CVE-2024-39309
JavaScript vulnerability analysis and mitigation

Overview

A critical SQL injection vulnerability (CVE-2024-39309) was discovered in Parse Server, an open-source backend that can be deployed to any infrastructure running Node.js. The vulnerability affects versions prior to 6.5.7 and 7.1.0 when Parse Server is configured to use the PostgreSQL database. The issue was discovered by Smile Thanapattheerakul of Trend Micro Research and was publicly disclosed on June 30, 2024 (GitHub Advisory).

Technical details

The vulnerability exists within the literalizeRegexPart function of Parse Server's PostgreSQL adapter. The issue stems from improper validation of user-supplied strings before using them to construct SQL queries. The vulnerability has been assigned a CVSS v3.1 score of 9.8 (Critical) with a vector string of CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H, indicating network accessibility, low attack complexity, and no required privileges or user interaction (ZDI Advisory).

Impact

The vulnerability allows remote attackers to bypass authentication on affected installations of Parse Server. Due to its critical severity rating, successful exploitation could lead to unauthorized access to data, potential data manipulation, and system compromise with high impacts on confidentiality, integrity, and availability of the affected system (GitHub Advisory).

Exploitability

The vulnerability is considered highly exploitable due to its network accessibility and low attack complexity. No special privileges or user interaction are required to exploit this vulnerability, making it particularly dangerous. The attack can be executed remotely, and the vulnerability can be triggered when Parse Server is configured to use PostgreSQL as its database (ZDI Advisory).

Mitigation and workarounds

The vulnerability has been patched in Parse Server versions 6.5.7 and 7.1.0. The fix involves improvements to the SQL injection detection algorithm. No workarounds are available, making it critical for affected users to upgrade to the patched versions (GitHub Advisory).

Additional resources


SourceThis report was generated using AI

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