CVE-2026-25993 - Crumby Lists

Description

EverShop is a TypeScript-first eCommerce platform. During category update and deletion event handling, the application embeds path / request_path values—derived from the url_key stored in the database—into SQL statements via string concatenation and passes them to execute(). As a result, if a malicious string is stored in url_key , subsequent event processing modifies and executes the SQL statement, leading to a second-order SQL injection. Patched from v2.1.1.

Reference

http://github.com/evershopcommerce/evershop/commit/5c5bdf2c1ad5d16ae68e9e48b494563953b6d1cd https://github.com/evershopcommerce/evershop/security/advisories/GHSA-3h84-9rhc-j2ch

Remediation Step-by-Step Guide

1. Identify All Instances of Dynamic SQL Construction
   Search the codebase for all occurrences where url_key values from the database are concatenated directly into SQL strings, particularly in category update and deletion event handlers. Use grep or IDE search tools to find .execute() calls with string interpolation involving url_key.

2. Replace String Concatenation with Parameterized Queries
   Refactor all SQL queries that include url_key to use parameterized (prepared) statements. For example, replace:

   const query = `UPDATE categories SET path = '${request_path}' WHERE id = ${id}`;
   connection.execute(query);
   

   With:

   const query = 'UPDATE categories SET path = ? WHERE id = ?';
   connection.execute(query, [request_path, id]);
   

3. Sanitize and Validate Input at Entry Points
   Implement input validation for url_key during creation or update to reject strings containing SQL metacharacters (e.g., ', ;, --, /*, */). Use a whitelist of allowed characters (alphanumeric, hyphens, underscores, forward slashes).

4. Apply Input Encoding in Output Contexts
   Ensure any url_key data rendered in SQL contexts is never trusted — always bind as parameters, even if previously validated.

5. Update Dependencies and Patch
   Upgrade EverShop to version v2.1.1 or later, which includes the official fix for this vulnerability.

6. Conduct Code Review and Static Analysis
   Run a static application security testing (SAST) tool (e.g., Semgrep, CodeQL) to detect similar SQL injection patterns across the codebase.

7. Test Remediation
   Write and run unit/integration tests that attempt to inject malicious SQL via url_key (e.g., ' OR 1=1 --). Verify that the application rejects or safely handles such input without executing unintended SQL.

8. Log and Monitor for Suspicious Activity
   Enable database query logging with alerting on anomalous patterns (e.g., UNION, DROP, EXEC) to detect potential bypass attempts.

9. Document and Train Developers
   Update secure coding guidelines to prohibit string concatenation in SQL queries. Conduct training on parameterized queries and second-order injection risks.

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Context within ISO/IEC 27001 and NIST Frameworks

ISO/IEC 27001

This vulnerability directly violates A.14.1.3 – Secure Development Policy and A.14.2.5 – Secure System Architecture, which require secure coding practices to prevent injection flaws. The use of dynamic SQL without parameterization breaches control A.14.2.3 – Secure Coding Practices, mandating the use of input validation and parameterized queries to mitigate injection attacks. Additionally, A.12.6.1 – Technical Vulnerability Management requires timely patching — failure to update beyond v2.1.1 violates this control.

NIST SP 800-53

This issue maps to:

• SI-10 (Information Input Validation) – Requires input validation to prevent injection attacks.
• SI-12 (Information Output Validation) – Requires sanitization of data before use in any context.
• SI-16 (Security Assessment and Testing) – Requires regular testing for vulnerabilities like SQL injection.
• SI-17 (Security Error Handling) – Requires applications to handle errors without exposing sensitive system details.
• PM-17 (Software Development Life Cycle) – Requires secure development practices, including use of parameterized queries and code reviews.
• RA-5 (Vulnerability Scanning) – Requires scanning for known vulnerabilities and timely remediation.

Failure to apply the patch or implement parameterized queries constitutes non-compliance with these controls and exposes the organization to unauthorized data access, integrity loss, and regulatory penalties.