CVE-2022-32238 in 3D Visual Enterprise Viewer
Summary
by MITRE • 06/15/2022
When a user opens manipulated Encapsulated Post Script (.eps, ai.x3d) files received from untrusted sources in SAP 3D Visual Enterprise Viewer, the application crashes and becomes temporarily unavailable to the user until restart of the application.
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Analysis
by VulDB Data Team • 06/15/2022
The vulnerability identified as CVE-2022-32238 represents a critical denial of service condition within SAP 3D Visual Enterprise Viewer, a specialized application designed for viewing and interacting with three-dimensional visual content. This flaw manifests when the application processes maliciously crafted Encapsulated PostScript files with extensions .eps, .ai.x3d, which are commonly used for storing vector graphics and 3D models. The issue stems from inadequate input validation and error handling mechanisms within the viewer's file parsing routines, creating a scenario where legitimate user interactions with compromised files result in application instability. The vulnerability operates at the intersection of software security and user experience, as it transforms a routine file opening operation into a disruptive event that completely halts application functionality.
The technical root cause of this vulnerability lies in the application's failure to properly sanitize and validate file structures during the parsing process of PostScript-based formats. When encountering malformed or specially crafted EPS or AI files, the viewer's underlying rendering engine experiences unhandled exceptions that lead to process termination or severe memory corruption. This behavior aligns with CWE-129, which addresses improper validation of array indices and buffer overflows, and CWE-248, which covers exposure of exception information. The flaw demonstrates characteristics of a buffer overflow vulnerability where the application attempts to read or write beyond allocated memory boundaries when processing the malicious file structures, resulting in unpredictable application behavior and eventual crash conditions.
The operational impact of CVE-2022-32238 extends beyond simple application instability, creating significant business disruption for organizations relying on SAP 3D Visual Enterprise Viewer for design reviews, product visualization, and collaborative engineering workflows. Users encountering this vulnerability may experience complete loss of productivity during critical design phases, as the application becomes temporarily unavailable until manual restart is performed. This disruption is particularly severe in manufacturing and engineering environments where 3D visual data is frequently exchanged between teams and stakeholders. The vulnerability's exploitation requires minimal user interaction, as simply opening a malicious file triggers the crash, making it particularly dangerous in environments where file sharing occurs across untrusted networks or with external partners. From an attack perspective, this vulnerability maps to ATT&CK technique T1203, which covers legitimate user execution, as it leverages normal user behavior to execute malicious payloads that cause system instability.
Organizations should implement immediate mitigations including restricting file type access through network policies and application whitelisting to prevent execution of potentially malicious files. The recommended approach involves deploying security controls that filter or quarantine files with suspicious PostScript structures before they reach the viewer application. Additionally, regular updates and patches from SAP should be prioritized to address the underlying parsing vulnerabilities. Network segmentation and user access controls can help limit exposure by restricting which users can access potentially malicious files, while endpoint detection and response solutions can monitor for anomalous file processing patterns that may indicate exploitation attempts. The vulnerability serves as a reminder of the importance of input validation in multimedia applications and highlights the need for robust error handling mechanisms that can gracefully manage malformed input data without compromising system availability.