Attack Chain

1. An attacker identifies a vulnerable Vendure instance running a version prior to 2.3.4, 3.5.7, or 3.6.2.
2. The attacker crafts a malicious HTTP request targeting the Vendure Shop API.
3. The crafted request includes a SQL injection payload within the languageCode query string parameter.
4. The vulnerable application code directly interpolates the attacker-controlled languageCode parameter into a raw SQL query without proper sanitization or parameterization.
5. The malicious SQL payload is executed against the database backend (PostgreSQL, MySQL/MariaDB, or SQLite).
6. The attacker leverages the SQL injection to bypass authentication, extract sensitive data (customer details, credentials, internal configurations), or modify data within the database.
7. The attacker could potentially use advanced SQL injection techniques to execute operating system commands on the server hosting the database (depending on database configuration and permissions).
8. Successful exploitation leads to full database compromise, potential server compromise, and significant data breach.

Impact

Successful exploitation of CVE-2026-40887 can lead to complete database compromise, allowing attackers to steal sensitive customer data, modify product information, or even gain unauthorized access to the underlying server. The impact is especially high due to the unauthenticated nature of the vulnerability, allowing anyone on the internet to potentially exploit it. This can result in significant financial losses, reputational damage, and legal repercussions for affected organizations. The number of potential victims is directly tied to the number of unpatched Vendure instances exposed to the internet.

Recommendation

• Immediately upgrade Vendure instances to versions 2.3.4, 3.5.7, or 3.6.2 to patch CVE-2026-40887.
• If immediate upgrade is not possible, apply the provided hotfix that utilizes RequestContextService.getLanguageCode to validate the languageCode input as detailed in the advisory.
• Deploy the Sigma rule "Detect Vendure Shop API SQL Injection Attempts" to your SIEM to identify potential exploitation attempts based on malicious languageCode parameters.
• Monitor web server logs for suspicious HTTP requests targeting the Vendure Shop API with unusual characters or SQL keywords in the query string (as detected by the "Detecting Vendure SQLi via Web Logs" Sigma rule).