Cyber Resilience

CVE-2026-8516

Google Chrome ≤ 148.0.7778.168

Published
14 May 2026
Modified
17 June 2026
Patch / advisory
CVSS Score v3.1 5.3
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:N/A:N
EPSS Score 0.0022 13th percentile
Risk Priority 35 floored blend · peak EPSS

Summary

CVE-2026-8516 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Google Chrome. Its CVSS base score is 5.3 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Credentials from Web Browsers (T1555.003); 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-10 (Information Input Validation) and SI-16 (Memory Protection) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Insufficient validation of untrusted input in DataTransfer in Google Chrome prior to 148.0.7778.168 allowed a remote attacker who convinced a user to engage in specific UI gestures to obtain potentially sensitive information from process memory via a crafted HTML page.…

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(Chromium security severity: Critical)

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1555.003 Credentials from Web Browsers Credential Access
Adversaries may acquire credentials from web browsers by reading files specific to the target browser.
Why these techniques?

Browser memory disclosure via DataTransfer input validation flaw directly enables stealing credentials/sensitive data from browser process memory.

Confidence: MEDIUM · MITRE ATT&CK Enterprise v19.0

Likely ATT&CK TechniquesAI

Techniques this vulnerability likely enables, inferred from its description, weakness type, and attributed-actor tradecraft. Confidence is per-technique.

T1005 Data from Local System Collectionconfidence: HIGH
Info disclosure from process memory via insufficient input validation in DataTransfer directly enables reading sensitive local data.
inferred from description + CWE · MITRE ATT&CK Enterprise v19.0

CVEs Like This One

CVE-2026-11251Same product: Apple Macos
CVE-2026-11192Same product: Apple Macos
CVE-2026-11653Same product: Apple Macos
CVE-2026-11128Same product: Apple Macos
CVE-2026-7944Same product: Apple Macos
CVE-2026-10004Same product: Apple Macos
CVE-2026-12016Same product: Apple Macos
CVE-2026-11246Same product: Apple Macos
CVE-2026-7996Same product: Apple Macos
CVE-2026-11701Same product: Apple Macos

Affected Assets

google
chrome
≤ 148.0.7778.168

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)
  • SI-10 Information Input Validation
  • SI-16 Memory Protection
  • SI-2 Flaw Remediation
Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)
  • 6 hardening rules · 3 OS baselines
Validate
Prove the fix (OWASP ASVS)

Mitigating Controls (NIST 800-53 r5) AI

prevent

Directly requires validation of untrusted input to DataTransfer, blocking the CWE-20 flaw that enables memory disclosure.

prevent

Enforces memory protection mechanisms that limit exposure of sensitive process memory even if input validation fails.

prevent

Mandates timely patching of the browser to the fixed version that corrects the insufficient validation in DataTransfer.

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.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly require and enforce input validation during development.

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.

detects

Testing against a defined set of requirements and using code review plus vulnerability scanning forces validation of inputs and handling of unanticipated conditions, reducing the chance that malformed data will be accepted.

prevents

Secure-coding guidelines and mandatory security testing (including code scans) compel developers to validate and sanitize inputs at design and implementation time, lowering the incidence of malformed or malicious data reaching downstream components.

prevents

Mandating input controls that include integrity checks and input validation ensures that untrusted data is examined before use, blocking the root cause of many injection and malformed-data weaknesses.

prevents

Security-by-design principles explicitly call for data validation and sanitization at every layer, reducing the chance that malformed or malicious input will be processed without scrutiny.

prevents

Requiring language-specific secure coding standards, peer review, SAST and documented mitigation of common programming errors forces validation of all inputs before they are trusted.

none

Regular automated validation of system software and data content, combined with scanning of all inbound files, enforces input validation at the boundary before untrusted content is processed.

References