CVE-2026-3937
Google Chrome ≤ 146.0.7680.71
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:NSummary
CVE-2026-3937 is a medium-severity User Interface (UI) Misrepresentation of Critical Information (CWE-451) vulnerability in Google Chrome. Its CVSS base score is 6.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Malicious Link (T1204.001); ranked at the 8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SI-2 (Flaw Remediation) and SC-18 (Mobile Code) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-11464
Vulnerability Data
Incorrect security UI in Downloads in Google Chrome on Android prior to 146.0.7680.71 allowed a remote attacker to perform UI spoofing via a crafted HTML page. (Chromium security severity: Low)
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
UI spoofing in download security prompts via crafted HTML directly facilitates tricking users into executing malicious downloads/links.
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly addresses the flawed Chrome download UI by requiring prompt application of the vendor patch that corrects the misrepresentation (version >= 146.0.7680.71).
Restricts or sanitizes mobile code (crafted HTML/JS) that the browser would otherwise render to produce the spoofed download security UI.
Validates untrusted HTML input before it is used to construct or alter security-critical download UI elements, blocking the root cause of the misrepresentation.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly address design and implementation of accurate, non-spoofable UI elements.
User awareness training helps people recognize and avoid harm from UI misrepresentation such as phishing, but does not prevent the flaw itself.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing can detect UI misrepresentation vulnerabilities before deployment.
Security awareness training can teach users to recognize UI misrepresentation and phishing attempts.
Web filtering can block known phishing sites that exploit UI misrepresentation.
Secure development lifecycle includes UI/UX security requirements that can prevent misrepresentation of critical information.
Application security requirements can mandate proper display and validation of critical information in the UI.
Secure coding practices can prevent UI flaws that obscure or spoof critical information.