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CVE-2026-10987 Google CVE debrief

CVE-2026-10987 is an integer overflow vulnerability in the V8 engine of Google Chrome. This issue, which was reported with a CVSS score of 8.8 and categorized as High severity by Chromium, could allow a remote attacker to execute arbitrary code within a sandbox environment by providing a specially crafted HTML page. The vulnerability was made public on [cvePublishedAt](https://www.cve.org/CVERecord?id=CVE-2026-10987).

Vendor
Google
Product
Chrome
CVSS
HIGH 8.8
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-04
Original CVE updated
2026-07-22
Advisory published
2026-06-04
Advisory updated
2026-07-22

Who should care

Users of Google Chrome prior to version 149.0.7827.53 are affected by this vulnerability. Successful exploitation could lead to arbitrary code execution in the sandbox.

Technical summary

The vulnerability is caused by an integer overflow in the V8 engine of Google Chrome. This could be exploited by a remote attacker through a crafted HTML page, potentially leading to arbitrary code execution within the sandbox.

Defensive priority

High

Recommended defensive actions

  • Update Google Chrome to version 149.0.7827.53 or later to mitigate this vulnerability.

Evidence notes

The CVE was published on [cvePublishedAt](https://www.cve.org/CVERecord?id=CVE-2026-10987) and last modified on [cveModifiedAt](https://nvd.nist.gov/vuln/detail/CVE-2026-10987).

Sources and references

Verified primary and authoritative sources

  • CVE-2026-10987 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-10987

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

  • CVE-2026-10987 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-10987

    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.