CVE-2026-86885 in iOS
Summary
by MITRE • 09/15/2026
An input validation issue was addressed with improved input validation. This issue is fixed in iOS 27 and iPadOS 27. An attacker in radio range may be able to cause unexpected system termination.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Analysis
by VulDB Data Team • 09/15/2026
The vulnerability described involves a critical flaw within the wireless communication subsystems of Apple devices running iOS or iPadOS, specifically affecting versions prior to 27. This issue stems from insufficient input validation mechanisms when processing data received via radio frequency interfaces, such as Bluetooth Low Energy (BLE) or Wi-Fi Direct. In complex operating systems like iOS and iPadOS, the kernel and various system daemons must parse incoming network packets with strict adherence to expected formats and constraints. When this validation is lax, an attacker positioned within physical proximity can craft maliciously formatted data payloads that exploit these parsing errors. The primary consequence of this flaw is a denial-of-service condition, manifesting as unexpected system termination or reboot cycles on the affected device. This type of vulnerability falls under the category of CWE-20: Improper Input Validation, where the software fails to verify that user-supplied input conforms to expected specifications before processing it.
From an operational perspective, this vulnerability poses a significant risk to both personal and enterprise environments due its proximity-based attack vector. An adversary does not require network authentication or remote access credentials; instead, they only need to be within radio range of the target device. This characteristic aligns with ATT&CK technique T1569: System Services, specifically leveraging local system services that handle wireless communications. The ability to cause unexpected system termination disrupts availability, which is a core pillar of information security alongside confidentiality and integrity. For individual users, this could lead to data loss if unsaved work is interrupted or create privacy concerns by forcing the device into an unsecured state during reboot sequences where certain protections might be temporarily bypassed. In enterprise settings, such instability can disrupt productivity and compromise the reliability of mobile devices used for business operations, especially in scenarios involving critical communications or secure access protocols that depend on continuous uptime.
The technical root cause likely resides in how the operating system handles malformed frames or packets from wireless peripherals. When a device receives data over Bluetooth or similar short-range technologies, it must validate headers, payload sizes, and protocol states against predefined limits. If an attacker sends a packet with oversized fields, invalid state transitions, or corrupted checksums that trigger buffer overflow conditions or logic errors in the kernel space, the system may encounter unrecoverable errors leading to a panic or automatic restart. This is particularly dangerous because it can be triggered repeatedly by an automated script running on a nearby device, effectively creating a persistent denial-of-service attack without any interaction from the victim user. The lack of robust sanitization allows these malformed inputs to propagate deeper into system processes than intended, exhausting resources or corrupting memory structures essential for stable operation.
Mitigation strategies primarily involve applying the software updates provided by Apple in iOS 27 and iPadOS 27, which contain patches designed to harden input validation routines within the wireless stack. Administrators should ensure that all managed devices are updated promptly to close this attack surface. Additionally, users can reduce exposure by disabling unnecessary wireless services when not in use, such as turning off Bluetooth or Wi-Fi scanning features if they are not actively needed for connectivity purposes. This reduces the window of opportunity for an attacker within radio range to exploit the vulnerability. Furthermore, implementing network segmentation and monitoring tools that detect anomalous traffic patterns from nearby devices can provide early warning indicators of exploitation attempts, although proximity-based attacks remain challenging to mitigate through purely software-defined perimeter controls alone due to their physical nature.