CVE-2026-28981

7.8

Apple · macOS

A buffer overflow vulnerability in Apple macOS allows an attacker to achieve arbitrary code execution by tricking a user into processing a maliciously crafted image file.

Executive summary

A critical buffer overflow vulnerability in Apple macOS allows for arbitrary code execution, posing a significant risk to system integrity and user data security.

Vulnerability

This is a memory corruption vulnerability caused by a buffer overflow in image processing components. The vulnerability requires user interaction, such as opening a malicious image file, and does not require pre-existing system privileges to execute.

Business impact

Successful exploitation of this vulnerability grants an attacker the ability to execute arbitrary code with the privileges of the logged-in user. This could lead to a full system compromise, unauthorized access to sensitive files, or the installation of persistent malware. Given the CVSS score of 7.8, the threat is considered High, as it provides a direct path for attackers to gain control over local workstations or servers.

Remediation

Immediate Action: Apply the vendor-provided security updates by upgrading to macOS Sequoia 15.7.8, macOS Sonoma 14.8.8, or macOS Tahoe 26.6 immediately.

Proactive Monitoring: Monitor system logs for unusual process execution patterns or unexpected application crashes that may coincide with the opening of image files.

Compensating Controls: Exercise caution when opening image files from untrusted or unknown sources, as this vulnerability requires user interaction to trigger.

Exploitation status

Public Exploit Available: No (exploit_available: false)

Analyst recommendation

The severity of this vulnerability necessitates prompt action to protect the integrity of the computing environment. Administrators should prioritize the deployment of the identified macOS updates across all managed endpoints to eliminate the underlying buffer overflow risk. Failure to patch these systems leaves users vulnerable to remote attackers who may leverage social engineering to deliver malicious image files.

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