CVE-2013-4243 in LibTIFF
Summary
by MITRE
Heap-based buffer overflow in the readgifimage function in the gif2tiff tool in libtiff 4.0.3 and earlier allows remote attackers to cause a denial of service (crash) and possibly execute arbitrary code via a crafted height and width values in a GIF image.
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Analysis
by VulDB Data Team • 05/21/2021
The vulnerability identified as CVE-2013-4243 represents a critical heap-based buffer overflow affecting the gif2tiff tool within libtiff version 4.0.3 and earlier. This flaw exists within the readgifimage function which processes GIF image files and converts them to TIFF format. The vulnerability arises from insufficient input validation when handling image dimensions, specifically when parsing height and width values from crafted GIF files. The issue stems from the improper handling of user-supplied data without adequate bounds checking, creating an exploitable condition where maliciously constructed GIF images can trigger memory corruption.
The technical implementation of this vulnerability demonstrates a classic heap overflow scenario where the gif2tiff tool allocates memory based on parsed width and height values from the GIF header. When these values are manipulated to exceed expected boundaries, the application fails to validate the input parameters before proceeding with memory allocation and data copying operations. This flaw aligns with CWE-121, heap-based buffer overflow, and represents a direct violation of secure coding practices that mandate proper input validation and memory boundary checking. The vulnerability can be exploited through a remote attack vector as the gif2tiff tool is often invoked by web applications and automated processing systems that handle user-uploaded content.
From an operational perspective, this vulnerability presents significant risk to systems that process GIF images through the libtiff library, particularly web applications, content management systems, and digital asset management platforms. The impact encompasses both denial of service conditions where the application crashes due to memory corruption, as well as potential remote code execution capabilities that could allow attackers to gain unauthorized system access. Attackers can leverage this vulnerability by crafting malicious GIF files with oversized width and height parameters that cause the application to allocate insufficient memory for image data processing, leading to memory corruption that can be exploited to execute arbitrary code. The ATT&CK framework categorizes this as a code injection technique under the T1059.007 sub-technique, where the buffer overflow enables arbitrary code execution through memory corruption.
Mitigation strategies for CVE-2013-4243 require immediate patching of affected libtiff versions to 4.0.4 or later, which includes proper input validation and bounds checking for image dimensions. System administrators should implement input sanitization measures that validate image metadata before processing, particularly focusing on dimension parameters in GIF files. Network-based defenses should include content filtering mechanisms that scan for potentially malicious image files and restrict the processing of untrusted image uploads. Additionally, application-level protections should be implemented through proper memory management practices, including stack canaries, address space layout randomization, and heap protection mechanisms. Organizations should also conduct regular vulnerability assessments to identify other potentially affected components within their infrastructure that might use vulnerable versions of libtiff, ensuring comprehensive security coverage across all image processing pipelines and preventing similar vulnerabilities from being exploited in the future.