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CVE-2025-69933

Severity:

CRITICAL RISK

(9.8)

SQL Injection (CWE-89) in CodeAstro Member Profile

CVE-2025-69933

Deferred

Vulnerability type

Category:

SQL Injection

CWE:

CWE-89

Impact:

Database Compromise and Remote Data Manipulation

Severity:

CRITICAL RISK

(9.8)

CVSS version:

3.1

Catch this CVE while code is being written

Detect vulnerable code directly in pull requests, so CVEs are fixed before merge.

Summary

A SQL injection vulnerability in the CodeAstro Membership Management System allows attackers to manipulate database queries via the id parameter in memberProfile.php.

When the application directly interpolates user-supplied values into SQL statements without proper validation or parameterization, an attacker can alter queries to access, modify, or destroy data.

Affected context

This vulnerability occurs in the CodeAstro Membership Management System 1.0 within the member profile retrieval functionality.

The affected endpoint, /memberProfile.php, reads an id parameter from the request and uses it to query the backend database.

In deployments where user input from query parameters is concatenated into SQL strings without parameterized queries or robust input validation, the application becomes susceptible to SQL injection.

Exploit preconditions

  • Attack surface: HTTP interface exposed by /memberProfile.php
  • Required access: Ability to send crafted requests to the member profile endpoint (typically unauthenticated or low-privilege user access)
  • Trigger point: Processing of the id query parameter used in SQL statements
  • Why exploitation is possible: The id parameter is incorporated into SQL queries without using prepared statements or proper escaping, enabling attackers to inject additional SQL fragments

Why this happens

The root cause aligns with CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection').

The application likely constructs SQL statements by concatenating raw user input from the id parameter directly into the query string.

Without parameterized queries, bind variables, or rigorous neutralization of special SQL characters, user-controlled input can break out of the intended query structure and introduce attacker-defined conditions or commands.

Potential impact

  • Unauthorized reading of sensitive membership data and user records
  • Modification or deletion of database entries, including member profiles
  • Creation of new accounts or escalation of privileges within the application data model
  • Bypassing authentication or authorization checks implemented at the database layer
  • Potential full database compromise, including exfiltration of credentials and other applications sharing the same database

General mitigation guidance

Effective mitigation focuses on eliminating direct string concatenation of user input into SQL statements and reducing trust in external data.

Common defensive patterns include:

  • Using parameterized queries or prepared statements for all database interactions
  • Applying strict server-side validation and type enforcement on identifiers like id (for example, ensuring they are integers)
  • Centralizing database access through a data access layer that enforces safe query construction by default
  • Minimizing database privileges for the application account to restrict the actions possible if a query is compromised
  • Implementing defense-in-depth controls such as query whitelisting or ORM frameworks that default to safe patterns

How teams detect issues like this

Organizations can detect SQL injection risks through:

  • Static analysis rules that flag dynamic SQL string construction using request parameters or other untrusted sources
  • Code review checklists that require verification of prepared statements for every database query
  • Runtime monitoring and database logging tuned to identify anomalous query patterns, such as unexpected logical operators or UNION clauses
  • Web application firewalls configured with SQL injection signatures to alert on or block suspicious requests
  • Integration of automated secure code scanners into CI/CD pipelines to surface vulnerable query patterns early in development

Sources

SourceLink
github.comgithub.com/um-dsp/TaintRadar/blob/main/sql_injection_cves/codeastro/20250811-membership-management-system-memberprofile.php-id-sqli/20250811-membership-management-system-memberprofile.php-id-sqli.md

Frequently asked

questions

Because it affects a parameter in a web-exposed endpoint, the issue can often be exploited remotely by anyone who can send HTTP requests to the application, subject to whatever access controls are in place.

Not necessarily. If the affected endpoint is accessible without authentication or under low-privilege accounts, an attacker can exploit the vulnerability with minimal or no prior access.

The most reliable fix is to refactor all affected SQL operations to use parameterized queries or prepared statements and to enforce strong type checks on incoming parameters.

Adopt secure-by-default data access layers, prohibit ad-hoc string-based query construction in coding standards, and incorporate automated security reviews and testing to enforce these patterns across the codebase.

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