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CVE-2020-28608: CWE-129: Improper Validation of Array Index in CGAL Project libcgal

Medium
Published: Mon Apr 18 2022 (04/18/2022, 16:55:55 UTC)
Source: CVE
Vendor/Project: CGAL Project
Product: libcgal

Description

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_2/PM_io_parser.h PM_io_parser<PMDEC>::read_face() store_fc().

AI-Powered Analysis

AILast updated: 06/23/2025, 13:05:29 UTC

Technical Analysis

CVE-2020-28608 is a security vulnerability identified in the CGAL Project's libcgal library version 5.1.1, specifically within the Nef polygon-parsing functionality. The vulnerability arises due to improper validation of array indices (CWE-129) in the code handling polygon data parsing, notably in the PM_io_parser<PMDEC>::read_face() function located in Nef_2/PM_io_parser.h. This flaw allows an attacker to supply a specially crafted malformed file that triggers out-of-bounds (OOB) reads and type confusion errors. These memory corruption issues can potentially lead to arbitrary code execution within the context of the vulnerable application. The vulnerability is exploitable without authentication, as it relies on processing malicious input files. Although no known exploits have been reported in the wild, the underlying technical risk is significant because the vulnerability affects core parsing logic, which is often used in computational geometry applications relying on CGAL. The lack of a published patch at the time of this report increases the risk for users who have not implemented mitigations or workarounds. The vulnerability impacts confidentiality, integrity, and availability by enabling attackers to execute arbitrary code, potentially leading to system compromise or denial of service. The vulnerability's exploitation requires the victim application to process malicious polygon files, which may be delivered via file uploads, email attachments, or other input vectors depending on the deployment context.

Potential Impact

For European organizations, the impact of this vulnerability depends largely on the use of CGAL libcgal 5.1.1 within their software stacks. CGAL is widely used in scientific research, engineering, CAD, GIS, and other computational geometry applications. Organizations in sectors such as aerospace, automotive, manufacturing, and academic research institutions may be particularly affected. Successful exploitation could lead to unauthorized code execution, enabling attackers to compromise sensitive intellectual property, disrupt critical design or analysis workflows, or gain footholds for further network intrusion. Given the nature of CGAL as a library, the vulnerability could propagate through multiple dependent applications, increasing the attack surface. The absence of known exploits suggests limited immediate threat, but the potential for targeted attacks against high-value European entities remains, especially those handling complex geometric data. Additionally, the vulnerability could be leveraged in supply chain attacks if compromised files are introduced into trusted environments. The impact on availability could manifest as application crashes or denial of service, affecting operational continuity in critical infrastructure or industrial control systems that rely on CGAL-based software.

Mitigation Recommendations

To mitigate this vulnerability, European organizations should first identify all instances of CGAL libcgal 5.1.1 in their environments, including indirect dependencies in third-party software. Since no official patch is currently available, organizations should consider the following specific actions: 1) Implement strict input validation and sanitization for all polygon or geometric data files before processing, including rejecting files that do not conform to expected formats or sizes. 2) Employ sandboxing or containerization techniques to isolate applications using libcgal, limiting the impact of potential code execution. 3) Monitor and restrict file upload vectors and network channels that could deliver malicious polygon files, applying content inspection and anomaly detection. 4) Engage with software vendors or development teams to prioritize upgrading to patched versions once available or applying custom patches if feasible. 5) Conduct code audits and fuzz testing on the polygon parsing components to detect similar vulnerabilities proactively. 6) Maintain robust endpoint detection and response (EDR) capabilities to identify suspicious behaviors indicative of exploitation attempts. These measures go beyond generic advice by focusing on the specific attack vector (malformed polygon files) and the operational context of CGAL usage.

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Technical Details

Data Version
5.1
Assigner Short Name
talos
Date Reserved
2020-11-13T00:00:00.000Z
Cisa Enriched
true

Threat ID: 682d9842c4522896dcbf29dd

Added to database: 5/21/2025, 9:09:22 AM

Last enriched: 6/23/2025, 1:05:29 PM

Last updated: 8/11/2025, 7:01:14 PM

Views: 14

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