CVE-2017-16232 in LibTIFF
Summary
by MITRE
** DISPUTED ** LibTIFF 4.0.8 has multiple memory leak vulnerabilities, which allow attackers to cause a denial of service (memory consumption), as demonstrated by tif_open.c, tif_lzw.c, and tif_aux.c. NOTE: Third parties were unable to reproduce the issue.
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Analysis
by VulDB Data Team • 08/06/2024
The vulnerability identified as CVE-2017-16232 affects LibTIFF version 4.0.8 and encompasses multiple memory leak issues within the library's core components. This security flaw resides in the fundamental image processing capabilities of the library, specifically impacting the tif_open.c, tif_lzw.c, and tif_aux.c modules that handle file opening, LZW compression decompression, and auxiliary functionality respectively. The memory leaks occur during normal operation when processing TIFF formatted image files, creating a potential avenue for attackers to consume excessive system resources through carefully crafted inputs.
From a technical perspective, these memory leaks represent a class of issues categorized under CWE-401, which specifically addresses improper handling of memory allocation and deallocation. The vulnerability manifests when the library fails to properly release allocated memory blocks during file processing operations, leading to gradual memory consumption over time. The affected modules demonstrate insufficient error handling and resource management during the parsing and decompression of TIFF image data structures, particularly when encountering malformed or specially crafted input files that trigger the memory allocation pathways.
The operational impact of this vulnerability extends beyond simple resource exhaustion, as it creates conditions conducive to denial of service attacks that can severely impact systems relying on LibTIFF for image processing tasks. When exploited, these memory leaks can cause applications using the library to consume increasing amounts of system memory until the system becomes unresponsive or crashes entirely. This type of vulnerability is particularly concerning in server environments where continuous image processing operations are performed, as it can lead to cascading failures affecting multiple services and potentially compromising system availability. The vulnerability aligns with ATT&CK technique T1499.004, which covers network denial of service attacks through resource exhaustion.
The disputed nature of this vulnerability stems from third-party reproduction efforts that were unable to successfully demonstrate the memory leak conditions described in the initial report. This uncertainty highlights challenges often encountered in vulnerability assessment where environmental factors, specific code paths, or timing conditions may be required to trigger the memory allocation issues. The lack of reproducible evidence raises questions about whether the vulnerability represents a genuine flaw or if the conditions for exploitation were not properly documented or understood. Organizations should approach this vulnerability with caution and conduct their own testing in controlled environments to determine actual risk exposure.
Mitigation strategies for CVE-2017-16232 should focus on immediate library updates to versions that address the identified memory management issues. System administrators should prioritize upgrading to LibTIFF versions that have been confirmed to resolve these memory leak vulnerabilities, typically those released after the 4.0.8 version. Additionally, implementing proper input validation and sanitization measures when processing TIFF files can help reduce the attack surface. Organizations should also consider deploying monitoring solutions to detect unusual memory consumption patterns that might indicate exploitation attempts. The vulnerability underscores the importance of thorough testing and validation of third-party libraries, particularly those handling file format processing, as memory management issues can have significant operational impacts on system stability and availability.