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PatchSiren cyber security CVE debrief

CVE-2026-12015 Google CVE debrief

CVE-2026-12015 is a use after free vulnerability in Autofill in Google Chrome prior to version 149.0.7827.115. This vulnerability allowed a remote attacker who had compromised the renderer process to obtain potentially sensitive information from process memory via a crafted HTML page. The Chromium security severity of this vulnerability is rated as High, and it has a CVSS score of 5.3, which is considered Medium severity.

Vendor
Google
Product
Chrome
CVSS
MEDIUM 5.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-11
Original CVE updated
2026-06-23
Advisory published
2026-06-11
Advisory updated
2026-06-23

Who should care

Users of Google Chrome prior to version 149.0.7827.115 should update to the latest version to mitigate this vulnerability. This vulnerability could allow an attacker to access sensitive information from the process memory.

Technical summary

The vulnerability is caused by a use after free issue in the Autofill component of Google Chrome. This occurs when the program attempts to use memory after it has been freed, which can lead to unpredictable behavior and potentially allow an attacker to access sensitive information.

Defensive priority

High

Recommended defensive actions

  • Update Google Chrome to version 149.0.7827.115 or later.

Evidence notes

This CVE record was obtained from the official CVE.org website and the NVD detail page.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-12015 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-12015

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-12015 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-12015

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.