CVE-2025-32468 in Image Decoding Library
Summary
by MITRE • 08/26/2025
A memory corruption vulnerability exists in the BMPv3 Image Decoding functionality of the SAIL Image Decoding Library v0.9.8. When loading a specially crafted .bmp file, an integer overflow can be made to occur when calculating the stride for decoding. Afterwards, this will cause a heap-based buffer to overflow when decoding the image which can lead to remote code execution. An attacker will need to convince the library to read a file to trigger this vulnerability.
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Analysis
by VulDB Data Team • 09/03/2025
The vulnerability identified as CVE-2025-32468 represents a critical memory corruption flaw within the SAIL Image Decoding Library version 0.9.8, specifically affecting the BMPv3 image decoding component. This issue stems from inadequate input validation and improper integer handling during the image processing pipeline, creating a dangerous condition that can be exploited remotely. The vulnerability manifests when the library attempts to decode maliciously crafted BMP files, where the flawed implementation fails to properly validate image metadata before proceeding with memory allocation operations.
The technical root cause of this vulnerability lies in an integer overflow condition that occurs during stride calculation for BMP image decoding. When processing a specially constructed .bmp file, the library performs arithmetic operations on image dimensions without proper bounds checking, leading to an integer overflow that results in incorrect memory allocation sizes. This miscalculation subsequently triggers a heap-based buffer overflow during the actual image data decoding phase. The overflow occurs because the system allocates insufficient memory for the buffer that will contain the decoded image data, creating a situation where subsequent writes exceed the allocated memory boundaries.
From an operational perspective, this vulnerability presents a significant risk to systems that utilize the SAIL library for image processing, particularly those exposed to untrusted image inputs from external sources. The remote code execution capability means that attackers can potentially execute arbitrary code on affected systems without requiring local access or user interaction beyond convincing the vulnerable application to process a malicious file. This makes the vulnerability particularly dangerous in web applications, content management systems, or any platform that accepts image uploads from untrusted users. The attack vector is straightforward requiring only the delivery of a crafted BMP file to the vulnerable library, making it an attractive target for automated exploitation campaigns.
The vulnerability aligns with CWE-190, Integer Overflow or Wraparound, and CWE-121, Stack-based Buffer Overflow, while also mapping to ATT&CK techniques including T1203, Exploitation for Client Execution, and T1059, Command and Scripting Interpreter. Organizations utilizing the SAIL library must implement immediate mitigations including updating to patched versions, implementing strict input validation for image files, and deploying sandboxing mechanisms around image processing operations. Additionally, network-based mitigations such as content filtering and file type validation should be enforced at multiple layers of the infrastructure to prevent exploitation attempts. The recommended remediation involves upgrading to the latest stable version of the SAIL library where the integer overflow and buffer overflow conditions have been properly addressed through enhanced input validation and robust memory management practices.