CVE-2016-8684 in GraphicsMagick
Summary
by MITRE
The MagickMalloc function in magick/memory.c in GraphicsMagick 1.3.25 allows remote attackers to have unspecified impact via a crafted image, which triggers a memory allocation failure and a "file truncation error for corrupt file."
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Analysis
by VulDB Data Team • 08/15/2020
The vulnerability identified as CVE-2016-8684 resides within GraphicsMagick version 1.3.25, specifically in the MagickMalloc function located in magick/memory.c. This flaw represents a critical memory management issue that can be exploited by remote attackers through the careful crafting of image files. The vulnerability manifests when the system processes malformed image data, leading to unexpected behavior in the memory allocation mechanisms. GraphicsMagick, a robust image processing library widely used in web applications and server environments, becomes susceptible to this exploit when handling untrusted image inputs. The flaw demonstrates the dangerous intersection of improper input validation and memory management functions, creating potential pathways for system compromise.
The technical implementation of this vulnerability stems from the MagickMalloc function's failure to properly handle memory allocation requests when processing corrupted image files. When an attacker crafts a specially designed image file, the function encounters unexpected memory allocation patterns that result in a memory allocation failure. This failure is subsequently followed by a "file truncation error for corrupt file" message, indicating that the system's file handling mechanisms have been triggered by the malformed input. The underlying issue lies in the lack of proper bounds checking and error handling within the memory allocation routine, which fails to account for maliciously constructed image data that could manipulate the allocation process. This type of vulnerability falls under the category of memory corruption issues and can potentially lead to denial of service conditions or more severe consequences depending on the system environment.
The operational impact of CVE-2016-8684 extends beyond simple denial of service scenarios, as it represents a potential vector for more sophisticated attacks within systems that rely on GraphicsMagick for image processing. Remote attackers can leverage this vulnerability to disrupt services by causing memory allocation failures that may lead to application crashes or system instability. In web server environments where GraphicsMagick is used for image handling, this vulnerability could be exploited to cause widespread service disruption through carefully crafted image uploads or requests. The vulnerability's remote exploitability means that attackers do not need physical access to the target system, making it particularly dangerous in publicly accessible applications. According to CWE classification, this vulnerability aligns with CWE-129, which addresses improper validation of array index values, and CWE-704, which covers incorrect type conversion or cast. The ATT&CK framework would categorize this under initial access through malicious file delivery or exploitation of vulnerable applications, potentially leading to privilege escalation or lateral movement within compromised systems.
Mitigation strategies for CVE-2016-8684 should focus on immediate patching of GraphicsMagick installations to version 1.3.26 or later, where the vulnerability has been addressed through improved input validation and memory allocation error handling. Organizations should implement comprehensive image validation procedures that include signature checking, size limitations, and format verification before processing any user-uploaded images. Network-level defenses should include implementing strict file type validation and content filtering to prevent malicious image files from reaching the GraphicsMagick processing layer. Additionally, system administrators should monitor for unusual memory allocation patterns or file handling errors that could indicate exploitation attempts. The vulnerability highlights the importance of robust input validation and proper error handling in memory management functions, emphasizing the need for security-conscious coding practices and regular security assessments of image processing libraries. Organizations should also consider implementing sandboxing mechanisms for image processing operations to limit the potential impact of any successful exploitation attempts.