CVE-2023-52356 in LibTIFF
Summary
by MITRE • 01/25/2024
A segment fault (SEGV) flaw was found in libtiff that could be triggered by passing a crafted tiff file to the TIFFReadRGBATileExt() API. This flaw allows a remote attacker to cause a heap-buffer overflow, leading to a denial of service.
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Analysis
by VulDB Data Team • 07/20/2026
The vulnerability identified as CVE-2023-52356 represents a critical heap-buffer overflow condition within the libtiff library implementation that manifests as a segmentation fault during image processing operations. This flaw specifically affects the TIFFReadRGBATileExt() application programming interface which is commonly utilized for reading and processing tiled rgba image data from tiff format files. The vulnerability stems from insufficient input validation and memory boundary checking within the library's internal processing routines that handle tiled image data structures. When a maliciously crafted tiff file is processed through this API, the library fails to properly validate the dimensions and memory allocation requirements for tile-based image data, leading to improper memory access patterns that trigger the buffer overflow condition. The flaw exists at the intersection of improper input validation and memory management within the image processing pipeline, creating a scenario where arbitrary memory regions can be overwritten or accessed beyond their allocated bounds. This vulnerability operates at a fundamental level within the tiff file parsing architecture where the library assumes certain data structures conform to expected formats without adequate verification mechanisms.
The technical exploitation of this vulnerability occurs when an attacker crafts a specially formatted tiff file containing malformed tile data structures that, when processed by TIFFReadRGBATileExt(), cause the library to allocate insufficient memory buffers for the expected tile dimensions. The flaw manifests as a heap-based buffer overflow where the program attempts to write data beyond the allocated heap memory boundaries, potentially overwriting adjacent memory regions including metadata, pointers, or other critical program state information. This overflow condition results in an immediate segmentation fault that terminates the application process, thereby enabling a denial of service attack against systems that rely on libtiff for image processing operations. The vulnerability is particularly dangerous because it can be triggered remotely through file processing operations without requiring any specialized privileges or direct system access. The heap overflow occurs in the context of memory management routines that handle the conversion and processing of tiled rgba image data, where the library's internal buffer allocation calculations fail to account for malformed input data that could cause integer overflow conditions or memory corruption during the tile processing sequence.
The operational impact of CVE-2023-52356 extends beyond simple denial of service scenarios to encompass potential system stability and availability concerns across numerous applications and platforms that depend on libtiff for image handling capabilities. Systems utilizing this library for web services, image processing pipelines, document management systems, and multimedia applications become vulnerable to remote exploitation through simple file upload or processing operations. The vulnerability affects software implementations across multiple operating systems including linux, windows, and unix-based platforms where libtiff is commonly deployed as part of image processing stacks. Attackers can leverage this flaw to disrupt services by uploading malicious tiff files to web applications that process user-uploaded content, causing application crashes and system downtime. The remote exploitation capability makes this vulnerability particularly concerning for internet-facing services where automated scanning tools could identify and exploit vulnerable systems without requiring physical access or elevated privileges. This vulnerability aligns with attack patterns documented in the attack technique matrix under the category of remote code execution through memory corruption, specifically targeting heap-based buffer overflow conditions that can be exploited to achieve arbitrary code execution or service disruption.
Mitigation strategies for CVE-2023-52356 should focus on immediate patch application and implementation of defensive programming practices within applications that utilize libtiff. Organizations should prioritize updating their libtiff library installations to versions that contain the specific fixes addressing the buffer overflow conditions in TIFFReadRGBATileExt() and related processing functions. Additionally, implementing input validation and sanitization measures at the application level can provide additional defense in depth against malformed tiff files that might bypass library-level protections. Security controls should include strict file format validation, memory access monitoring, and process isolation techniques to limit the impact of potential exploitation attempts. The vulnerability demonstrates the importance of proper memory management practices and input validation as outlined in common weakness enumeration cwe-121 and cwe-125 which address heap-based buffer overflow conditions and improper input validation respectively. Organizations should also consider implementing network-based intrusion detection systems that can identify and block suspicious file upload activities targeting known vulnerable libraries and applications. Regular security assessments and vulnerability scanning should include checks for outdated libtiff installations and proper implementation of memory safety practices within image processing applications. The remediation process should also involve comprehensive testing of patched applications to ensure that the fix does not introduce compatibility issues or regressions in legitimate image processing operations while maintaining the security improvements necessary to prevent exploitation.