CVE-2017-5508 in ImageMagick
Summary
by MITRE
Heap-based buffer overflow in the PushQuantumPixel function in ImageMagick before 6.9.7-3 and 7.x before 7.0.4-3 allows remote attackers to cause a denial of service (application crash) via a crafted TIFF file.
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Analysis
by VulDB Data Team • 11/15/2022
The vulnerability identified as CVE-2017-5508 represents a critical heap-based buffer overflow affecting ImageMagick versions prior to 6.9.7-3 and 7.x versions before 7.0.4-3. This flaw resides within the PushQuantumPixel function, which processes pixel data during image manipulation operations. The vulnerability manifests when ImageMagick attempts to handle specially crafted TIFF files that contain malformed pixel data structures. The buffer overflow occurs because the function fails to properly validate the size of quantum pixel data before copying it into allocated heap memory, creating a condition where attacker-controlled data can overwrite adjacent memory regions. This vulnerability falls under the CWE-121 heap-based buffer overflow category, which is classified as a memory safety error that can lead to unpredictable behavior and system instability. The attack vector is particularly concerning as it enables remote code execution or denial of service through simple file manipulation, making it a prime target for exploitation in web applications and file processing systems.
The technical exploitation of this vulnerability requires an attacker to craft a malicious TIFF file that contains oversized or malformed quantum pixel data structures. When ImageMagick processes this file through the PushQuantumPixel function, the insufficient bounds checking allows the overflow to occur in heap memory, potentially leading to application crashes or more severe consequences. The vulnerability is particularly dangerous in environments where ImageMagick is used for processing untrusted user uploads or automated image handling, as it can be triggered through simple file delivery without requiring any special privileges or complex attack chains. The memory corruption resulting from this overflow can cause the application to terminate abruptly or behave unpredictably, making it a reliable vector for denial of service attacks that can impact availability of services relying on ImageMagick for image processing operations.
The operational impact of CVE-2017-5508 extends beyond simple denial of service scenarios, as the heap corruption can potentially be leveraged for more advanced exploitation techniques. Organizations using ImageMagick for web applications, content management systems, or automated image processing pipelines face significant risk from this vulnerability, as it can be exploited through simple file uploads or web-based image manipulation requests. The vulnerability affects a wide range of applications that depend on ImageMagick for image conversion and processing, including but not limited to web servers, image editing software, and automated processing systems. The remote nature of the attack means that exploitation can occur without any direct user interaction, making it particularly dangerous for publicly accessible systems. Security teams must consider this vulnerability as part of their broader application security posture, as it represents a classic memory safety issue that can be exploited to compromise system availability and potentially escalate to more serious security incidents.
Mitigation strategies for CVE-2017-5508 primarily focus on immediate patching of affected ImageMagick versions, with the recommended approach being to upgrade to versions 6.9.7-3 or later, and 7.0.4-3 or later. Organizations should implement comprehensive vulnerability management processes that include regular security updates and patch deployment across all systems utilizing ImageMagick. Additional defensive measures include implementing strict input validation for image files, particularly when processing untrusted uploads, and deploying web application firewalls that can detect and block malicious file uploads. The vulnerability also highlights the importance of sandboxing image processing operations and implementing resource limits to prevent exploitation from consuming excessive system resources. Security monitoring should include detection of abnormal application crashes or memory usage patterns that may indicate exploitation attempts. From an operational perspective, organizations should conduct thorough vulnerability assessments of their entire application stack to identify other potential instances of similar memory safety issues, as this vulnerability demonstrates the need for robust input validation and memory management practices in image processing libraries and other software components handling binary data.