CVE-2026-65393 in Xcode
Summary
by MITRE • 09/15/2026
A permissions issue was addressed with improved validation. This issue is fixed in Xcode 27, macOS Golden Gate 27. An app may be able to access user-sensitive data.
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Analysis
by VulDB Data Team • 09/15/2026
The vulnerability described involves a failure in the operating system's permission enforcement mechanisms within Apple's ecosystem, specifically affecting versions prior to Xcode 27 and macOS Golden Gate 27. This issue stems from insufficient validation of access control policies when applications request or attempt to utilize sensitive user data. In modern mobile and desktop environments, sandboxing is a critical security feature designed to isolate application processes from one another and from the underlying operating system resources. When an app requests access to protected areas such as contacts, photos, location services, or keychain items, the system must rigorously verify that the requesting process has been explicitly granted permission by the user through proper authorization dialogs. The flaw identified here indicates that this validation step was either bypassed, incorrectly evaluated, or lacked sufficient checks against unauthorized contexts, allowing an application to retrieve data it should not have access to under normal security policies.
From a technical perspective, this type of vulnerability is classified as an Improper Access Control issue, which aligns with CWE-269 in the Common Weakness Enumeration standard. The core defect lies in the logic that governs how permissions are checked at runtime. Instead of strictly enforcing the principle of least privilege, where applications only receive the minimum level of access necessary to function, the flawed validation allowed for elevation of privileges or unauthorized data exfiltration. This could occur if an application exploited a race condition during permission checks, manipulated API calls to bypass sandbox restrictions, or utilized legacy code paths that did not adhere to newer security protocols introduced in subsequent updates. The absence of robust input validation regarding the source and intent of the access request created an opening for malicious actors to craft requests that appear legitimate but effectively circumvent user consent mechanisms.
The operational impact of this vulnerability is significant, as it directly compromises user privacy and data integrity. An attacker who can exploit this flaw could develop a malicious application or repurpose a legitimate one with added exploits to silently access sensitive personal information without the user's knowledge or explicit permission. This includes accessing private messages, financial records stored in keychains, health data, or detailed location histories. Such unauthorized access violates fundamental trust between users and their devices, potentially leading to identity theft, targeted phishing attacks based on harvested personal details, or further compromise of linked accounts if credentials are exposed. The severity is heightened by the fact that these permissions are typically granted once at installation or first use, meaning a single successful exploit could provide persistent access to large volumes of sensitive data over time.
To mitigate this risk, users must ensure their devices and development tools are updated to the latest versions, specifically Xcode 27 and macOS Golden Gate 27, where Apple has implemented improved validation logic for permission requests. For developers, it is essential to review application code to ensure that all access to protected resources follows current best practices, including verifying permissions before each sensitive operation rather than assuming prior authorization remains valid. Security auditors should focus on testing the boundary conditions of API calls related to user data access, looking for scenarios where validation might be skipped or bypassed. Furthermore, adhering to ATT&CK techniques such as T1005 Data from Local System and T1213 Data from Information Repositories can help in understanding how attackers typically leverage these flaws, allowing for more targeted defensive monitoring and detection strategies within enterprise environments.