CVE-2017-12805 in ImageMagick
Summary
by MITRE
In ImageMagick 7.0.6-6, a memory exhaustion vulnerability was found in the function ReadTIFFImage, which allows attackers to cause a denial of service.
Be aware that VulDB is the high quality source for vulnerability data.
Analysis
by VulDB Data Team • 09/15/2023
The vulnerability identified as CVE-2017-12805 represents a critical memory exhaustion issue within ImageMagick version 7.0.6-6, specifically within the ReadTIFFImage function. This flaw enables malicious actors to exploit memory allocation patterns during image processing, potentially leading to system instability and service disruption. The vulnerability exists in the TIFF image format handling component of ImageMagick, which is widely used for image manipulation and conversion across various platforms and applications. The issue stems from inadequate memory management when processing specially crafted TIFF files, creating conditions where memory consumption can grow uncontrollably during the image reading process.
The technical implementation of this vulnerability involves the ReadTIFFImage function failing to properly validate or limit memory allocation requests when encountering specific TIFF file structures. Attackers can craft malicious TIFF files that trigger excessive memory consumption patterns, causing the application to allocate large amounts of memory without proper bounds checking. This memory exhaustion occurs during the parsing and interpretation of TIFF metadata and image data structures, particularly when dealing with nested or recursive data elements that can cause the memory allocation logic to spiral into excessive consumption. The flaw operates at the intersection of image format parsing and memory management, creating a scenario where resource exhaustion becomes a direct consequence of the parsing process itself.
From an operational perspective, this vulnerability poses significant risks to systems that process untrusted image files, including web applications, content management systems, and file processing services. The denial of service impact can affect availability of critical services, as the memory exhaustion can cause applications to crash or become unresponsive. Systems relying on ImageMagick for automated image processing workflows are particularly vulnerable, as attackers can exploit this weakness through automated means to repeatedly consume system resources. The vulnerability affects not only individual applications but also entire infrastructure components that depend on ImageMagick's image processing capabilities, potentially creating cascading failures in service availability.
Security mitigations for CVE-2017-12805 should focus on immediate patching of ImageMagick to versions that address the memory allocation issues within ReadTIFFImage. Organizations should implement input validation and sanitization measures to prevent processing of untrusted TIFF files, particularly in web-facing applications. Network-level controls such as file type restrictions and size limits can provide additional defense in depth. The vulnerability aligns with CWE-400, which addresses uncontrolled resource consumption, and maps to ATT&CK technique T1499.001 for resource exhaustion attacks. System administrators should monitor for unusual memory consumption patterns and implement process monitoring to detect potential exploitation attempts. Regular security assessments of image processing workflows and dependency updates should be prioritized to prevent similar vulnerabilities from affecting operational environments.
This vulnerability demonstrates the importance of proper resource management in image processing libraries, where format parsing can directly impact system stability. The flaw represents a classic example of how image format handling can become a vector for resource exhaustion attacks, highlighting the need for robust input validation and memory safety practices in multimedia processing components. Organizations should consider implementing sandboxing mechanisms for image processing operations to isolate potential exploitation attempts and prevent system-wide impact from such vulnerabilities.