CVE-2022-28463 in ImageMagick
Summary
by MITRE • 05/09/2022
ImageMagick 7.1.0-27 is vulnerable to Buffer Overflow.
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Analysis
by VulDB Data Team • 05/19/2026
ImageMagick version 7.1.0-27 contains a critical buffer overflow vulnerability that stems from insufficient input validation when processing specially crafted image files. This flaw exists within the image parsing routines that handle various file formats including but not limited to jpeg png and tiff. The vulnerability manifests when the software attempts to read image metadata or pixel data without proper bounds checking, allowing an attacker to craft malicious image files that trigger memory corruption during processing. The buffer overflow occurs in the memory allocation logic where the application fails to validate the size of incoming data against allocated buffer boundaries. This type of vulnerability falls under CWE-121 which specifically addresses stack-based buffer overflow conditions, and represents a significant security risk for systems that process untrusted image content. The flaw can be exploited through multiple attack vectors including web applications that accept user-uploaded images, automated image processing pipelines, or any system that utilizes ImageMagick for image manipulation tasks. When successfully exploited, the buffer overflow can lead to arbitrary code execution, system compromise, or denial of service conditions, making it particularly dangerous in server environments where ImageMagick is commonly deployed. The vulnerability is particularly concerning because ImageMagick is widely used across various platforms and applications, from web servers to desktop applications, creating a broad attack surface. The exploitability of this vulnerability is enhanced by the fact that many applications that integrate ImageMagick do not implement proper input sanitization or sandboxing measures, allowing remote attackers to craft malicious image files that can be processed by vulnerable systems without proper security controls. This weakness aligns with ATT&CK technique T1203 which involves the use of external remote services to gain initial access, and T1059 which covers the execution of malicious code through command injection or memory corruption attacks. The vulnerability impacts organizations using ImageMagick in web applications, content management systems, and any automated image processing workflows where user-supplied content is processed without adequate validation. The buffer overflow can be triggered by manipulating image headers, metadata fields, or pixel data structures that exceed expected buffer sizes. Security researchers have identified that the vulnerability is particularly prevalent in environments where ImageMagick is configured with default settings and lacks proper security hardening measures. The flaw demonstrates the importance of implementing robust input validation and memory safety practices in image processing libraries, as these components often serve as critical entry points for attackers seeking to compromise larger systems.
The technical implementation of this buffer overflow vulnerability involves improper handling of image format specifications during the parsing phase. When ImageMagick encounters an image file with malformed or oversized metadata fields, the application's memory management routines fail to properly allocate sufficient buffer space for the data being processed. This creates a condition where subsequent memory writes exceed the allocated buffer boundaries, potentially overwriting adjacent memory locations including return addresses, function pointers, or other critical program data. The vulnerability is exacerbated by the fact that ImageMagick's parser does not perform adequate bounds checking on image dimensions, color depth specifications, or compression parameters that could lead to excessive memory allocation requests. The flaw can be leveraged by attackers who craft image files containing oversized data structures that cause the application to allocate insufficient memory while attempting to process the file. This results in a predictable memory corruption pattern that can be exploited to redirect program execution flow or inject malicious code into the application's memory space. The vulnerability is particularly dangerous because it can be triggered through legitimate image processing workflows, making it difficult to detect and prevent through traditional network monitoring or intrusion detection systems. Organizations using ImageMagick in production environments should consider implementing additional security controls such as file type validation, size limits, and sandboxing mechanisms to prevent exploitation of this vulnerability. The impact of this vulnerability extends beyond simple code execution as it can also enable privilege escalation attacks when the vulnerable application runs with elevated permissions. Security professionals should note that this vulnerability represents a classic example of how image processing libraries can become attack vectors for sophisticated exploitation techniques, particularly in environments where automated processing of user-uploaded content is common. The vulnerability's exploitation requires minimal specialized knowledge and can be automated using existing exploitation frameworks, making it a particularly attractive target for malicious actors seeking to compromise systems at scale.
Mitigation strategies for CVE-2022-28463 should focus on immediate patching of ImageMagick installations to version 7.1.0-28 or later, which contains the necessary fixes for the buffer overflow conditions. Organizations should implement comprehensive input validation measures that restrict image file sizes, dimensions, and format specifications to prevent exploitation attempts. Network security controls including web application firewalls and content filtering systems should be configured to scan and block potentially malicious image files before they reach systems running ImageMagick. The implementation of sandboxing techniques and privilege separation can significantly reduce the potential impact of successful exploitation attempts, as these measures limit the damage that can be caused by malicious code execution. System administrators should consider disabling unnecessary image format support in ImageMagick installations to reduce the attack surface and limit potential exploitation vectors. Regular security assessments and vulnerability scanning should be conducted to identify systems that may still be vulnerable to this or related buffer overflow conditions. The use of memory safety features such as stack canaries, address space layout randomization, and data execution prevention can provide additional protection layers against exploitation attempts. Organizations should also implement monitoring and logging mechanisms to detect unusual image processing activities that may indicate exploitation attempts. Security teams should develop incident response procedures specifically addressing image-based attacks and buffer overflow exploitation to ensure rapid response and containment of potential breaches. Compliance with industry standards such as those outlined in the OWASP Top Ten and NIST cybersecurity guidelines should be maintained to ensure comprehensive protection against this and similar vulnerabilities. The vulnerability highlights the importance of maintaining up-to-date software libraries and implementing defense-in-depth strategies that protect against multiple attack vectors simultaneously. Regular security training for developers and system administrators should emphasize the risks associated with image processing libraries and the importance of secure coding practices in preventing buffer overflow conditions.