CVE-2021-34308 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 BMP_Loader.dll library in affected applications lacks proper validation of user-supplied data when parsing BMP 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-13344)
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Analysis
by VulDB Data Team • 07/16/2021
The vulnerability CVE-2021-34308 represents a critical security flaw in JT2Go and Teamcenter Visualization software versions prior to V13.2, specifically within the BMP_Loader.dll library component. This issue stems from inadequate input validation mechanisms when processing BMP image files, creating a pathway for malicious exploitation through buffer over-read conditions. The vulnerability manifests when the application parses user-supplied BMP files without sufficient bounds checking, allowing an attacker to manipulate the parsing process and access memory regions beyond the intended buffer boundaries.
The technical implementation of this vulnerability falls under CWE-125, which describes out-of-bounds read conditions where programs access memory locations beyond the allocated buffer limits. When the BMP_Loader.dll processes malformed BMP files, it fails to properly validate the file structure and dimensions before attempting to read pixel data. This deficiency enables attackers to craft specially formatted BMP files that trigger memory access violations, potentially leading to information disclosure. The vulnerability operates at the application level where the parsing logic does not adequately sanitize input parameters, particularly concerning image width and height values that directly influence buffer allocation sizes.
The operational impact of this vulnerability extends beyond simple information disclosure, as it provides attackers with potential access to sensitive data within the application's memory space. An attacker could leverage this weakness to extract memory contents including but not limited to application configuration data, user credentials, or other sensitive information processed by the visualization software. The attack vector requires the victim to open or process a malicious BMP file, making this a typical client-side exploitation scenario that aligns with ATT&CK technique T1059.007 for command and scripting interpreter. The vulnerability's exploitation potential is significant because it operates within the context of the currently running process, potentially enabling further escalation if the application has elevated privileges or access to sensitive system resources.
Mitigation strategies for CVE-2021-34308 should prioritize immediate software updates to versions V13.2 or later where the vulnerability has been addressed through proper input validation and buffer boundary checks. Organizations should implement network-level controls to restrict the processing of BMP files from untrusted sources, utilizing file type filtering and content validation mechanisms. Security teams should conduct comprehensive vulnerability assessments to identify all instances of affected software across their infrastructure and establish monitoring protocols for suspicious file processing activities. Additionally, implementing application whitelisting and sandboxing techniques can limit the potential impact of exploitation attempts, while regular security audits should verify that input validation mechanisms are properly enforced throughout the application's image processing pipeline. The fix typically involves strengthening the BMP file parser to validate all header fields and dimensions before allocating memory buffers, ensuring that any malformed input triggers appropriate error handling rather than memory access violations.