CVE-2026-112429 in macOS
Summary
by MITRE • 10/26/2026
An out-of-bounds read was addressed with improved bounds checking. This issue is fixed in macOS Golden Gate 27.2, macOS Sequoia 15.8.2, macOS Tahoe 26.7.2. Processing a maliciously crafted file may disclose process memory.
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Analysis
by VulDB Data Team • 10/26/2026
The vulnerability described constitutes an out-of-bounds read condition within the processing logic of files on Apple operating systems including macOS Golden Gate 27.2, macOS Sequoia 15.8.2, and macOS Tahoe 26.7.2. This class of defect is technically classified under CWE-125 which denotes Out-of-Bounds Read, a scenario where software reads data beyond the intended boundaries of a buffer or memory region. The root cause lies in insufficient validation of input parameters during file parsing operations, specifically failing to enforce strict bounds checking before accessing memory locations associated with the processed content. When an attacker supplies a maliciously crafted file designed to exploit this logic error, the application may attempt to read from memory addresses that are not allocated for its use or contain sensitive data belonging to other processes.
The operational impact of this vulnerability is significant as it enables information disclosure through process memory leakage. By triggering the out-of-bounds access, an attacker can potentially extract arbitrary bytes from the target process's address space. This capability allows for the exfiltration of sensitive information such as cryptographic keys, session tokens, passwords, or other confidential data residing in memory at the time of exploitation. Such leaks compromise the confidentiality integrity of the system and can serve as a precursor to more severe attacks like privilege escalation or remote code execution if combined with additional techniques. The attack vector is typically local but can be facilitated remotely if the vulnerable component processes files received from untrusted sources, such as through email attachments or web downloads.
From a threat intelligence perspective this vulnerability aligns with ATT&CK technique T1005 which refers to Data from Local System and specifically relates to sub-techniques involving memory scraping or direct access to process memory. The exploitation relies on the attacker's ability to induce the application into an invalid state where boundary checks are bypassed, allowing unauthorized read operations that would otherwise be blocked by standard security controls like Address Space Layout Randomization (ASLR) if implemented correctly without such logic flaws. Defenders should note that while ASLR provides a layer of defense against memory corruption vulnerabilities it does not prevent information disclosure resulting from logical errors in bounds checking unless combined with other mitigations like stack canaries or control flow integrity mechanisms which may also be bypassed depending on the specific implementation details.
Mitigation strategies primarily involve applying the vendor-provided software updates that address these issues by implementing improved bounds checking routines within the file processing components. Organizations should ensure that all endpoints running macOS Golden Gate, Sequoia, and Tahoe are patched to versions 27.2, 15.8.2, and 26.7.2 respectively or later where available. In addition to patching security teams should monitor for anomalous behavior indicative of memory scraping such as unusual spikes in CPU usage during file processing operations or unexpected network connections following the opening of specific document types. Implementing application control policies that restrict execution of unsigned code and enforcing strict input validation at the gateway level can further reduce the risk surface by preventing malicious files from reaching vulnerable applications in the first place. Regular vulnerability scanning and penetration testing focused on memory safety issues are recommended to identify similar weaknesses before they can be exploited in production environments.