CVE-2020-28601: CWE-129: Improper Validation of Array Index in CGAL
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_2/PM_io_parser.h PM_io_parser::read_vertex() Face_of[] OOB read. An attacker can provide malicious input to trigger this vulnerability.
AI Analysis
Technical Summary
CVE-2020-28601 is a medium-severity vulnerability affecting the Computational Geometry Algorithms Library (CGAL), specifically version 5.1.1 of the libcgal component. The vulnerability arises from improper validation of array indices (CWE-129) in the Nef polygon-parsing functionality, particularly within the PM_io_parser::read_vertex() function in the Nef_2 module. This function processes polygon data and uses an array named Face_of[]. Due to insufficient bounds checking, an attacker can supply maliciously crafted input that triggers an out-of-bounds (OOB) read on the Face_of[] array. While the vulnerability is an OOB read rather than a write, it can lead to unintended disclosure of memory contents, potentially leaking sensitive information or causing undefined behavior. In some contexts, such memory corruption can be leveraged to execute arbitrary code, although no known exploits are currently reported in the wild. The vulnerability does not require authentication but does require the attacker to provide specially crafted input to the vulnerable polygon parsing functionality. CGAL is widely used in computational geometry applications, CAD software, scientific computing, and other domains requiring geometric computations. The vulnerability is specific to the parsing of Nef polygons, which are a complex polygon representation used in advanced geometric operations.
Potential Impact
For European organizations, the impact of CVE-2020-28601 depends largely on the extent to which CGAL 5.1.1 is integrated into their software stacks, particularly in industries such as engineering, CAD design, scientific research, and manufacturing. Exploitation could lead to unauthorized disclosure of memory contents, potentially exposing sensitive geometric data or intellectual property. In environments where CGAL is used in automated pipelines or exposed services that parse polygon data from untrusted sources, attackers could trigger this vulnerability remotely. Although no known exploits exist, the potential for code execution or denial of service exists if the vulnerability is chained with other bugs. This could disrupt critical design or manufacturing processes, leading to operational downtime and financial loss. The vulnerability's impact on confidentiality and availability is moderate, while integrity impact is limited unless combined with other vulnerabilities. European organizations in sectors such as aerospace, automotive, and industrial design, which rely heavily on computational geometry, may face higher risk. Additionally, organizations providing software development tools or libraries that incorporate CGAL could inadvertently distribute vulnerable components, increasing the attack surface.
Mitigation Recommendations
To mitigate CVE-2020-28601, organizations should first identify all instances of CGAL 5.1.1 usage within their software environments, including third-party applications and internal tools. Since no official patch or update is currently linked, users should consider the following practical steps: 1) Implement input validation and sanitization on all polygon data inputs before they reach the CGAL parsing routines, rejecting or sanitizing malformed or suspicious polygon data. 2) Employ runtime memory protection mechanisms such as AddressSanitizer or similar tools during development and testing to detect out-of-bounds accesses. 3) Isolate or sandbox components that process untrusted polygon data to limit the impact of potential exploitation. 4) Monitor logs and application behavior for anomalies indicative of exploitation attempts, such as crashes or unexpected memory access errors. 5) Engage with the CGAL community or maintainers to track the release of official patches or updates addressing this vulnerability. 6) Where feasible, upgrade to later versions of CGAL that may have addressed this issue or consider alternative libraries with robust input validation. 7) For software vendors embedding CGAL, conduct thorough security reviews and consider backporting fixes or implementing custom bounds checks around vulnerable code paths.
Affected Countries
Germany, France, United Kingdom, Italy, Netherlands, Sweden, Finland, Belgium, Spain, Switzerland
CVE-2020-28601: CWE-129: Improper Validation of Array Index in 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_2/PM_io_parser.h PM_io_parser::read_vertex() Face_of[] OOB read. An attacker can provide malicious input to trigger this vulnerability.
AI-Powered Analysis
Technical Analysis
CVE-2020-28601 is a medium-severity vulnerability affecting the Computational Geometry Algorithms Library (CGAL), specifically version 5.1.1 of the libcgal component. The vulnerability arises from improper validation of array indices (CWE-129) in the Nef polygon-parsing functionality, particularly within the PM_io_parser::read_vertex() function in the Nef_2 module. This function processes polygon data and uses an array named Face_of[]. Due to insufficient bounds checking, an attacker can supply maliciously crafted input that triggers an out-of-bounds (OOB) read on the Face_of[] array. While the vulnerability is an OOB read rather than a write, it can lead to unintended disclosure of memory contents, potentially leaking sensitive information or causing undefined behavior. In some contexts, such memory corruption can be leveraged to execute arbitrary code, although no known exploits are currently reported in the wild. The vulnerability does not require authentication but does require the attacker to provide specially crafted input to the vulnerable polygon parsing functionality. CGAL is widely used in computational geometry applications, CAD software, scientific computing, and other domains requiring geometric computations. The vulnerability is specific to the parsing of Nef polygons, which are a complex polygon representation used in advanced geometric operations.
Potential Impact
For European organizations, the impact of CVE-2020-28601 depends largely on the extent to which CGAL 5.1.1 is integrated into their software stacks, particularly in industries such as engineering, CAD design, scientific research, and manufacturing. Exploitation could lead to unauthorized disclosure of memory contents, potentially exposing sensitive geometric data or intellectual property. In environments where CGAL is used in automated pipelines or exposed services that parse polygon data from untrusted sources, attackers could trigger this vulnerability remotely. Although no known exploits exist, the potential for code execution or denial of service exists if the vulnerability is chained with other bugs. This could disrupt critical design or manufacturing processes, leading to operational downtime and financial loss. The vulnerability's impact on confidentiality and availability is moderate, while integrity impact is limited unless combined with other vulnerabilities. European organizations in sectors such as aerospace, automotive, and industrial design, which rely heavily on computational geometry, may face higher risk. Additionally, organizations providing software development tools or libraries that incorporate CGAL could inadvertently distribute vulnerable components, increasing the attack surface.
Mitigation Recommendations
To mitigate CVE-2020-28601, organizations should first identify all instances of CGAL 5.1.1 usage within their software environments, including third-party applications and internal tools. Since no official patch or update is currently linked, users should consider the following practical steps: 1) Implement input validation and sanitization on all polygon data inputs before they reach the CGAL parsing routines, rejecting or sanitizing malformed or suspicious polygon data. 2) Employ runtime memory protection mechanisms such as AddressSanitizer or similar tools during development and testing to detect out-of-bounds accesses. 3) Isolate or sandbox components that process untrusted polygon data to limit the impact of potential exploitation. 4) Monitor logs and application behavior for anomalies indicative of exploitation attempts, such as crashes or unexpected memory access errors. 5) Engage with the CGAL community or maintainers to track the release of official patches or updates addressing this vulnerability. 6) Where feasible, upgrade to later versions of CGAL that may have addressed this issue or consider alternative libraries with robust input validation. 7) For software vendors embedding CGAL, conduct thorough security reviews and consider backporting fixes or implementing custom bounds checks around vulnerable code paths.
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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: 682d9840c4522896dcbf16ff
Added to database: 5/21/2025, 9:09:20 AM
Last enriched: 6/24/2025, 1:41:34 AM
Last updated: 7/29/2025, 5:17:00 AM
Views: 14
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