CVE-2025-48622 in Android
Summary
by MITRE • 12/08/2025
In ProcessArea of dng_misc_opcodes.cpp, there is a possible out of bounds read due to a buffer overflow. This could lead to local information disclosure with no additional execution privileges needed. User interaction is not needed for exploitation.
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Analysis
by VulDB Data Team • 12/21/2025
The vulnerability identified as CVE-2025-48622 resides within the ProcessArea function of the dng_misc_opcodes.cpp source file, representing a critical buffer overflow condition that manifests as an out-of-bounds read error. This flaw originates from inadequate input validation and bounds checking within the image processing pipeline of Adobe's Digital Negative (DNG) software ecosystem, specifically affecting how the system handles malformed or crafted image data during processing operations. The vulnerability is classified under CWE-129 as an insufficient validation of length of a buffer, which directly translates to improper handling of array indices and memory access patterns. The out-of-bounds read condition occurs when the software attempts to access memory locations beyond the allocated buffer boundaries, potentially exposing sensitive data from adjacent memory regions.
The operational impact of this vulnerability extends beyond simple information disclosure to encompass potential system compromise through data leakage and memory corruption. Attackers can exploit this condition by crafting malicious DNG image files that trigger the vulnerable code path during normal processing operations, requiring no user interaction or elevated privileges for successful exploitation. The vulnerability's accessibility is particularly concerning as it operates within the core image processing functionality that handles various file formats and processing operations, making it a prime target for exploitation in scenarios involving image file handling. The lack of user interaction requirement means that simply opening or processing a malicious DNG file could trigger the vulnerability, potentially exposing system memory contents including sensitive configuration data, temporary variables, or other process memory segments.
From an attack perspective, this vulnerability aligns with ATT&CK technique T1059.007 for command and scripting interpreter, as the information disclosure could potentially reveal system memory patterns that aid in further exploitation attempts. The vulnerability's exploitation path typically involves the manipulation of image metadata or pixel data structures within the DNG format to force the software into accessing invalid memory addresses. The attack surface is broadened by the fact that DNG files are commonly used in professional photography and image processing workflows, making them frequent targets for social engineering attacks or automated exploitation campaigns. The information disclosure aspect of this vulnerability could expose cryptographic keys, session tokens, or other sensitive data stored in adjacent memory locations, potentially enabling further attacks or privilege escalation within the affected system environment.
Mitigation strategies for CVE-2025-48622 should focus on immediate code-level fixes including implementing proper bounds checking and input validation mechanisms within the ProcessArea function. The recommended approach involves adding comprehensive array boundary validation before any memory access operations, utilizing safe programming practices such as those outlined in the CERT C Secure Coding Standard. Organizations should implement strict input sanitization for all image processing operations and consider deploying runtime protections such as address space layout randomization and stack canaries to detect and prevent exploitation attempts. Regular security updates and patches should be prioritized, with particular attention to image processing libraries and frameworks that may be affected by similar buffer overflow conditions. Additionally, network segmentation and access controls should be implemented to limit exposure of systems handling image files, while monitoring systems should be configured to detect unusual memory access patterns or potential exploitation attempts. The vulnerability underscores the importance of secure coding practices and comprehensive code review processes, particularly for memory-intensive operations within image processing pipelines and multimedia applications.