CVE-2026-86975 in iOS
Summary
by MITRE • 10/20/2026
An out-of-bounds read was addressed with improved bounds checking. This issue is fixed in iOS 27 and iPadOS 27, macOS Golden Gate 27, tvOS 27, visionOS 27, watchOS 27. Processing a maliciously crafted image may lead to unexpected process termination.
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Analysis
by VulDB Data Team • 10/20/2026
The vulnerability described constitutes an out-of-bounds read condition within the image processing subsystem of Apple's operating systems, including iOS, iPadOS, macOS, tvOS, visionOS, and watchOS. This type of flaw typically arises when a software component fails to properly validate the boundaries of memory buffers before reading data from them. In this specific instance, the system processes images that are maliciously crafted to exploit weaknesses in bounds checking logic. When an application or service attempts to parse such a malformed image file, it may attempt to access memory locations beyond the allocated buffer limits. This improper input validation allows for unauthorized read operations into adjacent memory regions, which can expose sensitive data residing outside the intended scope of the operation.
From a technical perspective, this vulnerability aligns with Common Weakness Enumeration (CWE) category CWE-125, Out-of-bounds Read. The core issue lies in the failure to enforce strict boundary checks during the parsing or rendering of image files. While many modern applications utilize sandboxing and other security mitigations that may limit the immediate impact of such a flaw, an out-of-bounds read remains a critical concern because it can potentially lead to information disclosure if the accessed memory contains credentials, session tokens, or other private user data. Furthermore, depending on the specific implementation details and the state of the heap at the time of exploitation, this condition could theoretically be leveraged as part of a more complex attack chain involving arbitrary code execution, although the primary reported impact is process termination.
The operational impact of exploiting this vulnerability primarily manifests as denial of service through unexpected process termination. When an application encounters memory access violations due to out-of-bounds reads, modern operating systems typically respond by terminating the offending process to prevent further corruption or security breaches. For end-users, this results in application crashes and potential loss of unsaved work if they are actively processing images when the vulnerability is triggered. While a simple crash might seem less severe than data exfiltration, it disrupts service availability and can be used for denial-of-service attacks against services that process user-uploaded content. Additionally, repeated crashes can degrade system stability and performance over time.
This incident maps to several tactics within the MITRE ATT&CK framework, particularly those related to Initial Access and Execution if an attacker uses a maliciously crafted image file as part of a phishing campaign or web-based attack vector. The exploitation technique falls under CWE-125 for the underlying weakness and may involve techniques associated with memory corruption vulnerabilities. Although the immediate effect is often limited to crashing the application, security researchers must consider that out-of-bounds reads can sometimes be chained with other flaws to achieve more severe outcomes such as remote code execution or privilege escalation. Therefore, treating this vulnerability with high priority for patching is essential even if the direct impact appears confined to availability issues.
Apple has addressed this issue by implementing improved bounds checking mechanisms within the image processing libraries across all affected platforms. These updates ensure that memory access operations are strictly validated against allocated buffer limits before any data retrieval occurs. To mitigate risks associated with similar vulnerabilities, organizations and individual users should prioritize applying these security patches immediately upon release. For developers integrating third-party image handling components, it is crucial to validate input sizes rigorously and utilize safe libraries that enforce strict boundary checks. Regular security audits of codebases dealing with external inputs can further reduce the likelihood of introducing such flaws in future software versions. Maintaining up-to-date systems remains the most effective defense against exploitation of these types of memory safety vulnerabilities.