CVE-2022-1043 in Linux
Summary
by MITRE • 08/29/2022
A flaw was found in the Linux kernel’s io_uring implementation. This flaw allows an attacker with a local account to corrupt system memory, crash the system or escalate privileges.
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Analysis
by VulDB Data Team • 04/03/2026
The vulnerability identified as CVE-2022-1043 represents a critical security flaw within the Linux kernel's io_uring subsystem, a high-performance asynchronous I/O interface designed to improve I/O operations for applications. This implementation flaw exists in the kernel's handling of certain I/O operations that utilize the io_uring API, which is widely adopted by modern applications requiring efficient I/O processing. The vulnerability specifically affects systems running Linux kernel versions that incorporate the io_uring implementation, making it prevalent across numerous enterprise and server environments that rely on this asynchronous I/O mechanism for optimal performance.
The technical nature of this flaw stems from improper validation and handling of user-supplied data within the io_uring subsystem's kernel code. When an attacker with local access submits maliciously crafted I/O operations through the io_uring interface, the kernel fails to properly validate input parameters, leading to memory corruption conditions. This memory corruption can manifest in various ways including heap corruption, stack corruption, or other memory management violations that ultimately result in system instability. The vulnerability's exploitation path involves leveraging the io_uring API's capabilities to manipulate kernel memory structures through carefully constructed I/O submission and completion operations.
The operational impact of CVE-2022-1043 extends beyond simple system crashes to encompass potential privilege escalation capabilities that could allow local attackers to gain elevated system privileges. This escalation potential makes the vulnerability particularly dangerous in multi-user environments or systems where untrusted users might have local access. The memory corruption effects can lead to system panics, kernel oops, or more subtle corruption that might persist and cause intermittent failures. The vulnerability affects systems where io_uring is actively used, which includes modern web servers, database systems, container runtimes, and various high-performance applications that rely on this kernel feature for efficient I/O handling.
From a cybersecurity perspective, this vulnerability aligns with CWE-121, which addresses stack-based buffer overflow conditions, and CWE-122, which covers heap-based buffer overflow scenarios. The flaw also maps to ATT&CK technique T1068, which involves the exploitation of local privileges, and T1059, which encompasses the execution of malicious code through system interfaces. Organizations should consider this vulnerability as part of their broader attack surface assessment, particularly in environments where local access controls might be insufficient or where legacy systems continue to operate without proper patching. The vulnerability's exploitation requires local access, making it less immediately dangerous than remote exploits but still highly concerning for privileged local accounts or compromised user sessions.
Mitigation strategies for CVE-2022-1043 should prioritize immediate kernel updates to versions that contain the necessary patches addressing the io_uring implementation flaw. System administrators should also implement additional monitoring for unusual I/O patterns or memory usage that might indicate exploitation attempts. Organizations should consider restricting local access where possible and implementing principle of least privilege controls to limit potential damage from compromised local accounts. The patching process should include thorough testing in staging environments to ensure compatibility with existing applications that utilize io_uring. Additionally, security teams should monitor for any emerging exploitation techniques targeting this specific vulnerability and maintain updated threat intelligence feeds to track potential adversary activity leveraging this flaw in the wild.