CVE-2025-30461 Overview
CVE-2025-30461 is a critical access control vulnerability in Apple macOS affecting the system pasteboards. The vulnerability stems from insufficient sandbox restrictions, which allows a malicious application to bypass intended security boundaries and access protected user data. Apple addressed this issue by implementing additional sandbox restrictions on the system pasteboards in macOS Sequoia 15.4.
Critical Impact
A malicious application can exploit insufficient sandbox restrictions to access protected user data, potentially exposing sensitive information including clipboard contents, credentials, and personal data copied between applications.
Affected Products
- Apple macOS (versions prior to Sequoia 15.4)
- macOS Sequoia (versions below 15.4)
Discovery Timeline
- 2025-03-31 - CVE-2025-30461 published to NVD
- 2025-11-03 - Last updated in NVD database
Technical Details for CVE-2025-30461
Vulnerability Analysis
This vulnerability falls under CWE-862 (Missing Authorization), indicating that the system pasteboards component lacked proper authorization checks to prevent unauthorized access to protected user data. The macOS sandbox mechanism is designed to isolate applications and restrict their access to system resources and user data. However, due to inadequate restrictions on the system pasteboards, a malicious application could circumvent these protections.
The system pasteboard serves as an inter-process communication mechanism that allows applications to share data through copy and paste operations. When sandbox restrictions are insufficient, an application can read pasteboard contents without proper authorization, potentially capturing sensitive information that users copy between trusted applications—such as passwords, authentication tokens, personal documents, or financial information.
Root Cause
The root cause of CVE-2025-30461 is missing authorization checks (CWE-862) in the macOS system pasteboard implementation. The sandbox policy governing pasteboard access did not adequately restrict which applications could read or monitor pasteboard contents. This architectural oversight allowed applications to access pasteboard data that should have been protected by sandbox boundaries, effectively bypassing the principle of least privilege.
Attack Vector
The attack vector for this vulnerability is network-based, meaning a remotely delivered application (such as one downloaded from the internet) could exploit this flaw. An attacker could craft a malicious application that:
- Gets installed on the target system through social engineering, phishing, or other distribution methods
- Runs within the macOS environment with standard application privileges
- Monitors or accesses the system pasteboard without proper authorization
- Extracts sensitive data that users have copied, such as passwords, personal information, or confidential documents
The vulnerability does not require user interaction beyond installing and running the malicious application. The attack complexity is low, and no special privileges are required for exploitation, making this a particularly dangerous vulnerability.
Detection Methods for CVE-2025-30461
Indicators of Compromise
- Unusual application processes repeatedly accessing pasteboard services without legitimate user-initiated copy operations
- Applications exhibiting unexpected pasteboard read operations logged in system audit trails
- Presence of unknown or unsigned applications with pasteboard access entitlements
- Anomalous data exfiltration patterns coinciding with clipboard usage
Detection Strategies
- Monitor macOS unified logs for unusual com.apple.pasteboard subsystem activities from untrusted applications
- Implement endpoint detection rules to flag applications with excessive pasteboard read operations
- Utilize SentinelOne's behavioral AI to identify applications exhibiting data harvesting patterns from system clipboard
- Review installed applications for proper code signatures and notarization status
Monitoring Recommendations
- Enable comprehensive audit logging for pasteboard-related system calls using macOS Endpoint Security Framework
- Deploy SentinelOne Singularity platform for continuous behavioral monitoring of application pasteboard access
- Establish baseline metrics for normal pasteboard usage patterns to identify anomalous behavior
- Implement alerting for applications attempting to access pasteboard data from sandboxed contexts
How to Mitigate CVE-2025-30461
Immediate Actions Required
- Update all macOS systems to Sequoia 15.4 or later immediately
- Audit installed applications and remove any untrusted or unnecessary software
- Enable Gatekeeper and ensure only notarized applications from identified developers can run
- Review and restrict application permissions through System Settings > Privacy & Security
Patch Information
Apple has released macOS Sequoia 15.4 to address this vulnerability. The update implements additional sandbox restrictions on the system pasteboards to prevent unauthorized access to protected user data. Administrators should apply this update through standard macOS update mechanisms or through MDM solutions for enterprise deployments.
For detailed patch information, refer to the Apple Support Article. Additional technical details are available via the Full Disclosure Mailing List Post.
Workarounds
- Restrict software installation to applications from the Mac App Store or identified developers only
- Avoid copying sensitive information such as passwords to the clipboard; use password manager autofill features instead
- Implement application allowlisting through enterprise management tools to prevent unauthorized applications from running
- Deploy endpoint protection solutions like SentinelOne that can detect and block malicious application behavior
# Verify macOS version and ensure Sequoia 15.4 or later is installed
sw_vers -productVersion
# Check for pending software updates
softwareupdate --list
# Install available security updates
sudo softwareupdate --install --all
# Verify Gatekeeper is enabled
spctl --status
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

