CVE-2022-0891 in LibTIFF
Summary
by MITRE • 03/10/2022
A heap buffer overflow in ExtractImageSection function in tiffcrop.c in libtiff library Version 4.3.0 allows attacker to trigger unsafe or out of bounds memory access via crafted TIFF image file which could result into application crash, potential information disclosure or any other context-dependent impact
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Analysis
by VulDB Data Team • 03/31/2026
The heap buffer overflow vulnerability identified as CVE-2022-0891 resides within the libtiff library version 4.3.0, specifically within the ExtractImageSection function located in the tiffcrop.c source file. This flaw represents a critical security concern that arises from improper memory handling when processing specially crafted TIFF image files. The vulnerability manifests as a heap-based buffer overflow, which occurs when the application attempts to write data beyond the allocated memory boundaries, creating opportunities for malicious exploitation. The issue stems from inadequate bounds checking during the extraction of image sections, where the library fails to properly validate input parameters before performing memory operations.
The technical implementation of this vulnerability involves the manipulation of TIFF file structures to trigger an out-of-bounds memory access condition. When an attacker provides a maliciously constructed TIFF image, the ExtractImageSection function processes the image data without sufficient validation of section sizes or offsets, leading to memory corruption. This memory corruption can result in arbitrary code execution, denial of service conditions, or information disclosure depending on the execution context and memory layout. The vulnerability operates at the intersection of memory safety and file format parsing, making it particularly dangerous as it can be triggered through legitimate image processing operations that many applications perform routinely.
From an operational perspective, this vulnerability presents significant risks to systems that rely on libtiff for image processing, including document management systems, image servers, web applications, and digital asset management platforms. The impact extends beyond simple application crashes to potentially enable more sophisticated attacks such as remote code execution or privilege escalation depending on the target system's configuration. The vulnerability is particularly concerning because it can be exploited through common image file formats that are widely used across different platforms and applications, making the attack surface broad and difficult to contain. Security professionals must consider the potential for this vulnerability to be leveraged in automated attack scenarios where malicious TIFF files could be delivered through email attachments, web uploads, or file sharing platforms.
Mitigation strategies for CVE-2022-0891 should prioritize immediate patching of affected libtiff library versions to the latest stable releases that contain the necessary memory validation fixes. Organizations should implement comprehensive input validation measures for all TIFF file processing operations and consider deploying runtime protections such as address space layout randomization and stack canaries to reduce exploitability. The vulnerability aligns with CWE-121 heap-based buffer overflow conditions and could potentially map to ATT&CK technique T1059.007 for command and scripting interpreter execution if exploited successfully. Additionally, network segmentation and file type restrictions should be implemented to limit exposure, while regular security assessments should verify that all systems processing TIFF files are properly updated and monitored for signs of exploitation attempts.