CVE-2017-14531 in ImageMagick
Summary
by MITRE
ImageMagick 7.0.7-0 has a memory exhaustion issue in ReadSUNImage in coders/sun.c.
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Analysis
by VulDB Data Team • 09/11/2024
The vulnerability identified as CVE-2017-14531 represents a critical memory exhaustion flaw within ImageMagick version 7.0.7-0, specifically affecting the ReadSUNImage function located in the coders/sun.c source file. This issue arises during the processing of SUN raster image format files, which are commonly used for storing bitmap images in Sun Microsystems environments. The flaw manifests when the application attempts to parse malformed or specially crafted SUN image files that trigger excessive memory allocation behaviors, potentially leading to system instability or resource exhaustion.
The technical implementation of this vulnerability stems from inadequate input validation and memory management within the SUN image reader component. When ImageMagick encounters a SUN file with malformed dimensions or header values, the ReadSUNImage function fails to properly constrain memory allocation requests, allowing attackers to craft malicious files that cause the application to consume excessive system resources. This behavior aligns with CWE-400, which categorizes unchecked resource allocation as a significant vulnerability pattern. The flaw operates at the boundary between input processing and memory management, where insufficient bounds checking permits uncontrolled memory consumption that can be exploited through crafted file inputs.
The operational impact of CVE-2017-14531 extends beyond simple denial of service scenarios, as it can be leveraged in broader attack vectors within systems that utilize ImageMagick for image processing. Attackers can exploit this vulnerability by uploading malicious SUN image files to web applications that process user-uploaded content, potentially causing memory exhaustion on the target system. This vulnerability particularly affects web applications, content management systems, and any platform that relies on ImageMagick for image manipulation, making it a significant concern for organizations operating in environments where untrusted image files are processed. The memory exhaustion can lead to application crashes, system slowdowns, or even complete system resource exhaustion that may affect other running processes.
Mitigation strategies for this vulnerability should focus on immediate patching of ImageMagick to versions that address the memory allocation issues in the SUN image reader. Organizations should implement strict input validation and file type checking for all image uploads, particularly for formats that are processed by ImageMagick. The implementation of resource limits and memory constraints on image processing services can provide additional defense-in-depth measures. Security practitioners should also consider implementing sandboxing mechanisms for image processing operations and monitoring for unusual memory consumption patterns that may indicate exploitation attempts. This vulnerability demonstrates the importance of proper resource management in image processing libraries and aligns with ATT&CK technique T1499, which covers resource exhaustion attacks targeting system resources through malicious file processing operations.