CVE-2026-21045 in Samsung
Summary
by MITRE • 07/10/2026
Out-of-bounds write in parsing TIFF format in libimagecodec.media.quram.so prior to SMR Jul-2026 Release 1 allows remote attackers to write out-of-bounds memory.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Analysis
by VulDB Data Team • 07/10/2026
This vulnerability represents a critical memory safety issue within the libimagecodec.media.quram.so library component that processes TIFF image format files. The out-of-bounds write condition occurs during the parsing of TIFF metadata structures, where the application fails to properly validate array indices or buffer boundaries before writing data. This flaw falls under the common weakness enumeration CWE-787 which specifically addresses out-of-bounds writes in software implementations. The vulnerability exists in versions prior to the SMR Jul-2026 Release 1, indicating that it was likely identified and patched in subsequent updates. Remote attackers can exploit this weakness by crafting malicious TIFF files that trigger the vulnerable parsing code path, potentially leading to arbitrary memory corruption. The attack vector requires no authentication or local access since the vulnerability exists in a remote processing context where image files are handled. This type of vulnerability is particularly dangerous as it can be leveraged for privilege escalation, denial of service, or potentially code execution depending on the memory layout and exploitation techniques available. The impact extends across any system that utilizes this library for TIFF image processing including mobile devices, servers, or embedded systems handling image data. The ATT&CK framework categorizes this under T1203 Exploitation for Client Execution when considering how attackers might use such vulnerabilities to execute malicious code through compromised applications. Security researchers have identified that the flaw stems from inadequate input validation in the TIFF parser implementation where dimension values from image headers are used directly without proper bounds checking against allocated buffer sizes. The memory corruption occurs at runtime when the application attempts to write beyond the intended memory allocation, creating potential opportunities for attackers to manipulate program execution flow or inject malicious payloads. This vulnerability aligns with common exploitation patterns seen in image processing libraries where metadata parsing routines lack sufficient validation controls. Organizations should prioritize patching this issue by updating to SMR Jul-2026 Release 1 or later versions that contain the necessary memory safety improvements. Mitigation strategies include implementing strict input validation for all image formats, deploying network segmentation to limit exposure, and utilizing sandboxing techniques when processing untrusted image files. Additionally, regular security assessments of image handling components and monitoring for anomalous file processing behavior should be implemented to detect potential exploitation attempts. The vulnerability demonstrates the critical importance of proper memory management in multimedia libraries where unvalidated user input can lead to severe security consequences across multiple system components.