CVE-2021-34313 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 fixed-length heap-based buffer. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-13354)
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Analysis
by VulDB Data Team • 07/16/2021
The vulnerability CVE-2021-34313 represents a critical buffer overflow flaw in the Tiff_loader.dll library component of JT2Go and Teamcenter Visualization applications. This issue affects all versions prior to V13.2 and stems from inadequate input validation during TIFF file parsing operations. The flaw manifests as an out-of-bounds write condition that occurs when the library processes user-supplied TIFF data without proper bounds checking against a fixed-length heap-based buffer. The vulnerability falls under CWE-121 which specifically addresses stack buffer overflow conditions and CWE-787 which covers out-of-bounds write vulnerabilities. From an operational perspective this represents a severe security risk as it allows remote code execution within the context of the currently running process, effectively providing attackers with full control over the affected application's execution environment.
The technical exploitation of this vulnerability requires an attacker to craft a malicious TIFF file that, when processed by the vulnerable applications, triggers the buffer overflow condition. The heap-based nature of the affected buffer means that the overflow occurs in dynamically allocated memory rather than on the stack, making the exploitation more complex but still highly dangerous. The out-of-bounds write can overwrite adjacent memory locations, potentially corrupting critical data structures or even allowing the attacker to inject and execute arbitrary code. This vulnerability directly maps to ATT&CK technique T1059.007 which covers command and scripting interpreter usage and T1203 which addresses exploitation for execution through the manipulation of application input. The attack surface is particularly concerning given that these applications are commonly used in engineering and visualization environments where users frequently open files from untrusted sources.
The operational impact of this vulnerability extends beyond immediate code execution capabilities to encompass potential system compromise and data exfiltration. When an attacker successfully exploits this vulnerability, they gain the ability to execute arbitrary code with the privileges of the compromised application process, which could lead to further lateral movement within the network. The vulnerability affects applications that are typically used in enterprise environments where sensitive engineering data and intellectual property reside, making the potential impact substantial. Organizations using these applications should immediately implement mitigation strategies including applying the vendor-provided patches, implementing network segmentation to limit access to these applications, and monitoring for suspicious file operations. Additionally, input validation controls should be enhanced to prevent processing of untrusted TIFF files, and application whitelisting measures should be considered to restrict which applications can process image files. The vulnerability highlights the importance of proper input validation and memory safety practices in software development, particularly for libraries that handle untrusted data formats.