CVE-2014-8716 in ImageMagick
Summary
by MITRE
The JPEG decoder in ImageMagick before 6.8.9-9 allows local users to cause a denial of service (out-of-bounds memory access and crash).
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Analysis
by VulDB Data Team • 08/29/2020
The vulnerability identified as CVE-2014-8716 represents a critical memory safety issue within ImageMagick's JPEG decoding component that existed in versions prior to 6.8.9-9. This flaw manifests as an out-of-bounds memory access condition that can be exploited by local attackers to trigger system crashes and denial of service scenarios. The vulnerability specifically affects the image processing library's handling of malformed JPEG files, where improper bounds checking in the decoding routine allows attackers to craft malicious image files that cause the application to access memory locations outside the allocated buffer boundaries. Such out-of-bounds memory access represents a fundamental violation of memory safety principles and can lead to unpredictable application behavior including segmentation faults, application termination, and system instability.
The technical exploitation of this vulnerability occurs when ImageMagick processes JPEG images that contain malformed or specially crafted data structures within their headers or compressed data segments. The JPEG decoder fails to properly validate the dimensions and memory requirements of image components before attempting to allocate and access memory regions. This deficiency allows attackers to manipulate the parsing logic through carefully constructed JPEG files that cause the decoder to attempt memory operations beyond the intended boundaries. The vulnerability falls under the CWE-125 out-of-bounds read category, which specifically addresses situations where programs read memory locations beyond the boundaries of allocated buffers, and can be classified under the broader CWE-787 out-of-bounds write when the malicious input causes memory corruption. The flaw demonstrates a classic buffer overflow condition in the context of memory allocation and access control mechanisms.
The operational impact of CVE-2014-8716 extends beyond simple denial of service scenarios to potentially enable more sophisticated attack vectors. When local users can cause applications to crash through malformed image processing, this creates opportunities for persistent system disruption and can be leveraged in broader attack chains where the availability of critical image processing services is compromised. The vulnerability affects any system running vulnerable versions of ImageMagick that process user-provided JPEG files, including web servers, content management systems, and image processing pipelines. In environments where automatic image processing is enabled, attackers can submit malicious JPEG files that cause the application to crash repeatedly, leading to service degradation and potential complete system unavailability. This vulnerability can also be exploited in automated attack scenarios where multiple targets are simultaneously subjected to denial of service attacks through crafted image files.
Mitigation strategies for CVE-2014-8716 primarily focus on immediate version upgrades to ImageMagick 6.8.9-9 or later releases where the memory safety issues have been addressed through proper bounds checking and input validation. System administrators should implement comprehensive patch management procedures to ensure all instances of ImageMagick are updated promptly, particularly in environments where user-uploaded content is processed. Additional defensive measures include implementing strict input validation for all image files, deploying sandboxing mechanisms for image processing operations, and configuring automatic monitoring for system crashes or unusual resource consumption patterns. The vulnerability also highlights the importance of input sanitization and the need for robust error handling in image processing libraries. Organizations should consider implementing network segmentation and access controls to limit the potential impact of such vulnerabilities, and should regularly audit their image processing workflows to identify and remediate similar memory safety issues. The ATT&CK framework categorizes this vulnerability under the T1499 technique for network denial of service, where attackers leverage application-level vulnerabilities to disrupt service availability, and the T1059 technique for command and control through local system exploitation.