CVE-2020-6065 in ImageGear
Summary
by MITRE
An exploitable out-of-bounds write vulnerability exists in the bmp_parsing function of the igcore19d.dll library of Accusoft ImageGear, version 19.5.0. A specially crafted BMP 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-2020-6065 represents a critical security flaw within the Accusoft ImageGear library, specifically in the igcore19d.dll component version 19.5.0. This issue manifests as an out-of-bounds write condition that can be exploited remotely, potentially allowing attackers to execute arbitrary code on affected systems. The vulnerability stems from insufficient input validation within the bmp_parsing function, which processes bitmap image files without adequate bounds checking mechanisms. When a maliciously crafted BMP file is processed by the vulnerable library, the parsing function fails to properly validate array indices or buffer boundaries, creating opportunities for memory corruption that can be leveraged by threat actors.
The technical implementation of this vulnerability falls under CWE-787, which specifically addresses out-of-bounds writes in software systems. The flaw occurs during the parsing of bitmap image formats where the software does not properly validate the dimensions or structure of the incoming BMP file before attempting to read or write data to memory locations. This type of vulnerability is particularly dangerous because it can be triggered through simple file manipulation without requiring complex exploitation techniques. The attack vector is classified as remote code execution since an attacker can deliver a malicious BMP file through various means such as email attachments, web downloads, or file sharing platforms, and simply having the victim open the file with an application that uses the vulnerable ImageGear library will trigger the exploit.
From an operational perspective, this vulnerability presents significant risk to organizations that rely on Accusoft ImageGear for image processing tasks, particularly in environments where users may encounter untrusted image files. The impact extends beyond simple code execution to potential system compromise, as successful exploitation can lead to full administrative control over affected systems. The vulnerability is particularly concerning in enterprise environments where email security solutions might not catch all malicious attachments, or in web applications that process user-uploaded images without proper sanitization. The attack surface is broad since many applications use the ImageGear library for image handling, making it a prime target for attackers seeking to gain unauthorized access to systems. Organizations running affected versions of the software are at risk of data breaches, system compromise, and potential lateral movement within their networks.
Mitigation strategies for CVE-2020-6065 should focus on immediate remediation through software updates from Accusoft, which would include patches addressing the bounds checking deficiencies in the bmp_parsing function. System administrators should implement strict file validation policies that prevent processing of unknown or untrusted image formats, particularly in high-risk environments. Network-based mitigations such as content filtering and email security solutions should be enhanced to detect and block potentially malicious image files. Additionally, organizations should consider implementing application whitelisting controls that restrict execution of vulnerable applications or libraries to minimize attack surface. The vulnerability highlights the importance of proper input validation and memory safety practices in image processing libraries, emphasizing the need for regular security assessments of third-party components used in critical applications. Organizations should also establish robust monitoring procedures to detect potential exploitation attempts and maintain up-to-date threat intelligence on similar vulnerabilities in image processing frameworks.