Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A09:2025 - Security Logging & Alerting Failures
ASVS 5.0
V16 - Security Logging and Error Handling Log data sanitization
|
| Impact | While CVSS score and vector data are not available, the practical risk assessment must rely on exploitation signals and attack surface analysis. The vulnerability is classified as information disclosure with medium-to-high severity due to the universal nature of logging mechanisms and the broad application attack surface. Apple's security advisory references (126346, 126348, 126353, 126793, 126795, 126796) across six distinct advisory documents indicate coordinated disclosure and patching across multiple OS lines, suggesting Apple treated this as a significant privacy concern. The attack vector appears to be local (requiring an installed application on the device), which moderates the risk compared to remote vulnerabilities, but the technical impact is high since sensitive user data is exposed. No public exploit code or active exploitation in the wild has been referenced, but the simplicity of the attack (an app reading unredacted logs) and the breadth of affected versions suggest this could be weaponized quickly if details emerge. The lack of CVSS metrics may reflect Apple's preference for coordinated advisory publication rather than CVSS scoring, but the privacy implications and multi-version coordination indicate this warrants priority patching. |
| Exploit ScenarioDerived | An attacker distributes a seemingly benign application through the App Store or alternate installation methods. Once installed on a victim's device, the application reads unredacted system logs that contain sensitive information such as authentication tokens, personal identifiers, or user behavior patterns that should have been masked by the OS logging redaction mechanisms. The attacker exfiltrates this data during normal app operation without requiring elevated privileges, as the logging subsystem inadvertently provides the data to the sandboxed application. This scenario is straightforward to execute given the local attack vector and requires only standard application-level file I/O capabilities. |
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Alert meAnalysisAIv1 – Mar 25, 2026
A logging issue in Apple's operating systems allows improper data redaction in system logs, enabling installed applications to access sensitive user data that should have been masked. This vulnerability affects iOS 18.7.7 and earlier, iPadOS 18.7.7 and earlier, iOS 26.3 and earlier, iPadOS 26.3 and earlier, macOS Sequoia 15.7.5 and earlier, macOS Sonoma 14.8.5 and earlier, macOS Tahoe 26.3 and earlier, and visionOS 26.3 and earlier. An attacker with the ability to install or control an application on an affected device could exploit inadequate log data filtering to extract confidential user information that should be protected by the operating system's redaction mechanisms.
RemediationAI
Update immediately to iOS 18.7.7 or iPadOS 18.7.7 or later, iOS 26.3 or iPadOS 26.3 or later, macOS Sequoia 15.7.5 or later, macOS Sonoma 14.8.5 or later, macOS Tahoe 26.3 or later, or visionOS 26.3 or later, depending on the affected device. Consult the respective Apple security advisories at the URLs provided in the affected products section for version-specific patching guidance and verification steps. Until patches can be deployed, restrict the installation of untrusted third-party applications and review device privacy settings to limit app permissions to system logs and diagnostic data. Organizations managing fleet deployments should prioritize this update across all Apple devices given the broad affected version range and the privacy-sensitive nature of the vulnerability.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 3 packages in euvd
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Technical ContextAI · show details
The vulnerability stems from insufficient data redaction mechanisms within Apple's system logging infrastructure across multiple operating system platforms (iOS, iPadOS, macOS, and visionOS). This is fundamentally an information disclosure issue (CWE category) where system logs containing sensitive data are not properly sanitized before being made accessible to third-party applications. The affected products span multiple macOS versions (Sequoia 15.x, Sonoma 14.x, and Tahoe 26.x), iOS/iPadOS versions (18.7.x and 26.3.x), and visionOS (26.3.x), as identified through the comprehensive CPE strings covering apple:ios_and_ipados, apple:macos, and apple:visionos across all version ranges. The root cause involves the logging subsystem failing to consistently apply data masking policies before exposing log entries to sandbox-isolated applications, allowing circumvention of the intended privacy boundary.
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Severity by source
AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
Lifecycle Timeline
2DescriptionCVE.org
A logging issue was addressed with improved data redaction. This issue is fixed in iOS 18.7.7 and iPadOS 18.7.7, iOS 26.3 and iPadOS 26.3, macOS Sequoia 15.7.5, macOS Sonoma 14.8.5, macOS Tahoe 26.3, visionOS 26.3. An app may be able to access sensitive user data.
Executive ViewAI
Organizations using A logging should be aware of moderate risk from CVE-2026-20668, a log file exposure vulnerability rated CVSS 5.5. This could allow unauthorized file access. Organizations should apply vendor updates when available and monitor for exploitation.
Apply vendor patch. If patching is delayed: restrict endpoint access, redact sensitive data in logs.
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-2026-15053
NVD
CVE.org
EPSS
Vulnrichment
VulDB
GitHub PoC
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