CVE-2026-21048 in Media Codec
Summary
by MITRE • 07/10/2026
Out-of-bounds write in parsing DNG format in libimagecodec.media.quram.so prior to SMR Jul-2026 Release 1 allows remote attackers to write out-of-bounds memory.
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Analysis
by VulDB Data Team • 07/10/2026
This vulnerability represents a critical out-of-bounds write flaw in the libimagecodec.media.quram.so library component that processes DNG (Digital Negative) image format files. The issue exists in software versions prior to the SMR Jul-2026 Release 1 security patch, indicating this is a known vulnerability that was addressed in a subsequent security update cycle. The flaw specifically manifests during the parsing of DNG format files, which are widely used in professional photography and mobile device imaging applications. DNG files contain raw image data along with metadata that requires careful parsing to ensure proper rendering and storage. When an attacker crafts a malicious DNG file or exploits a vulnerable application handling such files, the out-of-bounds write vulnerability can be triggered.
The technical nature of this vulnerability stems from improper bounds checking during the parsing process of DNG format structures within the libimagecodec.media.quram.so library. This type of flaw typically occurs when the application reads or writes data to memory locations beyond the allocated buffer boundaries. The DNG format specification includes various sections such as IFD (Image File Directory) entries, tags, and metadata blocks that require precise parsing logic. When these structures contain malformed or oversized data fields, the parsing routine fails to validate array indices or buffer sizes properly, allowing subsequent write operations to overwrite adjacent memory locations. This vulnerability falls under CWE-787 Out-of-bounds Write, which is classified as a high-severity issue in the Common Weakness Enumeration catalog and represents a direct pathway for potential arbitrary code execution.
The operational impact of this vulnerability extends across various attack vectors including remote code execution and system compromise. Attackers can exploit this flaw by delivering malicious DNG files through email attachments, file sharing platforms, or web-based applications that process image uploads. Mobile devices, cameras, and imaging software applications that utilize the affected libimagecodec.media.quram.so library become vulnerable to remote exploitation. The attack surface is particularly concerning given that DNG files are commonly processed by mobile operating systems, digital asset management systems, and professional photography applications. This vulnerability can be leveraged by threat actors to execute arbitrary code on targeted systems, potentially leading to full system compromise or data exfiltration. According to ATT&CK framework, this represents a technique categorized under T1059 Command and Scripting Interpreter and T1203 Exploitation for Client Execution, where the exploitation occurs through client-side application vulnerabilities.
Mitigation strategies should prioritize immediate patch management to upgrade to SMR Jul-2026 Release 1 or later versions that contain the necessary security fixes. System administrators should conduct comprehensive vulnerability assessments to identify all instances of the affected library across networked devices and applications. Network segmentation and file validation measures can provide additional defense-in-depth layers by filtering suspicious DNG files at network boundaries or application entry points. Input sanitization techniques, including strict validation of file headers and metadata structures, should be implemented in applications that process DNG files to prevent malformed data from reaching the vulnerable parsing routines. Additionally, runtime protections such as address space layout randomization and stack canaries may help mitigate exploitation attempts, though these are secondary measures to proper code-level fixes. Regular security monitoring and incident response protocols should be enhanced to detect potential exploitation attempts targeting this vulnerability category.