CVE-2026-48176 in Exynos 1080
Summary
by MITRE • 11/05/2026
A memory corruption vulnerability caused by improper validation of messages
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Analysis
by VulDB Data Team • 11/05/2026
The identified security flaw represents a critical class of software defects rooted in the failure to properly validate input data prior to processing, leading directly to memory corruption. This type of vulnerability typically arises when an application accepts external or internal messages without sufficiently checking their length, structure, or content boundaries against expected limits. When such validation is absent or flawed, malicious actors can craft specially formatted inputs that exceed allocated buffer sizes or trigger unintended logic paths within the program's execution flow. The core technical issue lies in the disparity between the assumed safe state of memory and the actual state induced by oversized or malformed messages, which allows data to spill over into adjacent memory regions. This overflow condition disrupts the integrity of the heap or stack, potentially overwriting critical control structures such as return addresses, function pointers, or exception handlers.
From a technical perspective, this vulnerability aligns closely with Common Weakness Enumeration categories related to buffer handling and input validation failures. Specifically, it maps to CWE-120 Buffer Copy without Checking Size of Input which describes the classic scenario where data is copied into a fixed-size buffer without verifying that the source fits within the destination limits. Additionally, depending on the specific mechanism of exploitation, it may also relate to CWE-787 Out-of-bounds Write or CWE-416 Use After Free if the corruption involves dereferencing memory that has been deallocated due to the malformed input triggering premature cleanup routines. The lack of rigorous boundary checks means that the application does not enforce strict type checking or length constraints, allowing attackers to inject arbitrary data structures that manipulate internal state variables in ways unintended by the software developers.
The operational impact of such a vulnerability is severe and multifaceted, primarily centering on the potential for remote code execution with the privileges of the affected process. By carefully crafting the payload within the malformed message, an attacker can achieve control over the instruction pointer or other critical registers, thereby hijacking the flow of execution to run arbitrary shellcode. Beyond direct code execution, this memory corruption can lead to denial of service conditions by crashing the application through segmentation faults or general protection violations when invalid memory addresses are accessed. In network-facing services, this vulnerability poses a significant risk as it allows for remote exploitation without requiring user interaction beyond sending the crafted packet, making it particularly dangerous in internet-exposed environments where automated scanning tools actively seek out such weaknesses to compromise systems at scale.
Mitigation strategies must focus on implementing robust input validation and employing modern memory-safe programming practices. Developers should enforce strict length checks before any copy operations occur, ensuring that source data never exceeds the capacity of the destination buffer. Utilizing safe string handling libraries or languages with automatic memory management can significantly reduce the risk of such errors by abstracting low-level pointer arithmetic away from application logic. Furthermore, deploying defense-in-depth measures is essential to mitigate exploitation even if a vulnerability exists in the codebase. This includes enabling compiler-based protections such as Stack Canaries, Address Space Layout Randomization, and Data Execution Prevention which make it considerably more difficult for attackers to reliably execute injected code or predict memory layouts required for successful exploits. Regular security auditing and static analysis tools should be integrated into the development lifecycle to detect these validation gaps early in the software design phase rather than relying solely on runtime detection mechanisms.