CVE-2018-4404 in macOS
Summary
by MITRE
In iOS before 11.4 and macOS High Sierra before 10.13.5, a memory corruption issue exists and was addressed with improved memory handling.
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Analysis
by VulDB Data Team • 06/25/2024
The vulnerability identified as CVE-2018-4404 represents a critical memory corruption flaw affecting Apple's iOS and macOS operating systems prior to their respective security updates. This issue stems from inadequate memory management practices that could potentially allow malicious actors to exploit memory handling mechanisms and compromise system integrity. The vulnerability specifically impacts iOS versions before 11.4 and macOS High Sierra versions before 10.13.5, indicating a widespread exposure across Apple's ecosystem during that time period. The memory corruption issue manifests through improper handling of memory allocation and deallocation processes, creating potential attack surfaces that could be leveraged for privilege escalation or arbitrary code execution.
The technical nature of this vulnerability aligns with CWE-125, which describes out-of-bounds read conditions, and CWE-787, which covers out-of-bounds write operations. These classifications reflect the fundamental memory safety issues that occur when applications fail to properly validate memory boundaries during allocation and access operations. The flaw likely occurs within kernel-level memory management functions where insufficient bounds checking allows attackers to manipulate memory layouts and potentially overwrite critical system structures. Such vulnerabilities are particularly dangerous because they can be exploited to gain elevated privileges and execute malicious code with system-level access. The attack vector typically involves crafting specific inputs or conditions that trigger the memory corruption during normal system operations, making the exploitation relatively stealthy and difficult to detect through standard monitoring mechanisms.
The operational impact of CVE-2018-4404 extends beyond simple system instability, as it represents a potential pathway for sophisticated attacks targeting Apple devices. Systems affected by this vulnerability could be compromised through various attack scenarios including malicious file execution, network-based attacks, or even physical access exploits depending on the specific implementation details. The memory corruption could enable attackers to bypass security controls such as code signing enforcement, sandbox restrictions, and other kernel-level protections that are fundamental to Apple's security architecture. Organizations and individuals using vulnerable systems face significant risks including data theft, unauthorized access to sensitive information, and potential system compromise that could affect enterprise environments where Apple devices are prevalent. The vulnerability's presence in both mobile and desktop operating systems creates a unified attack surface that requires comprehensive remediation across all affected platforms.
Mitigation strategies for CVE-2018-4404 primarily focus on immediate system updates and patches provided by Apple to address the underlying memory handling issues. Users should prioritize installing iOS 11.4 and macOS High Sierra 10.13.5 updates as these releases contain the necessary fixes for the memory corruption vulnerabilities. Additional defensive measures include implementing network segmentation to limit potential attack vectors, monitoring system logs for unusual memory allocation patterns, and maintaining robust backup procedures to ensure rapid recovery in case of successful exploitation attempts. Security teams should conduct thorough vulnerability assessments to identify any remaining systems that might be affected and implement continuous monitoring to detect potential exploitation attempts. The remediation process should also include reviewing system configurations and access controls to minimize the potential impact of any successful attacks that might occur before full patch deployment. Organizations should also consider implementing endpoint detection and response solutions that can identify anomalous memory behaviors indicative of exploitation attempts.