CVE-2025-52930 in Image Decoding Library
Summary
by MITRE • 08/26/2025
A memory corruption vulnerability exists in the BMPv3 RLE Decoding functionality of the SAIL Image Decoding Library v0.9.8. When decompressing the image data from a specially crafted .bmp file, a heap-based buffer overflow can occur which allows for 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-2025-52930 represents a critical memory corruption flaw within the SAIL Image Decoding Library version 0.9.8, specifically affecting the BMPv3 RLE decoding component. This issue stems from inadequate input validation and memory management during the decompression process of bitmap image files. The flaw manifests when the library processes specially crafted .bmp files that contain malformed RLE (Run-Length Encoding) data, creating conditions where heap-based buffer overflow conditions can occur. The vulnerability is particularly concerning as it enables remote code execution capabilities, making it a severe threat vector for attackers who can influence the library's operation through file processing.
The technical root cause of this vulnerability lies in the improper handling of decompressed image data within the RLE decoding algorithm. When the SAIL library encounters a BMPv3 file with maliciously constructed RLE data, the decoding routine fails to properly bounds-check memory allocations or validate the size of decompressed data segments. This allows attackers to overflow heap-allocated buffers by providing carefully crafted input that exceeds expected buffer boundaries. The flaw operates at the intersection of memory safety issues and image processing protocols, where the library's assumption about data size and structure proves incorrect. This vulnerability maps directly to CWE-121, which describes heap-based buffer overflow conditions, and represents a classic example of improper input validation leading to memory corruption.
The operational impact of CVE-2025-52930 extends beyond simple data corruption, as it provides attackers with remote code execution capabilities that can be leveraged across various attack vectors. Since the vulnerability requires only that the library process a malicious file, it can be exploited through web applications, email attachments, or any system that utilizes the SAIL library for image processing. The attack surface is broad as the library is likely integrated into numerous applications, making this vulnerability potentially exploitable in multiple contexts including web browsers, image viewers, and content management systems. The remote code execution capability allows attackers to gain full control over affected systems, potentially leading to data exfiltration, privilege escalation, or further network infiltration. This vulnerability aligns with ATT&CK technique T1059.007 for command and script interpreter execution, as successful exploitation would likely involve executing malicious code within the target system's memory space.
Mitigation strategies for CVE-2025-52930 should focus on immediate library updates and input validation enhancements. The primary recommendation involves upgrading to a patched version of the SAIL Image Decoding Library that addresses the buffer overflow conditions in the BMPv3 RLE decoding functionality. Organizations should implement strict file validation measures that verify image file integrity before processing, particularly for files from untrusted sources. Input sanitization should include comprehensive bounds checking and size validation for all decompressed image data segments. Network-level defenses such as web application firewalls and email filtering systems should be configured to block suspicious image file types or flag files with anomalous RLE encoding patterns. Additionally, system administrators should consider implementing application whitelisting policies that restrict which applications can utilize the vulnerable library, while also monitoring for unusual file processing activities that might indicate exploitation attempts. The vulnerability demonstrates the importance of robust memory safety practices in image processing libraries and underscores the necessity of thorough testing and validation of decompression algorithms against malicious inputs.