CVE-2021-34310 in JT2Go
Summary
by MITRE • 07/13/2021
A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The Tiff_loader.dll library in affected applications lacks proper validation of user-supplied data when parsing TIFF files. This could result in an out of bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13351)
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Analysis
by VulDB Data Team • 07/16/2021
The vulnerability identified as CVE-2021-34310 represents a critical security flaw affecting JT2Go and Teamcenter Visualization software versions prior to V13.2. This issue resides within the Tiff_loader.dll library which is responsible for processing TIFF image files within these applications. The vulnerability stems from inadequate input validation mechanisms that fail to properly sanitize user-supplied data during TIFF file parsing operations. Security researchers have classified this as an out-of-bounds write condition that occurs when the application attempts to write data beyond the boundaries of allocated memory structures. This fundamental flaw in memory management creates an exploitable condition that can be leveraged by malicious actors to gain unauthorized code execution privileges.
The technical implementation of this vulnerability demonstrates a classic buffer overflow scenario where the Tiff_loader.dll library does not adequately validate the dimensions or structure of TIFF files provided by users. When processing malformed TIFF files, the library fails to perform proper bounds checking on array indices or memory allocation sizes, leading to memory corruption that can be exploited through carefully crafted input data. The vulnerability specifically manifests as an out-of-bounds write operation that extends beyond allocated memory boundaries, potentially overwriting adjacent memory locations with attacker-controlled data. This type of flaw falls under CWE-121 which categorizes buffer overflow conditions, and more specifically aligns with CWE-787 which addresses out-of-bounds write vulnerabilities. The exploitation of this condition allows an attacker to execute arbitrary code within the security context of the currently running process, effectively bypassing normal access controls and permissions.
The operational impact of CVE-2021-34310 extends beyond simple code execution capabilities as it represents a severe privilege escalation vector within the targeted applications. Attackers who successfully exploit this vulnerability can potentially gain complete control over the affected system, as the code execution occurs within the same security context as the vulnerable application. This means that if the application runs with elevated privileges, the attacker could potentially achieve system-level access. The vulnerability is particularly concerning in enterprise environments where Teamcenter Visualization and JT2Go are commonly used for CAD data processing and visualization, as these applications often handle sensitive design and engineering data. The attack surface is expanded by the fact that TIFF files are commonly used in engineering workflows, making it relatively easy for attackers to deliver malicious payloads through seemingly benign image files. This vulnerability directly maps to ATT&CK technique T1059.007 which covers execution through scriptlets and T1203 which addresses exploitation of remote services, making it a significant threat in both local and network-based attack scenarios.
Organizations utilizing affected software versions should implement immediate mitigations to address this vulnerability. The primary recommended action involves upgrading to JT2Go V13.2 or Teamcenter Visualization V13.2, which contain patched versions of the Tiff_loader.dll library with proper input validation mechanisms. System administrators should also consider implementing additional security controls such as file type restrictions, sandboxing of image processing operations, and network segmentation to limit potential attack vectors. Input validation should be enhanced at multiple levels including application-level checks, file format validation, and implementation of secure coding practices that prevent buffer overflow conditions. Security monitoring should be enhanced to detect suspicious file processing activities, particularly when dealing with TIFF files from untrusted sources. Regular security assessments and penetration testing should be conducted to identify potential exploitation attempts, and incident response procedures should be updated to address potential exploitation of this vulnerability. The remediation process should also include comprehensive testing of patched applications to ensure that the security fixes do not introduce regressions or compatibility issues in existing workflows.