CVE-2020-28618: 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_vertex() vh->shalfloop().
AI Analysis
Technical Summary
CVE-2020-28618 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 vulnerability arises due to improper validation of array indices (CWE-129) during the parsing of polygon data, leading to out-of-bounds (OOB) reads and type confusion errors. These issues occur in the SNC_io_parser<EW>::read_vertex() function, particularly when accessing the vertex handle's associated half-loop (vh->shalfloop()). An attacker can exploit this by crafting a malformed polygon file that triggers these parsing errors. The OOB read can cause memory corruption or leakage of sensitive information, while the type confusion can potentially be leveraged to execute arbitrary code within the context of the vulnerable application. Since the vulnerability is triggered by processing malicious input files, exploitation requires the target system to parse or load untrusted polygon data using libcgal 5.1.1. No known public exploits have been reported in the wild, and no official patches are linked in the provided data, indicating that remediation may require manual updates or workarounds. The vulnerability impacts confidentiality, integrity, and availability by enabling code execution or crashes, depending on exploitation success. The attack vector is local or remote depending on whether the vulnerable software processes files from untrusted sources. No authentication or user interaction is explicitly required beyond supplying the malicious input file.
Potential Impact
For European organizations, the impact of CVE-2020-28618 depends largely on the usage of CGAL's libcgal library within their software stack. CGAL is widely used in computational geometry applications, CAD software, scientific research, and engineering tools. Organizations in sectors such as aerospace, automotive, manufacturing, and academia may rely on software incorporating libcgal. Successful exploitation could lead to arbitrary code execution, allowing attackers to compromise systems, steal intellectual property, disrupt operations, or pivot within networks. This is particularly critical for organizations handling sensitive design data or intellectual property. Additionally, denial-of-service conditions caused by crashes could interrupt critical workflows. Since CGAL is a specialized library, the threat surface is narrower compared to more ubiquitous software, but the potential impact on high-value targets in engineering and research is significant. European organizations involved in advanced manufacturing or research collaborations may be at higher risk if they process untrusted polygon data or share files across networks without validation.
Mitigation Recommendations
1. Update libcgal to a version later than 5.1.1 where this vulnerability is addressed, or apply any vendor-supplied patches as soon as they become available. 2. Implement strict input validation and sanitization on all polygon data files before processing, including rejecting malformed or suspicious files. 3. Employ sandboxing or containerization for applications that parse polygon files to limit the impact of potential exploitation. 4. Monitor and restrict the sources of polygon files, avoiding processing files from untrusted or unknown origins. 5. Conduct code audits and static analysis on software components using libcgal to identify and remediate unsafe usage patterns. 6. Use runtime protections such as Address Space Layout Randomization (ASLR), Data Execution Prevention (DEP), and Control Flow Integrity (CFI) to mitigate exploitation impact. 7. Educate developers and users about the risks of processing untrusted polygon data and enforce secure file handling policies. 8. If patching is not immediately feasible, consider disabling or restricting the Nef polygon-parsing functionality in libcgal where possible.
Affected Countries
Germany, France, United Kingdom, Italy, Netherlands, Sweden, Belgium, Spain, Finland, Austria
CVE-2020-28618: 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_vertex() vh->shalfloop().
AI-Powered Analysis
Technical Analysis
CVE-2020-28618 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 vulnerability arises due to improper validation of array indices (CWE-129) during the parsing of polygon data, leading to out-of-bounds (OOB) reads and type confusion errors. These issues occur in the SNC_io_parser<EW>::read_vertex() function, particularly when accessing the vertex handle's associated half-loop (vh->shalfloop()). An attacker can exploit this by crafting a malformed polygon file that triggers these parsing errors. The OOB read can cause memory corruption or leakage of sensitive information, while the type confusion can potentially be leveraged to execute arbitrary code within the context of the vulnerable application. Since the vulnerability is triggered by processing malicious input files, exploitation requires the target system to parse or load untrusted polygon data using libcgal 5.1.1. No known public exploits have been reported in the wild, and no official patches are linked in the provided data, indicating that remediation may require manual updates or workarounds. The vulnerability impacts confidentiality, integrity, and availability by enabling code execution or crashes, depending on exploitation success. The attack vector is local or remote depending on whether the vulnerable software processes files from untrusted sources. No authentication or user interaction is explicitly required beyond supplying the malicious input file.
Potential Impact
For European organizations, the impact of CVE-2020-28618 depends largely on the usage of CGAL's libcgal library within their software stack. CGAL is widely used in computational geometry applications, CAD software, scientific research, and engineering tools. Organizations in sectors such as aerospace, automotive, manufacturing, and academia may rely on software incorporating libcgal. Successful exploitation could lead to arbitrary code execution, allowing attackers to compromise systems, steal intellectual property, disrupt operations, or pivot within networks. This is particularly critical for organizations handling sensitive design data or intellectual property. Additionally, denial-of-service conditions caused by crashes could interrupt critical workflows. Since CGAL is a specialized library, the threat surface is narrower compared to more ubiquitous software, but the potential impact on high-value targets in engineering and research is significant. European organizations involved in advanced manufacturing or research collaborations may be at higher risk if they process untrusted polygon data or share files across networks without validation.
Mitigation Recommendations
1. Update libcgal to a version later than 5.1.1 where this vulnerability is addressed, or apply any vendor-supplied patches as soon as they become available. 2. Implement strict input validation and sanitization on all polygon data files before processing, including rejecting malformed or suspicious files. 3. Employ sandboxing or containerization for applications that parse polygon files to limit the impact of potential exploitation. 4. Monitor and restrict the sources of polygon files, avoiding processing files from untrusted or unknown origins. 5. Conduct code audits and static analysis on software components using libcgal to identify and remediate unsafe usage patterns. 6. Use runtime protections such as Address Space Layout Randomization (ASLR), Data Execution Prevention (DEP), and Control Flow Integrity (CFI) to mitigate exploitation impact. 7. Educate developers and users about the risks of processing untrusted polygon data and enforce secure file handling policies. 8. If patching is not immediately feasible, consider disabling or restricting the Nef polygon-parsing functionality in libcgal where possible.
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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: 682d9842c4522896dcbf2a32
Added to database: 5/21/2025, 9:09:22 AM
Last enriched: 6/23/2025, 12:50:45 PM
Last updated: 8/13/2025, 11:19:47 AM
Views: 16
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