Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessAttacker distributes malicious app
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DeliveryUser installs app on vulnerable device
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ExploitUser launches app
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ExecutionApp submits crafted input to kernel interface
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PersistKernel returns sensitive state without sanitization
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ImpactApp reads kernel memory layout data
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V2 - Validation and Business Logic Input validation, allowlisting
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| Exploitation Conditions | Exploitation requires a malicious app to be installed and actively launched by the user on an affected Apple device running iOS/iPadOS or macOS prior to the 26.5.2 fixes - the UI:R component confirms this user-interaction prerequisite. The app does not require elevated system privileges (PR:N), meaning any sandboxed App Store or sideloaded application can trigger the flaw. Exploitation is limited to local access (AV:L): there is no remote code path, so network-only adversaries cannot exploit this directly. The flaw is further constrained to information disclosure only (C:H, I:N, A:N) - an attacker cannot write kernel memory or crash the system through this path alone. Non-default configurations are not required; the vulnerable behavior is present in standard iOS/iPadOS and macOS installations. The practical limiting factor is the requirement for the user to install and run an attacker-controlled app. |
| Impact | The CVSS 3.1 vector AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N scores 5.5 (Medium), reflecting a local attack with high confidentiality impact but no integrity or availability consequence. The UI:R component is notable: exploitation requires the user to actively run a malicious app, limiting drive-by attack paths. EPSS at 0.19% (9th percentile) reinforces that exploitation is not currently observed in the wild at scale. SSVC classifies exploitation as 'none', automatable as 'no', and technical impact as 'partial' - all signals pointing to a low operational priority unless threat models include sophisticated local adversaries or targeted device compromise. The real-world risk is moderate: while kernel state leaks are valuable as exploit primitives in chained attacks (e.g., paired with a separate code execution bug), this vulnerability alone provides only information disclosure and does not by itself enable takeover. The absence of a KEV listing and low EPSS are consistent with each other; no conflicting signals are present in the available data. |
| Exploit ScenarioDerived | An attacker publishes a malicious app - distributed through a sideloading mechanism, enterprise provisioning profile, or a compromised App Store submission - that submits crafted input to a vulnerable kernel interface. When the user opens the app, it reads back sensitive kernel state data (such as kernel object addresses or layout information), which could be used as a building block in a multi-stage local privilege escalation chain targeting iOS or macOS. No public proof-of-concept code has been identified at time of analysis. |
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Alert meAnalysisAIv1 – Jun 30, 2026
Kernel state disclosure in Apple iOS, iPadOS, and macOS Tahoe allows a locally installed app to leak sensitive kernel memory through insufficiently sanitized input. All versions prior to iOS 26.5.2, iPadOS 26.5.2, and macOS Tahoe 26.5.2 are affected. No active exploitation is confirmed (not in CISA KEV), and EPSS sits at 0.19% (9th percentile), indicating minimal current threat actor interest despite the kernel-level information exposure.
RemediationAI
The primary fix is to update to iOS 26.5.2 and iPadOS 26.5.2 (via Settings > General > Software Update) and macOS Tahoe 26.5.2 (via System Settings > General > Software Update). Patch availability is confirmed by Apple advisory at https://support.apple.com/en-us/127594 and https://support.apple.com/en-us/127595. No practical workaround exists that preserves full device functionality, since the vulnerable path is within the kernel input handling layer. As a compensating control in managed enterprise environments, Mobile Device Management (MDM) policies can be used to restrict installation of unvetted apps, reducing the attack surface by limiting the app vector required for exploitation - this trades app flexibility for reduced exposure while patch deployment is completed.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 2 packages in euvd
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Technical ContextAI · show details
The root cause is CWE-20 (Improper Input Validation): input passed from an app context to a kernel-level subsystem is not adequately sanitized, allowing the calling app to read back sensitive kernel state that should be inaccessible to unprivileged processes. Affected platforms per CPE are cpe:2.3:a:apple:ios_and_ipados and cpe:2.3:a:apple:macos, covering all versions of iOS/iPadOS and macOS prior to the 26.5.2/Tahoe 26.5.2 security update. In Apple's sandboxed app model, apps are supposed to be isolated from kernel internals - this flaw breaks that boundary at the information disclosure level without granting write or execution primitives directly. Kernel state leaks of this type are classically used as prerequisite steps to bypass ASLR or infer kernel object layouts in multi-stage local privilege escalation chains.
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Severity by source
AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
Local app vector with user-run requirement; no privileges needed but no integrity or availability impact, only kernel state read.
Primary rating from Vendor (apple).
CVSS VectorVendor: apple
Lifecycle Timeline
4DescriptionCVE.org
The issue was addressed with improved input sanitization. This issue is fixed in iOS 26.5.2 and iPadOS 26.5.2, macOS Tahoe 26.5.2. An app may be able to leak sensitive kernel state.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
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EUVD-2026-40190
GHSA-xf6q-rfcr-q877
NVD
CVE.org
EPSS
Vulnrichment
VulDB
Exploit-DB