CVE-2020-28628: CWE-129: Improper Validation of Array Index in CGAL Project libcgal
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_volume() seh->twin().
AI Analysis
Technical Summary
CVE-2020-28628 is a medium-severity vulnerability affecting version 5.1.1 of the CGAL Project's libcgal library, specifically within the Nef polygon-parsing functionality. The root cause is an improper validation of array indices (CWE-129) in the code handling polygon data structures, particularly in the Nef_S2/SNC_io_parser.h file within the read_volume() function. This flaw allows an attacker to craft a malformed polygon file that triggers out-of-bounds (OOB) reads and type confusion errors. These memory safety issues can potentially be exploited to achieve arbitrary code execution. The vulnerability arises because the parser does not adequately verify that array indices used during polygon parsing are within valid bounds, leading to memory corruption. An attacker can exploit this by supplying malicious input files to applications or systems that utilize libcgal for polygon processing. Although no known exploits are currently reported in the wild, the vulnerability poses a risk to any software relying on libcgal 5.1.1 for geometric computations involving Nef polygons. The lack of a patch link suggests that remediation may require upgrading to a later, fixed version or applying vendor-provided fixes once available. The vulnerability does not require authentication but does require the victim system to process attacker-controlled polygon files, implying some level of user or system interaction with untrusted input. The technical complexity of crafting a working exploit is moderate due to the need to manipulate polygon data structures precisely to trigger the OOB read and type confusion conditions.
Potential Impact
For European organizations, the impact of this vulnerability depends largely on the extent to which libcgal 5.1.1 is embedded within their software stacks, particularly in industries that rely on computational geometry such as CAD/CAM, GIS, manufacturing, and scientific research. Successful exploitation could lead to arbitrary code execution, compromising confidentiality, integrity, and availability of affected systems. This could result in unauthorized access to sensitive design data, disruption of critical engineering workflows, or the introduction of malicious code into trusted environments. Given the specialized nature of CGAL and its use in niche applications, the overall impact is likely limited to organizations with direct dependencies on this library. However, supply chain risks exist if libcgal is included in third-party software used by European enterprises. The absence of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits targeting this vulnerability. The medium severity rating reflects a moderate risk profile, balancing the technical difficulty of exploitation and the potential for significant damage in targeted environments.
Mitigation Recommendations
European organizations should first inventory their software assets to identify any usage of libcgal version 5.1.1, particularly in applications handling polygon data. Where possible, upgrade to a newer, patched version of CGAL that addresses this vulnerability. If an official patch is not yet available, consider applying vendor-provided workarounds or disabling features that parse untrusted polygon files. Implement strict input validation and sanitization for all polygon data inputs to prevent malformed files from reaching vulnerable code paths. Employ runtime protections such as Address Space Layout Randomization (ASLR), Data Execution Prevention (DEP), and control flow integrity (CFI) to mitigate exploitation attempts. Additionally, monitor network and application logs for anomalous file uploads or parsing errors indicative of exploitation attempts. For software developers using libcgal, conduct thorough code reviews and fuzz testing focused on polygon parsing routines to detect and remediate similar memory safety issues proactively. Finally, establish incident response plans that include steps for containment and remediation should exploitation be detected.
Affected Countries
Germany, France, United Kingdom, Italy, Netherlands, Sweden, Finland, Belgium, Spain, Poland
CVE-2020-28628: CWE-129: Improper Validation of Array Index in CGAL Project 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_S2/SNC_io_parser.h SNC_io_parser<EW>::read_volume() seh->twin().
AI-Powered Analysis
Technical Analysis
CVE-2020-28628 is a medium-severity vulnerability affecting version 5.1.1 of the CGAL Project's libcgal library, specifically within the Nef polygon-parsing functionality. The root cause is an improper validation of array indices (CWE-129) in the code handling polygon data structures, particularly in the Nef_S2/SNC_io_parser.h file within the read_volume() function. This flaw allows an attacker to craft a malformed polygon file that triggers out-of-bounds (OOB) reads and type confusion errors. These memory safety issues can potentially be exploited to achieve arbitrary code execution. The vulnerability arises because the parser does not adequately verify that array indices used during polygon parsing are within valid bounds, leading to memory corruption. An attacker can exploit this by supplying malicious input files to applications or systems that utilize libcgal for polygon processing. Although no known exploits are currently reported in the wild, the vulnerability poses a risk to any software relying on libcgal 5.1.1 for geometric computations involving Nef polygons. The lack of a patch link suggests that remediation may require upgrading to a later, fixed version or applying vendor-provided fixes once available. The vulnerability does not require authentication but does require the victim system to process attacker-controlled polygon files, implying some level of user or system interaction with untrusted input. The technical complexity of crafting a working exploit is moderate due to the need to manipulate polygon data structures precisely to trigger the OOB read and type confusion conditions.
Potential Impact
For European organizations, the impact of this vulnerability depends largely on the extent to which libcgal 5.1.1 is embedded within their software stacks, particularly in industries that rely on computational geometry such as CAD/CAM, GIS, manufacturing, and scientific research. Successful exploitation could lead to arbitrary code execution, compromising confidentiality, integrity, and availability of affected systems. This could result in unauthorized access to sensitive design data, disruption of critical engineering workflows, or the introduction of malicious code into trusted environments. Given the specialized nature of CGAL and its use in niche applications, the overall impact is likely limited to organizations with direct dependencies on this library. However, supply chain risks exist if libcgal is included in third-party software used by European enterprises. The absence of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits targeting this vulnerability. The medium severity rating reflects a moderate risk profile, balancing the technical difficulty of exploitation and the potential for significant damage in targeted environments.
Mitigation Recommendations
European organizations should first inventory their software assets to identify any usage of libcgal version 5.1.1, particularly in applications handling polygon data. Where possible, upgrade to a newer, patched version of CGAL that addresses this vulnerability. If an official patch is not yet available, consider applying vendor-provided workarounds or disabling features that parse untrusted polygon files. Implement strict input validation and sanitization for all polygon data inputs to prevent malformed files from reaching vulnerable code paths. Employ runtime protections such as Address Space Layout Randomization (ASLR), Data Execution Prevention (DEP), and control flow integrity (CFI) to mitigate exploitation attempts. Additionally, monitor network and application logs for anomalous file uploads or parsing errors indicative of exploitation attempts. For software developers using libcgal, conduct thorough code reviews and fuzz testing focused on polygon parsing routines to detect and remediate similar memory safety issues proactively. Finally, establish incident response plans that include steps for containment and remediation should exploitation be detected.
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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: 682d9842c4522896dcbf2a76
Added to database: 5/21/2025, 9:09:22 AM
Last enriched: 6/23/2025, 12:36:14 PM
Last updated: 7/31/2025, 8:14:19 AM
Views: 13
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