Summary
A SQL injection vulnerability in the online-makeup-store Admin Login Handler allows remotely supplied id or password values to influence database queries. An unauthenticated or otherwise reachable attacker may be able to read, alter, or interfere with database-backed application data when input is not safely separated from SQL commands.
Affected context
The issue occurs in the index.php Admin Login Handler of online-makeup-store when request parameters used for id or password are incorporated into database operations without adequate separation or validation. Risk depends on whether the handler is publicly reachable, the privileges of its database account, and the query behavior associated with authentication.
Exploit preconditions
- Attack surface: Remotely accessible Admin Login Handler
- Required access: Network access to the affected application; authentication may not be required
- Trigger point: Processing of the
idorpasswordparameters inindex.php - Why exploitation is possible: User-controlled values may influence SQL statement structure rather than being treated strictly as data
Why this happens
The underlying bug is a failure to maintain a clear boundary between untrusted input and SQL commands. When request parameters are concatenated into queries or otherwise interpreted as query syntax, an attacker-controlled value can alter database logic. This maps primarily to CWE-89: Improper Neutralization of Special Elements used in an SQL Command (SQL Injection); the related CWE-74 reflects the broader injection-class weakness.
Potential impact
- An attacker may bypass authentication checks
- Sensitive database records could be disclosed
- Application or account data could be modified or deleted
- Database-backed services may become unavailable
- Compromised data could support further application or administrative abuse
General mitigation guidance
Mitigation generally centers on ensuring that database queries cannot interpret request data as executable SQL.
Common defensive patterns include:
- Using parameterized queries or prepared statements for every database operation
- Applying narrowly scoped, allowlisted validation to identifiers and other expected values
- Avoiding dynamic SQL construction from request parameters
- Separating database credentials by function and granting only required privileges
- Returning generic authentication errors and minimizing database-detail exposure
- Treating client-controlled input as untrusted across all authentication and administrative endpoints
How teams detect issues like this
Organizations can identify similar issues through:
- Static analysis for string concatenation or interpolation within SQL execution calls
- Code review of authentication handlers and all database access paths
- Dynamic testing using safe, non-destructive injection probes in authorized environments
- Web application firewall or gateway policies that flag suspicious query-like input patterns
- Database monitoring for anomalous authentication queries, unusual error rates, and unexpected access patterns
- Automated security review tools that identify unsafe query construction
