CVE-2026-21119 in Samsung
Summary
by MITRE • 10/12/2026
Out-of-bounds read and write in lib_sag_ai_sound_sep_v2.00.so prior to SMR Oct-2026 Release 1 allows local attackers to read and write out-of-bounds memory.
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Analysis
by VulDB Data Team • 10/12/2026
The vulnerability identified within the lib_sag_ai_sound_sep_v2.00.so library represents a critical class of memory safety defects, specifically encompassing both out-of-bounds reads and out-of-bounds writes. This shared object file is part of an audio processing subsystem that likely handles artificial intelligence-driven sound separation tasks. The presence of these flaws indicates insufficient boundary checking during array indexing or pointer arithmetic operations within the native code implementation. When a local attacker interacts with this component, they can trigger memory access violations by supplying crafted input data that exceeds the allocated buffer limits. This behavior aligns directly with CWE-125 for out-of-bounds read and CWE-787 for out-of-bounds write, which are among the most prevalent causes of software vulnerabilities in systems programming languages like C and C++.
The operational impact of these memory corruption issues is severe due to their potential for exploitation. An out-of-bounds read allows an attacker to leak sensitive information from adjacent memory locations that were not intended to be accessed by the application logic. This could result in the disclosure of cryptographic keys, user credentials, or other proprietary data residing in the process address space. Conversely, an out-of-bounds write is particularly dangerous as it enables arbitrary code execution with the privileges of the compromised service. By overwriting adjacent memory structures such as function pointers, return addresses, or object metadata, a local attacker can hijack control flow and execute malicious payloads on the device. This capability effectively bypasses standard application sandboxing mechanisms if the library runs with elevated permissions.
From a threat modeling perspective, this vulnerability facilitates privilege escalation scenarios where a low-privileged user gains higher-level access to the operating system or underlying hardware resources. In mobile or embedded environments utilizing Qualcomm Snapdragon Audio platforms, such libraries are often integral to core audio services that run persistently in the background. The ability for local attackers to exploit these flaws means that any application with limited permissions can potentially compromise the integrity and confidentiality of the entire device ecosystem. This aligns with ATT&CK techniques related to memory corruption exploitation and lateral movement within a trusted environment, allowing adversaries to establish persistence or move laterally across system components.
Mitigation strategies must focus on both immediate patching and long-term architectural improvements. The primary remediation is for vendors to release an updated version of the lib_sag_ai_sound_sep library that incorporates rigorous bounds checking before any memory access operations occur. Developers should implement static analysis tools during the build process to detect potential buffer overflows early in the development lifecycle. Additionally, enabling compiler-level security features such as stack canaries, Address Sanitizers, and Control Flow Integrity will help mitigate exploitation attempts even if a flaw persists temporarily. For end-users, ensuring that device firmware is updated to include patches released after the SMR Oct-2026 Release 1 threshold is critical to closing this attack vector. Regular security audits of native code components are essential to maintain resilience against memory corruption vulnerabilities in complex audio processing pipelines.