CVE-2023-3576 in LibTIFF
Summary
by MITRE • 10/25/2023
A memory leak flaw was found in Libtiff's tiffcrop utility. This issue occurs when tiffcrop operates on a TIFF image file, allowing an attacker to pass a crafted TIFF image file to tiffcrop utility, which causes this memory leak issue, resulting an application crash, eventually leading to a denial of service.
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Analysis
by VulDB Data Team • 07/11/2025
The vulnerability identified as CVE-2023-3576 represents a critical memory leak flaw within Libtiff's tiffcrop utility, exposing systems to potential denial of service attacks through crafted input files. This memory leak occurs during the processing of TIFF image files, specifically when the tiffcrop utility handles malformed or specially constructed input images. The flaw demonstrates a classic security weakness in image processing applications where improper memory management allows attackers to exploit the utility's handling of malformed data structures. The vulnerability is particularly concerning because it can be triggered remotely through file-based attacks, making it accessible to adversaries who can craft malicious TIFF files to target systems running the affected utility.
The technical implementation of this memory leak stems from inadequate memory allocation and deallocation practices within the tiffcrop utility's processing pipeline. When the utility encounters a specially crafted TIFF file, it fails to properly release allocated memory resources during the parsing and processing phases, leading to progressive memory consumption that eventually exhausts available system resources. This behavior aligns with CWE-401, which categorizes improper handling of memory allocation and deallocation as a fundamental weakness in software security. The flaw specifically manifests when tiffcrop attempts to process malformed TIFF structures, causing the application to allocate memory for image data processing without subsequent proper cleanup, resulting in memory exhaustion over time.
The operational impact of this vulnerability extends beyond simple application crashes to create broader system stability issues that can affect availability and service continuity. When an attacker successfully triggers this memory leak through a crafted TIFF file, the tiffcrop utility becomes unresponsive or crashes entirely, disrupting legitimate image processing operations. This denial of service condition can be particularly damaging in environments where automated image processing workflows depend on the utility's functionality, such as digital asset management systems, document processing pipelines, or server environments handling batch image conversions. The vulnerability's exploitability is enhanced by the fact that TIFF files are commonly used in professional imaging workflows, making the attack surface particularly broad across various industries including publishing, healthcare, and digital media production.
Mitigation strategies for CVE-2023-3576 should prioritize immediate patch application from Libtiff maintainers, as this represents a direct software flaw requiring upstream fixes. Organizations should implement input validation measures to filter or reject suspicious TIFF files before processing, particularly in automated workflows where untrusted input is common. The defense-in-depth approach should include monitoring system memory usage patterns for unusual spikes that might indicate exploitation attempts, along with implementing sandboxing techniques to isolate the tiffcrop utility from critical system resources. Additionally, network segmentation and access controls should limit exposure of systems running the affected utility to only trusted users and processes, following ATT&CK framework recommendations for preventing remote code execution and denial of service attacks through file processing utilities. Regular security assessments and vulnerability scanning should be conducted to identify similar memory management flaws in other image processing components within the system infrastructure.