CVE-2021-34307 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 read past the end of an allocated buffer. An attacker could leverage this vulnerability to leak information in the context of the current process. (ZDI-CAN-13343)
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Analysis
by VulDB Data Team • 07/16/2021
The vulnerability CVE-2021-34307 represents a critical out of bounds read flaw within the Tiff_Loader.dll library used by JT2Go and Teamcenter Visualization applications. This issue affects all versions prior to V13.2 and stems from insufficient input validation during TIFF file parsing operations. The flaw manifests when the application processes user-supplied TIFF data without proper boundary checks, creating opportunities for memory access violations that could expose sensitive information from the application's memory space.
This vulnerability falls under the CWE-125 Out-of-Bounds Read classification, which is categorized under the Common Weakness Enumeration framework as a fundamental memory safety issue. The technical implementation involves the Tiff_Loader.dll component failing to validate buffer boundaries when processing TIFF file structures, particularly during the parsing of image metadata and pixel data. When maliciously crafted TIFF files are processed, the library attempts to read memory locations beyond the allocated buffer boundaries, potentially exposing heap contents, stack data, or other process memory segments.
The operational impact of this vulnerability extends beyond simple information disclosure, as it creates potential pathways for further exploitation within the application context. An attacker who successfully leverages this flaw could potentially extract sensitive data such as cryptographic keys, session tokens, or other confidential information stored in the application's memory space. The vulnerability operates at the application level and requires user interaction through file processing, making it particularly dangerous in environments where untrusted TIFF files might be encountered during normal operations. This type of vulnerability aligns with ATT&CK technique T1059.007 for application execution and T1566 for malicious file delivery through social engineering.
Mitigation strategies for CVE-2021-34307 should prioritize immediate patch deployment for JT2Go and Teamcenter Visualization applications to version V13.2 or later where the vulnerability has been addressed. Organizations should implement strict file validation policies that prevent processing of untrusted TIFF files, particularly in environments where users might encounter external content. Network-based controls including web application firewalls and content filtering systems can help prevent the delivery of malicious TIFF files to vulnerable systems. Additionally, security teams should conduct comprehensive vulnerability assessments of all systems running these applications and implement monitoring to detect potential exploitation attempts. The remediation process should also include user education regarding the risks of processing untrusted files and the importance of maintaining current software versions. Organizations should also consider implementing sandboxing techniques for TIFF file processing and establishing incident response procedures specifically tailored to address potential information disclosure events resulting from this class of vulnerability.