CVE-2026-96600 in Isotope eCommerce
Summary
by MITRE • 09/23/2026
Isotope eCommerce through 2.9.10 contains a blind SQL injection vulnerability in backend callbacks that interpolate request-controlled identifiers and administrator-supplied values directly into SQL statements. Authenticated Contao backend users with Isotope module permissions can exploit conditional and time-based injection payloads to extract arbitrary database contents including user password hashes from the tl_user table.
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Analysis
by VulDB Data Team • 09/23/2026
The identified vulnerability represents a critical security flaw within the Isotope eCommerce extension for the Contao content management system, specifically affecting versions up through 2.9.10. This issue is classified as a blind SQL injection, which occurs when an application constructs SQL queries by directly interpolating user-controlled input into query strings without adequate sanitization or parameterization. In this specific context, the vulnerability resides within backend callbacks that handle administrative operations. These callbacks are designed to process requests from authenticated administrators who possess Isotope module permissions. The core technical failure involves the direct concatenation of request-controlled identifiers and administrator-supplied values directly into SQL statements executed by the underlying database management system. This architectural oversight allows an attacker to manipulate the structure of these queries, bypassing intended logic controls and gaining unauthorized access to backend data processing mechanisms.
From a technical perspective, the exploitation mechanism relies on conditional and time-based injection techniques characteristic of blind SQLi attacks. Unlike error-based injections that reveal information through database error messages, blind SQLi requires the attacker to infer data by observing changes in application behavior or response times. An authenticated user with Isotope permissions can craft malicious payloads that introduce logical conditions into the SQL query. By analyzing whether specific conditional statements evaluate to true or false based on the application's response, or by measuring delays caused by time-based functions like SLEEP() or BENCHMARK(), an attacker can systematically extract data byte-by-byte from the database. This method is particularly dangerous because it does not require visible feedback in the HTTP response body, making detection through standard logging mechanisms more challenging without specialized monitoring tools.
The operational impact of this vulnerability is severe due to the high privilege level required for exploitation and the sensitivity of the targeted data. Since the attack vector requires authentication as a backend user with Isotope module permissions, it targets individuals who already have significant access within the system's administrative interface. However, once authenticated, an attacker can leverage this flaw to extract arbitrary database contents. The most critical consequence is the ability to retrieve password hashes from the tl_user table. These hashes are essential for offline cracking attacks, potentially allowing the adversary to compromise not only the Isotope module but also other services if users employ reused credentials across different platforms. Furthermore, access to the broader database schema could facilitate further lateral movement within the application environment, leading to complete system compromise and potential data exfiltration of sensitive customer or business information stored in related tables.
This vulnerability aligns with CWE-89, which describes Improper Neutralization of Special Elements used in an SQL Command, commonly known as SQL Injection. The specific exploitation technique falls under MITRE ATT&CK tactic T1059, specifically subtechnique T1059.004 for Command and Scripting Interpreter interactions via database commands, or more broadly within the Data from Information Repositories category (T1213) if focusing on the exfiltration aspect. The lack of parameterized queries represents a fundamental deviation from secure coding standards such as OWASP Top 10, particularly A03:2021 Injection. To mitigate this risk, developers must implement strict input validation and use prepared statements with parameterized queries for all database interactions involving user-supplied data. Additionally, enforcing the principle of least privilege ensures that backend users have only the necessary permissions to perform their duties, reducing the blast radius if an account is compromised. Regular security audits and static code analysis tools configured to detect SQL injection patterns are also recommended to identify similar flaws in legacy or custom modules before deployment.