Summary
CodeAstro Membership Management System 1.0 contains a SQL injection flaw in the report generation functionality where user-controlled date input is concatenated into database queries.
An attacker who can submit crafted values to the fromDate parameter in report.php or revenue_report.php may execute arbitrary SQL, leading to data exfiltration, tampering, or full compromise of the application database.
Affected context
This vulnerability appears in CodeAstro Membership Management System 1.0 when reports are generated based on user-supplied date ranges.
The fromDate parameter in report.php and revenue_report.php is used to build SQL queries without robust separation between data and code.
The risk is present where user input is passed directly into query strings, especially in environments with permissive database accounts or shared databases.
Exploit preconditions
- Attack surface: Web application endpoints handling report generation
- Required access: Ability to send HTTP requests to
report.phporrevenue_report.php(typically a regular or even unauthenticated user, depending on deployment) - Trigger point: Supplying crafted values in the
fromDateparameter that are incorporated into SQL statements - Why exploitation is possible: The application dynamically concatenates
fromDateinto SQL queries instead of using parameterized statements or adequate input handling, allowing attacker-controlled fragments to alter the query structure
Why this happens
The core issue is the construction of SQL statements by directly embedding user input from the fromDate parameter into query strings.
This pattern maps to CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection'), where untrusted data is concatenated with SQL code and interpreted by the database.
Without parameterized queries, strict type binding, or robust neutralization of control characters, the database engine cannot distinguish between intended data values and attacker-injected SQL syntax.
Potential impact
- Extraction of sensitive member records and other confidential data from the database
- Modification or deletion of membership, revenue, or reporting data
- Creation of new privileged application users or manipulation of authentication data, depending on schema
- Use of SQL features to escalate from data access to full database account compromise
- Potential pivoting to underlying host or other applications using the same database, depending on configuration
General mitigation guidance
Long-term mitigation typically focuses on eliminating ad-hoc query string construction and enforcing strict separation between SQL logic and user input.
Common defensive patterns include:
- Refactoring database access to use parameterized queries or prepared statements for all dynamic inputs, including date fields
- Enforcing strong server-side validation and type checking for date parameters, rejecting unexpected formats or extraneous characters
- Centralizing data access in a well-reviewed data access layer, discouraging inline SQL in presentation scripts
- Applying least-privilege to database accounts used by the application so that, even if a query is manipulated, its capabilities are constrained
- Leveraging query builders or ORM frameworks configured to escape or bind parameters safely by default
How teams detect issues like this
Detection efforts often combine code-level inspection with runtime monitoring.
Example approaches include:
- Static analysis rules that flag string concatenation or interpolation involving request parameters and SQL execution APIs
- Code review checklists that explicitly require verification of parameterized queries and type-safe date handling
- Configuration of web application firewalls (WAFs) or database firewalls to detect suspicious patterns in the
fromDateparameter, such as embedded SQL operators or comments - Use of automated security testing (DAST) to probe report endpoints with crafted inputs and observe anomalous database behavior or error responses
