CVE-2022-2869 in LibTIFF
Summary
by MITRE • 08/18/2022
libtiff's tiffcrop tool has a uint32_t underflow which leads to out of bounds read and write in the extractContigSamples8bits routine. An attacker who supplies a crafted file to tiffcrop could trigger this flaw, most likely by tricking a user into opening the crafted file with tiffcrop. Triggering this flaw could cause a crash or potentially further exploitation.
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Analysis
by VulDB Data Team • 05/28/2026
The vulnerability identified as CVE-2022-2869 resides within the libtiff library's tiffcrop utility, specifically manifesting as a uint32_t underflow that results in out-of-bounds memory access within the extractContigSamples8bits routine. This flaw represents a critical security issue that can be exploited through maliciously crafted TIFF image files, potentially leading to system compromise or denial of service conditions. The vulnerability stems from insufficient input validation and improper handling of integer arithmetic operations within the image processing pipeline of the tiffcrop tool.
The technical implementation of this vulnerability involves a specific arithmetic operation where a uint32_t variable undergoes underflow due to improper bounds checking during image data processing. When the tiffcrop utility processes a crafted TIFF file, the extractContigSamples8bits routine attempts to calculate memory offsets or array indices that exceed the valid range of a 32-bit unsigned integer. This underflow condition creates memory access patterns that extend beyond allocated buffer boundaries, resulting in both read and write operations occurring at unintended memory locations. The flaw operates at the intersection of integer overflow/underflow conditions and memory safety violations, aligning with CWE-191 which specifically addresses unsigned integer underflow.
The operational impact of this vulnerability extends beyond simple crash conditions to potentially enable more sophisticated exploitation techniques. An attacker who successfully crafts a malicious TIFF file could trigger the underflow condition through social engineering tactics, persuading users to open the file with tiffcrop or other applications that utilize the vulnerable library. When executed, the flaw can cause immediate application crashes, but more concerning is the potential for subsequent exploitation through memory corruption that could lead to arbitrary code execution. The vulnerability affects systems where libtiff is used for image processing, particularly those handling untrusted image data from external sources.
Mitigation strategies for CVE-2022-2869 should focus on immediate patching of affected libtiff versions, as the vulnerability requires modification of the underlying library code to properly validate integer operations and prevent underflow conditions. System administrators should prioritize updating their libtiff installations to versions containing the patched extractContigSamples8bits routine with proper bounds checking mechanisms. Additional defensive measures include implementing strict input validation for image files, particularly when processing user-uploaded content, and deploying sandboxing techniques to isolate image processing operations. Network-level protections such as content filtering and application whitelisting can also reduce the attack surface by preventing execution of vulnerable tiffcrop commands with untrusted input data.
The vulnerability demonstrates the importance of robust integer arithmetic validation in image processing libraries, particularly when handling user-supplied binary data formats. This flaw represents a classic example of how seemingly benign image processing operations can expose critical security vulnerabilities through improper input validation and arithmetic handling. Organizations relying on libtiff for image processing should conduct comprehensive vulnerability assessments of their software stacks and implement monitoring for potential exploitation attempts. The security implications extend to any system where TIFF image files are processed, including web applications, document management systems, and digital asset repositories that utilize the affected library components.