---
id: "CVE-2026-113898"
kind: "vulnerability"
aliases: ["CVE-2026-113898"]
title: "Apple OS: logging flaw lets a malicious app bypass privacy preferences"
severity: "unknown"
cvss: null
epss: null
exploited: false
status: "open"
category: "infrastructure"
products: []
ecosystems: []
tags: ["apple", "infrastructure", "ios", "ipados", "macos", "tvos", "visionos", "watchos"]
not_affected_if: ["already-on-fixed-version"]
published_at: "2026-10-26T21:18:06+00:00"
first_seen_at: "2026-10-26T21:20:30+00:00"
updated_at: "2026-10-26T21:23:08+00:00"
sources: [{"source": "nvd", "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-113898", "first_seen_at": "2026-10-26T21:20:30+00:00"}]
---

# Apple OS: logging flaw lets a malicious app bypass privacy preferences

Apple fixed a logging issue that did not redact data properly in several iOS, iPadOS, macOS, tvOS, visionOS and watchOS releases. A malicious application can bypass Privacy preferences, which means it can reach data the user chose to keep from it.

_Summary, check and fix written by a model from the sources; labelled as such._

## How to check

- Check the OS version under Settings > General > About (iOS, iPadOS) or Apple menu > About This Mac (macOS), and compare with the fixed versions below.
- unknown for any other check; the sources do not say how to inspect the logging behaviour.

## Fix

- Update iOS and iPadOS to `26.7.2` or `27.2`.
- Update macOS Sequoia to `15.8.2`, macOS Tahoe to `26.7.2`, and macOS Golden Gate to `27.2`.
- Update tvOS, visionOS and watchOS to `27.2`.

## Timeline

- 2026-10-26T21:20:30+00:00 nvd https://nvd.nist.gov/vuln/detail/CVE-2026-113898

## From the sources

A logging issue was addressed with improved data redaction. This issue is fixed in iOS 26.7.2 and iPadOS 26.7.2, iOS 27.2 and iPadOS 27.2, macOS Golden Gate 27.2, macOS Sequoia 15.8.2, macOS Tahoe 26.7.2, tvOS 27.2, visionOS 27.2, watchOS 27.2. A malicious application may be able to bypass Privacy preferences.

---

_Free to read at a human pace. An API with keys and an MCP server are in preparation; early access: hello@infrastack.ai_