CVE-2014-9819 in ImageMagick
Summary
by MITRE
Heap-based buffer overflow in ImageMagick allows remote attackers to have unspecified impact via a crafted palm file, a different vulnerability than CVE-2014-9823.
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Analysis
by VulDB Data Team • 10/31/2024
The heap-based buffer overflow vulnerability in ImageMagick identified as CVE-2014-9819 represents a critical security flaw that enables remote attackers to execute arbitrary code or cause system instability through maliciously crafted palm image files. This vulnerability specifically affects the image processing capabilities of ImageMagick, a widely used software suite for creating, editing, and converting bitmap images. The flaw stems from insufficient input validation when processing palm format files, which are a proprietary image format used by Palm Computing devices and later adopted by various mobile platforms. The vulnerability is particularly concerning because it operates at the heap memory level, meaning attackers can manipulate memory allocation patterns to overwrite critical data structures or execute malicious code. Unlike CVE-2014-9823 which affects a different aspect of the software, this vulnerability specifically targets the heap management routines during palm file parsing, making it a distinct but equally dangerous threat vector.
The technical implementation of this heap-based buffer overflow occurs when ImageMagick attempts to parse palm files that contain malformed or oversized data structures within their headers or pixel data sections. During the parsing process, the software allocates heap memory to store image data but fails to properly validate the size parameters specified in the palm file format. When an attacker crafts a palm file with oversized dimensions or malformed data structures, the parsing routine can overflow allocated heap buffers, leading to memory corruption that may result in arbitrary code execution, denial of service, or information disclosure. The heap overflow mechanism allows attackers to overwrite adjacent memory locations, potentially corrupting function pointers, return addresses, or other critical program state information. This vulnerability aligns with CWE-121, which describes heap-based buffer overflow conditions, and represents a classic example of unsafe memory manipulation in image processing libraries. The attack vector is particularly dangerous because it can be triggered through web applications that process user-uploaded images, making it a common target for web-based exploitation campaigns.
The operational impact of CVE-2014-9819 extends far beyond simple denial of service scenarios, as the vulnerability can be leveraged to achieve complete system compromise when exploited successfully. Systems running vulnerable versions of ImageMagick are at risk when processing palm files from untrusted sources, which commonly occurs in web applications, content management systems, and file upload functionalities. Attackers can craft palm files that, when processed by vulnerable applications, will execute malicious payloads or cause the application to crash, leading to service disruption. The vulnerability's impact is amplified by the widespread adoption of ImageMagick across various platforms and applications, including popular web servers, image processing pipelines, and content management systems. From an attacker's perspective, this vulnerability provides a reliable path to remote code execution, making it particularly attractive for exploitation in targeted attacks. The vulnerability can be exploited through multiple attack surfaces including web applications, email attachments, and file sharing systems where palm image files are processed. This makes it a significant threat to organizations that rely on ImageMagick for image processing without proper input validation or sandboxing mechanisms.
Mitigation strategies for CVE-2014-9819 require immediate patching of affected ImageMagick installations to the latest secure versions that contain memory validation fixes and heap management improvements. Organizations should implement comprehensive input validation for all image file processing, including strict size limits, format verification, and sandboxed execution environments to isolate vulnerable operations. Network-based mitigations can include implementing content filtering rules that block palm file uploads or processing, particularly in environments where such files are not required for legitimate operations. Security teams should deploy intrusion detection systems that monitor for suspicious image processing activities and implement regular security assessments to identify vulnerable applications that may be exposed to this attack vector. Additionally, organizations should consider implementing application whitelisting policies and restricting ImageMagick execution to trusted environments only. The remediation process must include thorough testing of patched systems to ensure that the vulnerability is fully addressed without introducing regressions in legitimate image processing functionality. Regular security updates and vulnerability scanning should be implemented to maintain protection against similar heap-based vulnerabilities that may emerge in the future, aligning with best practices recommended by security frameworks such as NIST guidelines and industry standards for secure coding practices.