CVE-2023-33962
Java vulnerability analysis and mitigation

Overview

JStachio, a type-safe Java Mustache templating engine, was found to have a cross-site scripting (XSS) vulnerability identified as CVE-2023-33962. Prior to version 1.0.1, the engine failed to properly escape single quotes in HTML output, creating a potential security risk. The vulnerability was discovered and reported by security researcher casid and was disclosed on May 30, 2023 (NVD, GitHub Advisory).

Technical details

The vulnerability stems from insufficient HTML character escaping in the templating engine. Specifically, the engine only implemented the basic Mustache spec escaping for double quotes ("), ampersands (&), less than (<), and greater than (>) characters, but failed to escape single quotes ('). The vulnerability has been assigned a CVSS v3.1 base score of 6.1 (MEDIUM) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N (NVD).

Impact

An attacker could exploit this vulnerability to execute arbitrary JavaScript code in the context of users visiting pages that use the affected template engine. This could lead to session hijacking, web page defacement, sensitive information theft, or malware propagation. The vulnerability is particularly dangerous when handling untrusted content in HTML attributes (GitHub Advisory).

Mitigation and workarounds

The vulnerability was patched in JStachio version 1.0.1 with more aggressive HTML5 escaping implementation. As a temporary workaround, users can avoid the vulnerability by using only double quotes for HTML attributes. For long-term security, users should upgrade to version 1.0.1 or later (GitHub Release, GitHub Issue).

Community reactions

The project maintainer acknowledged the oversight, describing it as one of the more significant mistakes in their development career. They committed to implementing additional security measures, including Sonar and CodeQL checks, to prevent similar issues in the future (GitHub Issue).

Additional resources


SourceThis report was generated using AI

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