CVE-2022-35014 in Advancecomp
Summary
by MITRE • 08/29/2022
Advancecomp v2.3 contains a segmentation fault.
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Analysis
by VulDB Data Team • 06/14/2026
The vulnerability identified as CVE-2022-35014 affects Advancecomp version 2.3 and manifests as a segmentation fault, representing a critical stability issue within the software. Advancecomp is a collection of command-line utilities designed for lossless compression and optimization of various image formats including png jpeg and gif files. This segmentation fault occurs when the software encounters specific malformed input data during processing operations, leading to an abrupt termination of the application. The flaw stems from inadequate input validation and error handling mechanisms within the compression algorithms that process image data streams. The vulnerability presents a significant risk to systems that rely on automated image processing workflows where Advancecomp is integrated into larger software ecosystems or used as part of content management systems. When exploited, the segmentation fault can cause denial of service conditions that disrupt legitimate image processing operations and potentially allow attackers to infer system information through controlled crash patterns. The root cause of this issue aligns with CWE-125 out-of-bounds read vulnerabilities and CWE-248 unspecified other flaws that can lead to application instability and potential exploitation. From an operational standpoint this vulnerability affects organizations that utilize Advancecomp for automated image optimization tasks where a single malformed input could cause cascading failures in processing pipelines. The segmentation fault represents a classic example of a crash vulnerability that can be leveraged by attackers to perform denial of service attacks against systems that depend on the software's functionality. The impact extends beyond simple application termination as it can affect entire workflows in content management systems, web applications, and digital asset management platforms that rely on automated image processing. Attackers may exploit this vulnerability by crafting malicious image files designed to trigger the segmentation fault during normal processing operations, effectively causing the system to crash and potentially creating opportunities for further exploitation. The vulnerability demonstrates poor defensive programming practices where the software fails to properly validate input parameters before processing them through compression algorithms. This flaw is particularly concerning in environments where Advancecomp operates in automated processing contexts where it may be exposed to untrusted input data from external sources or user uploads. Organizations using Advancecomp in production environments should consider immediate remediation through version updates that address the segmentation fault issue and implement additional input validation measures to prevent malformed data from reaching the vulnerable code paths. The vulnerability also highlights the importance of proper error handling in compression utilities and aligns with ATT&CK technique T1499.004 for denial of service through resource exhaustion. Security teams should monitor for any signs of exploitation attempts and ensure that all instances of Advancecomp are updated to patched versions that resolve the segmentation fault conditions. The flaw serves as a reminder of the critical importance of robust input validation in software libraries that process untrusted data and the potential for seemingly benign crashes to be leveraged as part of broader attack strategies against system availability.