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CVE-2025-15523

Published Jan 22, 2026 CWE-276

Overview

CVE-2025-15523 is a known-severity vulnerability. It was published on January 22, 2026.

Technical Description

MacOS version of Inkscape bundles a Python interpreter that inherits the Transparency, Consent, and Control (TCC) permissions

granted by the user to the main application bundle. An attacker with local user access can

invoke this interpreter with arbitrary commands or scripts, leveraging the

application's previously granted TCC permissions to access user's files in privacy-protected folders without triggering user prompts. Accessing other resources beyond previously granted TCC permissions will prompt the user for approval in the name of Inkscape, potentially disguising attacker's malicious intent.

This issue has been fixed in 1.4.3 version of Inkscape.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Frequently Asked Questions

What is CVE-2025-15523?

CVE-2025-15523 is a known-severity vulnerability. It was published on January 22, 2026.

How severe is CVE-2025-15523?

CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.

How do I fix or remediate CVE-2025-15523?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2025-15523?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-15523 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.