CVE-2022-35019 in Advancecomp
Summary
by MITRE • 08/29/2022
Advancecomp v2.3 was discovered to contain a segmentation fault.
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Analysis
by VulDB Data Team • 06/14/2026
The vulnerability identified as CVE-2022-35019 affects Advancecomp version 2.3, a utility suite designed for optimizing various file formats including jpeg and png images. This particular flaw manifests as a segmentation fault, representing a critical memory access violation that can cause the application to crash unexpectedly. The issue occurs when the software processes malformed or specially crafted input files that trigger improper memory handling within the program's execution flow. Segmentation faults typically arise when an application attempts to access memory locations that it is not authorized to access, or when it tries to write to memory that is read-only, making this a classic example of a memory safety vulnerability that can potentially be exploited by malicious actors.
The technical nature of this vulnerability places it within the scope of CWE-125, which addresses out-of-bounds read conditions, and CWE-119, which covers weak buffer access. The segmentation fault in Advancecomp likely stems from inadequate input validation and bounds checking within the image processing routines. When the utility encounters malformed input data during decompression or optimization operations, it fails to properly validate the data structure before attempting to access memory regions, leading to the crash. This type of vulnerability can be particularly dangerous in automated environments where Advancecomp might be invoked as part of a larger processing pipeline, as it could cause cascading failures or be leveraged in denial-of-service attacks against systems that rely on this tool.
From an operational perspective, this vulnerability presents significant risks to systems that depend on Advancecomp for image optimization tasks. Attackers could potentially craft malicious image files that, when processed by the vulnerable version, would cause the application to crash and terminate unexpectedly. This could lead to denial-of-service conditions where legitimate users cannot process their images, or more concerning, it might be possible to exploit the memory corruption to achieve arbitrary code execution depending on the specific memory layout and compiler protections in place. The vulnerability particularly impacts web applications, content management systems, and automated image processing workflows that utilize Advancecomp as part of their backend operations, creating potential attack vectors through user-uploaded content.
Mitigation strategies for CVE-2022-35019 should prioritize immediate software updates to the latest stable version of Advancecomp where the segmentation fault has been addressed through proper input validation and memory management. System administrators should implement comprehensive input sanitization measures when processing user-uploaded files, including file type verification and size limits to prevent malformed inputs from reaching the optimization utilities. Network segmentation and access controls can help limit the potential impact of any exploitation attempts, while implementing application whitelisting policies can prevent unauthorized versions of the software from executing. Additionally, organizations should consider deploying intrusion detection systems that can monitor for abnormal application behavior patterns that might indicate exploitation attempts. The vulnerability also highlights the importance of regular security assessments and maintaining up-to-date software inventories to quickly identify and remediate similar issues across the enterprise infrastructure.