CVE-2022-1056 in LibTIFF
Summary
by MITRE • 03/28/2022
Out-of-bounds Read error in tiffcrop in libtiff 4.3.0 allows attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit 46dc8fcd.
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Analysis
by VulDB Data Team • 04/03/2026
The vulnerability CVE-2022-1056 represents a critical out-of-bounds read flaw within the tiffcrop utility of libtiff version 4.3.0, which fundamentally compromises system stability and availability. This issue occurs when the application processes specially crafted tiff image files that contain malformed data structures, specifically within the image metadata handling routines. The flaw manifests as an improper bounds checking mechanism that fails to validate the size and structure of image data segments before attempting to access memory locations beyond the allocated buffer boundaries. Such vulnerabilities are particularly dangerous in image processing applications where user-supplied files are commonly processed without extensive sanitization, creating an ideal attack vector for malicious actors seeking to disrupt system operations.
The technical implementation of this vulnerability stems from inadequate input validation within the tiffcrop utility's parsing logic, which directly violates established security principles outlined in CWE-129 and CWE-787. When the application encounters a malformed tiff file, it attempts to read memory locations that extend beyond the legitimate bounds of allocated data structures, leading to unpredictable behavior and system crashes. This type of vulnerability falls under the category of memory safety issues that are systematically addressed by modern security frameworks and development practices. The flaw specifically impacts the image processing pipeline where the tiffcrop utility performs various operations on tiff file formats, including cropping, resizing, and format conversion functions that require extensive metadata parsing.
From an operational perspective, this vulnerability creates significant denial-of-service risks for systems that rely on libtiff for image processing tasks, particularly in environments where untrusted input is processed automatically. Attackers can craft malicious tiff files that trigger the out-of-bounds read condition, causing the tiffcrop utility to crash or behave unpredictably, effectively rendering the application unavailable for legitimate use. The impact extends beyond simple application crashes to potentially affect entire service availability when tiffcrop is integrated into larger workflows or automated processing systems. Systems utilizing libtiff for document management, image servers, or digital asset management platforms face elevated risk levels, as these applications often process user-uploaded content without sufficient validation mechanisms. The vulnerability also aligns with ATT&CK technique T1499.001, which describes the use of resource exhaustion and service disruption through denial-of-service attacks.
The remediation for CVE-2022-1056 is straightforward and involves applying the patch referenced in commit 46dc8fcd, which corrects the bounds checking logic within the libtiff library. This fix implements proper input validation procedures that ensure all memory access operations remain within legitimate data boundaries before processing tiff file metadata. Organizations should prioritize updating their libtiff installations to versions containing this patch, particularly those running systems that process external tiff files through the tiffcrop utility. System administrators should also consider implementing additional input validation layers and sandboxing mechanisms around image processing workflows to provide defense-in-depth protection against similar vulnerabilities. The fix demonstrates the importance of maintaining up-to-date security patches and proper software lifecycle management practices to prevent exploitation of known vulnerabilities.