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CVE-2020-28636: CWE-129: Improper Validation of Array Index in CGAL

Medium
Published: Thu Mar 04 2021 (03/04/2021, 00:00:00 UTC)
Source: CVE
Vendor/Project: n/a
Product: CGAL

Description

A code execution vulnerability exists in the Nef polygon-parsing functionality of CGAL libcgal CGAL-5.1.1. An oob read vulnerability exists in Nef_S2/SNC_io_parser.h SNC_io_parser::read_sloop() slh->twin() An attacker can provide malicious input to trigger this vulnerability.

AI-Powered Analysis

AILast updated: 06/24/2025, 01:41:18 UTC

Technical Analysis

CVE-2020-28636 is a medium-severity vulnerability identified in the Computational Geometry Algorithms Library (CGAL), specifically in version 5.1.1 of the libcgal component. The flaw is categorized under CWE-129, which pertains to improper validation of array indices. The vulnerability arises in the Nef polygon-parsing functionality, particularly within the SNC_io_parser::read_sloop() function located in the SNC_io_parser.h file. Here, an out-of-bounds (OOB) read occurs when the function attempts to access the 'twin()' member of a slh object without adequate bounds checking. This improper validation allows an attacker to craft malicious input data that, when parsed by the vulnerable CGAL library, triggers the OOB read. While the vulnerability does not directly indicate an out-of-bounds write or buffer overflow, the OOB read can lead to information disclosure or potentially be leveraged as part of a more complex exploit chain to achieve arbitrary code execution. However, no known exploits have been reported in the wild to date. The vulnerability requires the attacker to supply specially crafted input to the polygon parser, which implies that the attack vector is through processing untrusted polygon data files or streams. Given that CGAL is a specialized library used primarily in computational geometry applications, CAD software, and scientific computing, the exposure depends on whether such applications incorporate the vulnerable CGAL version and accept untrusted input. The lack of an official patch or mitigation from the vendor at the time of reporting increases the risk for users who have not implemented workarounds or updated to later versions.

Potential Impact

For European organizations, the impact of CVE-2020-28636 largely depends on the extent to which CGAL 5.1.1 is integrated into their software stacks, particularly in sectors such as engineering, manufacturing, scientific research, and CAD design. If vulnerable CGAL versions are embedded in software that processes polygon data from untrusted sources, attackers could exploit this vulnerability to read out-of-bounds memory, potentially leaking sensitive information or destabilizing applications. This could lead to denial of service or serve as a stepping stone for further exploitation, including code execution. Organizations relying on CGAL-based tools for critical infrastructure design or intellectual property management may face confidentiality and availability risks. However, since no known exploits exist in the wild and the vulnerability requires crafted input, the immediate threat level is moderate. Still, given the strategic importance of manufacturing and engineering sectors in Europe, any compromise could have downstream effects on supply chains and innovation. Additionally, if attackers combine this vulnerability with others, the overall risk could escalate.

Mitigation Recommendations

1. Inventory and Audit: European organizations should conduct a thorough inventory of software and tools that utilize CGAL, specifically checking for version 5.1.1 or earlier. 2. Input Validation: Implement strict validation and sanitization of all polygon data inputs before processing with CGAL-based components to prevent maliciously crafted data from triggering the vulnerability. 3. Update and Patch: Although no official patch was noted at the time of reporting, organizations should monitor CGAL project releases for updates addressing this vulnerability and apply patches promptly. 4. Application Isolation: Run CGAL-dependent applications in sandboxed or containerized environments to limit the impact of potential exploitation. 5. Monitoring and Logging: Enhance monitoring of applications processing polygon data for unusual crashes or memory access errors that could indicate exploitation attempts. 6. Vendor Engagement: Engage with software vendors who incorporate CGAL to confirm their mitigation status and request updates if necessary. 7. Defensive Coding: For organizations developing software with CGAL, implement additional bounds checking and error handling around polygon parsing routines as a temporary safeguard.

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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: 682d9840c4522896dcbf170c

Added to database: 5/21/2025, 9:09:20 AM

Last enriched: 6/24/2025, 1:41:18 AM

Last updated: 8/2/2025, 3:21:47 AM

Views: 14

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