CVE-2014-9840 in ImageMagick
Summary
by MITRE
ImageMagick 6.8.9-9 allows remote attackers to cause a denial of service (out-of-bounds access) via a crafted palm file.
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Analysis
by VulDB Data Team • 12/05/2024
ImageMagick version 6.8.9-9 contains a critical out-of-bounds memory access vulnerability that manifests when processing specially crafted palm image files. This vulnerability represents a classic buffer overflow condition where the software fails to properly validate input file boundaries before attempting to read or write memory locations beyond the allocated buffer space. The flaw occurs during the parsing of palm image format metadata, specifically when the software attempts to process malformed header information that contains incorrect dimension values or corrupted data structures.
The technical implementation of this vulnerability stems from insufficient bounds checking within the image processing pipeline of ImageMagick. When a maliciously crafted palm file is processed, the software's parser reads header information without adequate validation of array indices or memory allocation limits. This allows an attacker to manipulate the parsing logic into accessing memory locations that were not intended to be accessed, potentially leading to memory corruption and system instability. The vulnerability is particularly dangerous because it can be triggered remotely through web applications or services that utilize ImageMagick for image processing, making it a prime target for denial of service attacks.
From an operational perspective, this vulnerability creates significant risks for organizations that rely on ImageMagick for image handling in web applications, content management systems, or file processing services. An attacker could exploit this vulnerability by uploading or submitting a crafted palm file to any system that processes images through ImageMagick, resulting in application crashes, service interruptions, or potentially more severe consequences depending on the execution environment. The out-of-bounds access condition could also potentially be leveraged in combination with other vulnerabilities to achieve arbitrary code execution, though the primary impact remains denial of service. This vulnerability aligns with CWE-129, which addresses insufficient bounds checking, and represents a common pattern in image processing libraries where format parsing lacks proper input sanitization.
The impact of this vulnerability extends beyond simple service disruption as it can affect entire application stacks that depend on ImageMagick for image handling. Web servers, file upload systems, and content management platforms that accept user-uploaded images are all at risk when they utilize vulnerable versions of ImageMagick. The attack vector is particularly concerning because it requires minimal user interaction beyond submitting a malicious file, making it suitable for automated exploitation. Organizations should consider implementing strict file type validation, content scanning, and access controls to mitigate the risk of exploitation. Additionally, the vulnerability demonstrates the importance of keeping image processing libraries up to date, as this issue was resolved in subsequent versions of ImageMagick. The flaw also relates to ATT&CK technique T1203, which involves exploiting software vulnerabilities for denial of service, and highlights the need for comprehensive software supply chain security practices.
Organizations should prioritize immediate patching of affected systems and implement comprehensive monitoring to detect potential exploitation attempts. The vulnerability serves as a reminder of the critical importance of input validation and bounds checking in image processing applications. Security teams should conduct thorough assessments of their image handling pipelines and ensure that all components are regularly updated to address known vulnerabilities. System administrators should also consider implementing network segmentation and access controls to limit the potential impact of successful exploitation attempts, while maintaining detailed logging of image processing activities to detect anomalous behavior.