CVE-2014-9834 in ImageMagick
Summary
by MITRE
Heap overflow in ImageMagick 6.8.9-9 via a crafted pict file.
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Analysis
by VulDB Data Team • 09/10/2020
The vulnerability identified as CVE-2014-9834 represents a critical heap overflow condition within ImageMagick version 6.8.9-9, specifically triggered by processing maliciously crafted pict files. This flaw resides in the image processing pipeline where the software fails to properly validate input data before allocating memory for image reconstruction. The vulnerability manifests when ImageMagick attempts to parse and render pict format files that contain malformed data structures, leading to unauthorized memory access patterns that can result in arbitrary code execution or system compromise. Such heap overflow conditions are particularly dangerous because they can be exploited to overwrite adjacent memory locations, potentially allowing attackers to manipulate program execution flow or inject malicious payloads into the target system.
The technical implementation of this vulnerability stems from insufficient bounds checking within the pict file parser component of ImageMagick. When processing a specially crafted pict file, the application allocates heap memory based on header values that have been manipulated by an attacker to exceed normal allocation limits. This improper memory management creates a situation where subsequent writes to the allocated buffer can overwrite adjacent heap memory regions, including metadata used by the heap allocator itself. The vulnerability aligns with CWE-121, which categorizes heap-based buffer overflow conditions, and demonstrates characteristics consistent with memory corruption vulnerabilities that enable privilege escalation and remote code execution in vulnerable environments. The attack vector typically involves web applications or services that process user-uploaded images through ImageMagick, making it particularly relevant in contexts where untrusted image content is handled without proper validation.
The operational impact of CVE-2014-9834 extends far beyond simple denial of service scenarios, as it can lead to complete system compromise when exploited in environments where ImageMagick is used for image processing. Systems running vulnerable versions of ImageMagick are at risk of being exploited through web applications, file upload mechanisms, or automated image processing workflows that handle pict format files. The vulnerability affects a wide range of applications including content management systems, web applications, and image processing services that rely on ImageMagick for image manipulation tasks. Organizations using affected versions face potential data breaches, unauthorized access to sensitive information, and complete system takeover if attackers successfully exploit this vulnerability. The risk is amplified in environments where ImageMagick is used in conjunction with web servers or applications that process images from untrusted sources without proper sanitization, creating an attack surface that aligns with ATT&CK technique T1203 for exploitation of software vulnerabilities.
Mitigation strategies for CVE-2014-9834 require immediate patching of affected ImageMagick installations to version 6.8.9-10 or later, which contains the necessary memory validation fixes. Organizations should implement comprehensive input validation policies that reject or sanitize pict files before processing, particularly in web applications where user uploads are accepted. Network segmentation and application whitelisting can help reduce the attack surface by limiting access to vulnerable image processing functions. Security monitoring should include detection of suspicious image file processing activities and anomalous memory allocation patterns that may indicate exploitation attempts. System administrators should also consider implementing privilege separation for image processing services and regular security assessments to identify other potential vulnerabilities in image processing pipelines. The remediation process must be comprehensive, addressing not only the immediate vulnerability but also reviewing all image processing workflows to ensure proper validation and sanitization of input files.