CVE-2013-4231 in LibTIFF
Summary
by MITRE
Multiple buffer overflows in libtiff before 4.0.3 allow remote attackers to cause a denial of service (out-of-bounds write) via a crafted (1) extension block in a GIF image or (2) GIF raster image to tools/gif2tiff.c or (3) a long filename for a TIFF image to tools/rgb2ycbcr.c. NOTE: vectors 1 and 3 are disputed by Red Hat, which states that the input cannot exceed the allocated buffer size.
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Analysis
by VulDB Data Team • 05/21/2021
The vulnerability described in CVE-2013-4231 represents a critical security flaw within the libtiff library version 4.0.2 and earlier, affecting multiple components of the software ecosystem. This issue manifests through multiple buffer overflow conditions that can be exploited by remote attackers to disrupt system operations. The vulnerability specifically targets the tools/gif2tiff.c and tools/rgb2ycbcr.c utilities within the library, creating potential for denial of service attacks through out-of-bounds memory writes. The affected code paths involve processing of GIF images and TIFF file handling, making this a significant concern for systems that process image data from untrusted sources.
The technical implementation of this vulnerability involves three distinct attack vectors that exploit different aspects of buffer management within the libtiff processing pipeline. The first vector targets extension blocks within GIF images, where crafted data can cause buffer overflows during parsing operations. The second vector involves GIF raster image processing, where malformed image data can trigger similar memory corruption issues. The third vector focuses on filename handling within the rgb2ycbcr.c tool, where excessively long filenames can result in buffer overflows during string processing operations. These vulnerabilities are categorized under CWE-121, which describes heap-based buffer overflow conditions, and specifically align with CWE-122 for stack-based buffer overflows. The exploitability of these conditions is enhanced by the fact that they occur during image processing operations, which are commonly performed on web servers and file processing systems.
The operational impact of CVE-2013-4231 extends beyond simple denial of service scenarios, as these buffer overflows can potentially lead to more severe consequences including arbitrary code execution or system compromise. When systems process untrusted image files, such as those received through web uploads, email attachments, or file transfer protocols, they become vulnerable to exploitation. The vulnerability affects a wide range of applications that depend on libtiff for image processing, including graphic design software, document management systems, and web applications that handle image uploads. Attackers can leverage these flaws to cause system crashes, resource exhaustion, or potentially gain unauthorized access to affected systems. The impact is particularly severe in environments where automated image processing occurs, such as content management systems, digital asset management platforms, and web services that process user-generated content.
Mitigation strategies for CVE-2013-4231 primarily focus on upgrading to libtiff version 4.0.3 or later, where the buffer overflow conditions have been addressed through proper bounds checking and input validation. Organizations should implement comprehensive patch management procedures to ensure all affected systems receive the necessary updates. Additionally, input validation measures should be implemented at the application level, including length restrictions on filenames and image data processing limits. Network segmentation and access controls can help reduce the attack surface by limiting access to image processing utilities. Security monitoring should be enhanced to detect unusual processing patterns or system resource consumption that may indicate exploitation attempts. The vulnerability demonstrates the importance of proper memory management practices and highlights the need for regular security assessments of third-party libraries used in production environments. Organizations should also consider implementing sandboxing mechanisms for image processing operations and establishing secure coding practices that prevent similar buffer overflow conditions in custom applications. The remediation approach should align with industry best practices outlined in the MITRE ATT&CK framework, specifically focusing on defensive techniques related to input validation and memory safety controls.