CVE-2020-6067 in ImageGear
Summary
by MITRE
An exploitable out-of-bounds write vulnerability exists in the igcore19d.dll TIFF tifread parser of the Accusoft ImageGear 19.5.0 library. A specially crafted TIFF file can cause an out-of-bounds write, resulting in a remote code execution. An attacker needs to provide a malformed file to the victim to trigger the vulnerability.
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Analysis
by VulDB Data Team • 03/30/2024
The vulnerability identified as CVE-2020-6067 represents a critical security flaw within the Accusoft ImageGear 19.5.0 library, specifically affecting the igcore19d.dll component responsible for processing TIFF image files. This out-of-bounds write vulnerability resides within the TIFF tifread parser implementation, creating a potential pathway for remote code execution attacks that could compromise systems processing these image files. The flaw demonstrates the inherent risks associated with image processing libraries that handle untrusted input without proper boundary checking mechanisms.
Technical exploitation of this vulnerability occurs through the manipulation of TIFF file structures that cause the parser to write data beyond allocated memory boundaries. When a malformed TIFF file is processed by the vulnerable library, the tifread parser fails to validate array indices or buffer limits, allowing malicious data to overwrite adjacent memory locations. This memory corruption can lead to arbitrary code execution, as attackers can manipulate the overwritten memory to redirect program execution flow. The vulnerability specifically targets the TIFF file format parsing logic where the parser does not properly validate the size of image data structures before attempting to read or write into memory buffers.
The operational impact of CVE-2020-6067 extends beyond simple privilege escalation, as it enables remote code execution in applications that utilize the Accusoft ImageGear library for image processing. Systems running applications that process TIFF files, such as document management systems, image viewers, or web applications handling user-uploaded images, become vulnerable to exploitation. The attack requires minimal user interaction beyond the mere presentation of a malicious file, making it particularly dangerous in environments where automated processing or user-uploaded content is common. This vulnerability aligns with CWE-787, which describes out-of-bounds write conditions that can lead to memory corruption and arbitrary code execution.
Mitigation strategies for this vulnerability should include immediate patching of the Accusoft ImageGear library to version 19.5.1 or later, which contains the necessary fixes for the buffer overflow conditions. Organizations should also implement input validation measures that filter or reject suspicious TIFF files before they reach the vulnerable parser component. Network segmentation and application whitelisting can provide additional defense-in-depth layers to prevent exploitation attempts. The vulnerability demonstrates the importance of secure coding practices and proper memory management in image processing libraries, as highlighted by ATT&CK technique T1203, which covers exploitation of software vulnerabilities for privilege escalation and code execution. System administrators should also consider implementing monitoring for unusual file processing patterns that might indicate exploitation attempts.