CVE-2020-28610
Linux Debian vulnerability analysis and mitigation

Overview

Multiple code execution vulnerabilities exist in the Nef polygon-parsing functionality of CGAL libcgal CGAL-5.1.1. The vulnerability, identified as CVE-2020-28610, was discovered and disclosed in February 2021. The vulnerability specifically affects the NefS2/SMioparser.h SMioparser::readvertex() setface() function. This vulnerability is part of a larger set of similar issues found in the CGAL library's polygon parsing code ([Talos Report](https://talosintelligence.com/vulnerabilityreports/TALOS-2020-1225), Debian Advisory).

Technical details

The vulnerability stems from an out-of-bounds read vulnerability in the SMioparser::readvertex() function within the NefS2/SMioparser.h file. When parsing Nef polygon data, the code fails to properly validate array indices before accessing them, which can lead to memory access violations. The vulnerability has been assigned a CVSS v3.1 base score of 8.8 (HIGH) by NIST and 10.0 (CRITICAL) by Talos, with the vector string CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H. The vulnerability is classified under CWE-125 (Out-of-bounds Read) and CWE-129 (Improper Validation of Array Index) (NVD).

Impact

The vulnerability can lead to out-of-bounds read and type confusion, which could ultimately result in code execution. An attacker can trigger this vulnerability by providing malicious input through specially crafted malformed files. The impact is particularly severe as it affects the core functionality of the CGAL library, which is widely used in research projects and computational areas (Talos Report).

Mitigation and workarounds

Multiple distributions have released patches to address this vulnerability. Debian 10 (buster) has fixed the issue in version 4.13-1+deb10u1. Gentoo users are advised to upgrade to version 5.4.1 or later. The fix involves proper validation of array indices before accessing them in the polygon-parsing functionality (Debian Advisory, Gentoo Advisory).

Additional resources


SourceThis report was generated using AI

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