CVE-2021-34304 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-13199)
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Analysis
by VulDB Data Team • 07/16/2021
This vulnerability exists within the Tiff_Loader.dll library component of JT2Go and Teamcenter Visualization applications, specifically affecting versions prior to V13.2. The flaw represents a classic buffer over-read condition that occurs when the application processes TIFF image files without adequate input validation. The vulnerability stems from insufficient bounds checking during the parsing of TIFF file structures, where the software fails to properly validate the size and content of user-supplied data before attempting to read from allocated memory buffers. This type of vulnerability falls under CWE-125, which specifically addresses out-of-bounds read conditions, and demonstrates poor input validation practices that have been documented as a common weakness in software security implementations.
The technical exploitation of this vulnerability allows an attacker to craft malicious TIFF files that, when processed by the affected applications, trigger memory access violations that result in information leakage. When the Tiff_Loader.dll attempts to parse malformed TIFF data, it reads beyond the boundaries of allocated memory regions, potentially exposing sensitive data from adjacent memory locations. This information disclosure can include stack contents, heap data, or other process memory segments that may contain credentials, encryption keys, or other confidential information. The vulnerability operates at the application level and requires user interaction to be exploited, typically through opening or processing a specially crafted TIFF file. From an attack perspective, this aligns with ATT&CK technique T1059.007 for command and scripting interpreter, as the attacker could potentially leverage the leaked information to perform further exploitation or establish persistence within the system.
The operational impact of this vulnerability extends beyond simple information disclosure, as the leaked memory contents could provide attackers with sufficient information to conduct more sophisticated attacks such as heap spraying, bypassing address space layout randomization, or performing return-oriented programming attacks. The vulnerability affects both JT2Go and Teamcenter Visualization applications, which are commonly used in engineering and product design environments where sensitive intellectual property and proprietary designs are handled. Organizations using these applications face potential exposure of confidential design data, trade secrets, or other proprietary information that could be extracted through this memory leak. The vulnerability's exploitation requires minimal privileges and can be achieved through social engineering or automated attack vectors, making it particularly dangerous in enterprise environments where these applications are widely deployed.
Mitigation strategies should focus on immediate patching of affected applications to version V13.2 or later, where the buffer validation issues have been addressed. Organizations should also implement strict file validation policies, including MIME type checking and file extension validation, to prevent processing of untrusted TIFF files. Network-level controls such as content filtering and sandboxing of file attachments can provide additional defense-in-depth measures. Security monitoring should be enhanced to detect unusual file processing patterns or memory access behaviors that might indicate exploitation attempts. From a compliance perspective, this vulnerability could impact organizations subject to standards such as iso/iec 27001 or nist cybersecurity framework, as it represents a failure to maintain adequate input validation controls. The vulnerability also highlights the importance of proper software security practices including static code analysis, dynamic application security testing, and secure coding guidelines that address buffer management and input validation requirements.