CVE-2026-2318
Google Chrome ≤ 145.0.7632.45
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:NSummary
CVE-2026-2318 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 Drive-by Compromise (T1189); ranked at the 13th 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 CM-7 (Least Functionality) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-7025
Vulnerability Data
Inappropriate implementation in PictureInPicture in Google Chrome prior to 145.0.7632.45 allowed a remote attacker who convinced a user to engage in specific UI gestures to perform UI spoofing via a crafted HTML page. (Chromium security severity: Medium)
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
UI spoofing via crafted HTML page directly enables deceptive content delivery during web browsing, facilitating drive-by compromise.
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly requires applying the vendor patch that corrects the Picture-in-Picture implementation flaw before an attacker can exploit it.
Allows disabling or restricting the Picture-in-Picture feature entirely, eliminating the attack surface described in the CVE.
Provides policy and technical controls over mobile code (HTML/JS) that can be used to enforce restrictions on untrusted web content capable of 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.