CVE-2026-9110
Google Chrome ≤ 148.0.7778.179
Raw vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:L/I:N/A:LSummary
CVE-2026-9110 is a medium-severity User Interface (UI) Misrepresentation of Critical Information (CWE-451) vulnerability in Google Chrome. Its CVSS base score is 4.2 (Medium).
Operationally, ranked at the 26th 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 SC-3 (Security Function Isolation) and SC-39 (Process Isolation) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-31159
Vulnerability Data
Inappropriate implementation in UI in Google Chrome on Windows prior to 148.0.7778.179 allowed a remote attacker who had compromised the renderer process to perform UI spoofing via a crafted HTML page. (Chromium security severity: Critical)
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Insufficient information to map techniques.Likely ATT&CK TechniquesAI
Techniques this vulnerability likely enables, inferred from its description, weakness type, and attributed-actor tradecraft. Confidence is per-technique.
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly enforces process isolation between the compromised renderer and the browser UI process, blocking the renderer from performing UI spoofing.
Requires isolation of security functions (browser UI) from untrusted code (renderer), directly mitigating the inappropriate UI implementation flaw.
Applies memory protection mechanisms that reduce the likelihood of successful renderer compromise needed to trigger the UI spoofing.
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.