CVE-2020-28632: Out-of-bounds Read

Published 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 NefS2/SNCioparser.h SNCioparser<EW>::readsedge() seh->incidentsface().

Affected Software

2 affected components
CGAL Computational Geometry Algorithms Library=5.1.1
Debian Debian Linux=10.0

Event History

Apr 18, 2022
CVE Published
via MITRE·04:56 PM
Data Sourced
via MITRE·04:56 PM
DescriptionSeverityWeakness

Frequently Asked Questions

1

What is the severity of CVE-2020-28632?

CVE-2020-28632 is rated as a critical vulnerability due to its potential for code execution through specially crafted malformed files.

2

How do I fix CVE-2020-28632?

To fix CVE-2020-28632, upgrade to a newer version of CGAL that includes patches for this vulnerability.

3

What kind of systems are affected by CVE-2020-28632?

CVE-2020-28632 affects CGAL version 5.1.1 and Debian 10.0 systems using this library.

4

Can CVE-2020-28632 lead to remote code execution?

Yes, CVE-2020-28632 can lead to remote code execution if an attacker crafts a malformed file and the vulnerable library processes it.

5

What is the primary impact of CVE-2020-28632?

The primary impact of CVE-2020-28632 is the potential for an attacker to perform code execution on the target system through manipulated input.

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.
© 2026 SecAlerts Pty Ltd.
ABN: 70 645 966 203, ACN: 645 966 203