CWE
129 125
Advisory Published
Updated

CVE-2020-28615: Out-of-bounds Read

First published: Mon Apr 18 2022(Updated: )

Multiple code execution vulnerabilities exists in the Nef polygon-parsing functionality of CGAL libcgal CGAL-5.1.1. A specially crafted malformed file can lead to an out-of-bounds read and type confusion, which could lead to code execution. An attacker can provide malicious input to trigger any of these vulnerabilities. An oob read vulnerability exists in Nef_S2/SNC_io_parser.h SNC_io_parser<EW>::read_vertex() vh->shalfedges_last().

Credit: talos-cna@cisco.com

Affected SoftwareAffected VersionHow to fix
Cgal Computational Geometry Algorithms Library=5.1.1
Debian Debian Linux=10.0

Never miss a vulnerability like this again

Sign up to SecAlerts for real-time vulnerability data matched to your software, aggregated from hundreds of sources.

Frequently Asked Questions

  • What is CVE-2020-28615?

    CVE-2020-28615 refers to multiple code execution vulnerabilities in the Nef polygon-parsing functionality of CGAL libcgal CGAL-5.1.1.

  • How severe is CVE-2020-28615?

    CVE-2020-28615 has a severity level of 8.8, which is classified as critical.

  • What software is affected by CVE-2020-28615?

    The affected software includes CGAL Computational Geometry Algorithms Library version 5.1.1 and Debian Linux version 10.0.

  • How can an attacker exploit CVE-2020-28615?

    An attacker can provide malicious input in the form of a specially crafted malformed file to trigger out-of-bounds read and type confusion, potentially leading to code execution.

Contact

SecAlerts Pty Ltd.
132 Wickham Terrace
Fortitude Valley,
QLD 4006, Australia
info@secalerts.co
By using SecAlerts services, you agree to our services end-user license agreement. This website is safeguarded by reCAPTCHA and governed by the Google Privacy Policy and Terms of Service. All names, logos, and brands of products are owned by their respective owners, and any usage of these names, logos, and brands for identification purposes only does not imply endorsement. If you possess any content that requires removal, please get in touch with us.
© 2024 SecAlerts Pty Ltd.
ABN: 70 645 966 203, ACN: 645 966 203