, type-aware validation to numeric identifiers and monetary values
- Avoid broad request-variable extraction and map accepted fields explicitly
- Enforce authentication and authorization for billing and database-changing operations
- Restrict database accounts to the minimum required tables and operations
- Prevent destructive operations through application-level and database-level policy controls
- Use generic error handling that does not expose SQL or schema details
How teams detect issues like this
Organizations can look for SQL injection risks through:
- Static analysis rules identifying string concatenation or interpolation in SQL APIs
- Code review checks for request variables passed directly into database queries
- Review of dynamic variable extraction such as
extract($_REQUEST)near database code - Runtime monitoring for unusual query errors, unexpected operators, and destructive database activity
- Web application firewall or gateway policies that detect suspicious database-language patterns
- Database audit logs correlating unauthenticated requests with reads, updates, or schema-impacting actions
- Automated security review tools that flag missing parameter binding and weak input validation
Organizations can look for SQL injection risks through:
- Static analysis rules identifying string concatenation or interpolation in SQL APIs
- Code review checks for request variables passed directly into database queries
- Review of dynamic variable extraction such as
extract($_REQUEST)near database code - Runtime monitoring for unusual query errors, unexpected operators, and destructive database activity
- Web application firewall or gateway policies that detect suspicious database-language patterns
- Database audit logs correlating unauthenticated requests with reads, updates, or schema-impacting actions
- Automated security review tools that flag missing parameter binding and weak input validation
