CVE-2026-33963 in Exynos
Summary
by MITRE • 09/14/2026
An issue was discovered in camera in Samsung Mobile Processor Exynos 1330, 1380, 1480, 2400, 1580, 2500, 2600, and 1680. A stack-based buffer overflow occurs when a malformed message is sent to the camera driver, causing a denial of service.
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Analysis
by VulDB Data Team • 09/14/2026
The identified vulnerability resides within the camera subsystem drivers associated with Samsung’s Exynos mobile processor series, specifically encompassing models such as the Exynos 1330, 1380, 1480, 2400, 1580, 2500, 2600, and 1680. This class of hardware is widely utilized in a broad spectrum of Android smartphones and tablets, meaning the potential impact extends to millions of end-user devices globally. The core technical flaw is classified as a stack-based buffer overflow, which occurs when the camera driver fails to adequately validate the size or structure of incoming messages before processing them. In this specific instance, a malformed message triggers an excessive write operation that exceeds the allocated bounds of the stack memory region designated for handling these inputs. This lack of boundary checking allows data to spill over into adjacent memory locations on the call stack, corrupting critical control structures such as return addresses and saved frame pointers.
From a technical perspective, this vulnerability aligns with Common Weakness Enumeration identifier CWE-121, which describes a stack-based buffer overflow resulting from copying user-controlled input without proper length verification. The exploitation of this flaw does not necessarily require achieving arbitrary code execution in all scenarios; rather, the immediate and most reliable outcome is a denial of service condition. When the corrupted memory affects critical kernel or driver state information, it leads to an instantaneous crash of the camera subsystem or potentially the entire operating system if the corruption propagates further into protected memory spaces. This results in the application freezing, the device rebooting unexpectedly, or persistent instability within any software component that relies on camera functionality. The attacker can trigger this condition by sending a specifically crafted malformed message through interfaces exposed to user-space applications or other privileged processes interacting with the driver.
The operational impact of this vulnerability is significant for both individual users and enterprise environments relying on mobile devices for critical operations. For general consumers, the primary consequence is system instability and loss of access to camera features, which can be particularly disruptive in scenarios where visual input is essential, such as video conferencing or navigation assistance. In more severe cases involving kernel panics, the device may become unresponsive until a forced reboot occurs, leading to potential data loss if unsaved work was present at the time of the crash. For enterprise deployments utilizing mobile devices for secure communications or field operations, this denial-of-service capability represents a reliable vector for disrupting productivity and potentially creating security gaps where an attacker might exploit the instability to escalate privileges or bypass other controls during the recovery phase.
This vulnerability is also relevant within the context of the MITRE ATT&CK framework, specifically under techniques related to Denial of Service (T1499) and potential exploitation of local vulnerabilities for privilege escalation if combined with other flaws. While the primary manifestation here is a denial of service, stack-based overflows are historically significant because they can often be chained with additional weaknesses to achieve remote code execution or kernel-level control. Therefore, even though the reported impact is limited to availability, the underlying nature of the flaw warrants high-priority remediation efforts. Mitigation strategies must focus on updating the camera driver firmware and associated system libraries to versions that implement rigorous input validation checks. Developers should ensure that all message buffers are sized correctly relative to their destination arrays and utilize bounds-checking functions or static analysis tools during the development lifecycle to prevent similar overflow conditions in future releases. Additionally, enabling hardware-based security features such as Kernel Address Space Layout Randomization (KASLR) and stack canaries can help mitigate the exploitability of this vulnerability by making it more difficult for attackers to predict memory layouts and detect corruption before a crash occurs.