CVE-2026-26284 in ImageMagick
Summary
by MITRE • 02/24/2026
ImageMagick is free and open-source software used for editing and manipulating digital images. Prior to versions 7.1.2-15 and 6.9.13-40, ImageMagick lacks proper boundary checking when processing Huffman-coded data from PCD (Photo CD) files. The decoder contains an function that has an incorrect initialization that could cause an out of bounds read. Versions 7.1.2-15 and 6.9.13-40 contain a patch.
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Analysis
by VulDB Data Team • 04/21/2026
ImageMagick represents a widely deployed image processing library that serves as a foundational component for numerous applications across the digital ecosystem including web servers, content management systems, and digital asset management platforms. The software's extensive adoption makes it a critical target for adversaries seeking to exploit vulnerabilities within image processing pipelines. This particular vulnerability exists within the PCD file format decoder, which processes Photo CD files that utilize Huffman coding for data compression. The flaw manifests in the improper handling of boundary conditions during the decoding process of compressed data structures.
The technical implementation of this vulnerability stems from an incorrect initialization within the Huffman decoder function responsible for processing PCD file data. When processing Huffman-coded data, the decoder maintains internal state variables that track the current position within the compressed data stream and manage buffer boundaries. The flaw occurs when these boundary tracking variables are not properly initialized before processing begins, leading to an out-of-bounds read condition. This type of vulnerability falls under the common weakness enumeration CWE-129, which specifically addresses improper validation of array indices or buffer boundaries. The incorrect initialization allows the decoder to access memory locations beyond the allocated buffer boundaries, potentially reading sensitive data from adjacent memory regions or causing application crashes.
The operational impact of this vulnerability extends beyond simple application instability, as it creates potential attack vectors for remote code execution or information disclosure. When an attacker can control the input to the vulnerable decoder, they may craft malicious PCD files that trigger the out-of-bounds read condition. This condition could result in information leakage from memory segments containing sensitive data such as stack contents, heap data, or other application state information. The vulnerability's exploitation potential is particularly concerning in web environments where ImageMagick is commonly used to process user-uploaded images, creating a direct path for remote attackers to gain unauthorized access to system resources or extract confidential information. Additionally, the flaw demonstrates poor defensive programming practices that could be leveraged in combination with other vulnerabilities to escalate privileges or execute arbitrary code within the application context.
Mitigation strategies for this vulnerability require immediate patch deployment to versions 7.1.2-15 and 6.9.13-40 where the boundary checking has been properly implemented. Organizations should implement comprehensive input validation measures that restrict file type processing and implement strict access controls for image processing functions. Network segmentation and application whitelisting can help limit the potential impact of exploitation attempts. The vulnerability aligns with several tactics described in the attack technique framework including privilege escalation through software exploitation and credential access via information disclosure. Security teams should monitor for exploitation attempts and implement robust logging mechanisms to detect potential abuse of this vulnerability. Regular vulnerability assessments and penetration testing should be conducted to identify similar boundary condition issues in other image processing libraries and software components. The fix demonstrates proper defensive programming practices that emphasize the importance of validating all input parameters and initializing all state variables before processing begins, aligning with industry best practices for secure software development.