CVE-2026-7935
Google Chrome ≤ 148.0.7778.96
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:LSummary
CVE-2026-7935 is a medium-severity User Interface (UI) Misrepresentation of Critical Information (CWE-451) vulnerability in Google Chrome. Its CVSS base score is 5.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Spearphishing Link (T1566.002); ranked at the 9th 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-2026-27974
Vulnerability Data
Inappropriate implementation in Speech in Google Chrome prior to 148.0.7778.96 allowed a remote attacker 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 facilitates delivery and execution of deceptive content through malicious links.
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 requires patching the Chrome Speech implementation flaw before a crafted HTML page can be used for UI spoofing.
Disables or restricts the Speech feature (an unneeded browser capability) so the vulnerable code path cannot be reached.
Restricts or filters mobile code (HTML/JS) that targets the Speech API, limiting the attack surface for 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.