CVE-2022-35018 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-2022-35018 affects Advancecomp version 2.3 and represents a critical segmentation fault issue that can lead to arbitrary code execution or system instability. This flaw manifests when the application processes malformed input files, specifically targeting the decompression functionality within the toolset. The segmentation fault occurs due to improper memory management during the handling of compressed data structures, creating a potential attack surface for malicious actors who could exploit this weakness to disrupt system operations or gain unauthorized access to affected systems.
The technical root cause of this vulnerability stems from inadequate input validation and memory boundary checking within the decompression routines of Advancecomp. When the application encounters specially crafted compressed files that contain malformed headers or corrupted data structures, the decompression process fails to properly validate buffer boundaries before attempting to read or write memory regions. This deficiency allows for buffer overflows or invalid memory access patterns that ultimately result in segmentation faults. The vulnerability aligns with CWE-125, which describes out-of-bounds read conditions, and CWE-787, which covers out-of-bounds write vulnerabilities that can lead to memory corruption and system instability.
From an operational perspective, this vulnerability poses significant risks to organizations that rely on Advancecomp for image optimization and compression tasks. The segmentation fault can cause complete application crashes, leading to denial of service conditions that disrupt legitimate user activities and automated workflows. In environments where Advancecomp is integrated into larger systems or used in automated processing pipelines, such faults can cascade into broader operational failures, potentially affecting multiple services or applications that depend on stable image processing capabilities. The impact extends beyond simple crashes as attackers could potentially leverage this weakness to execute malicious code, particularly in scenarios where the application runs with elevated privileges or processes untrusted input from external sources.
The exploitation of this vulnerability follows patterns consistent with the attack techniques described in the MITRE ATT&CK framework under the T1203 category, which covers legitimate credentials and T1059 command and scripting interpreter techniques. Attackers could craft malicious compressed files designed to trigger the segmentation fault during normal processing operations, potentially leading to system compromise or service disruption. Organizations should consider implementing defensive measures such as input sanitization, restricted file processing, and application sandboxing to mitigate the risk of exploitation. Additionally, the vulnerability highlights the importance of regular security updates and patch management processes, as the issue was resolved in subsequent versions of Advancecomp through improved memory management and input validation mechanisms.
Mitigation strategies for CVE-2022-35018 should include immediate deployment of updated Advancecomp versions that contain proper memory boundary checks and input validation routines. System administrators should implement network segmentation to limit access to systems running Advancecomp and establish monitoring procedures to detect unusual application behavior or crash patterns that might indicate exploitation attempts. Regular security assessments should be conducted to identify other potentially vulnerable applications within the environment, as similar memory corruption vulnerabilities are common in compression and decompression tools. The vulnerability also underscores the need for comprehensive security testing of third-party tools, particularly those handling untrusted input data, to prevent similar issues from compromising overall system security posture.