CVE-2026-3914: Google Chrome WebML RCE Vulnerability

CVE-2026-3914 Overview

An integer overflow vulnerability exists in the WebML component of Google Chrome prior to version 146.0.7680.71. This high-severity flaw can be exploited by remote attackers through crafted HTML pages, potentially leading to heap corruption and arbitrary code execution within the browser context.

Critical Impact

Remote attackers can exploit this integer overflow to corrupt heap memory, potentially achieving arbitrary code execution when users visit malicious web pages.

Affected Products

• Google Chrome prior to version 146.0.7680.71
• Chromium-based browsers using vulnerable WebML implementation
• All platforms running affected Chrome versions (Windows, macOS, Linux)

Discovery Timeline

• 2026-03-11 - CVE-2026-3914 published to NVD
• 2026-03-12 - Last updated in NVD database

Technical Details for CVE-2026-3914

Vulnerability Analysis

This vulnerability stems from an integer overflow condition within Chrome's WebML implementation. WebML is a web-based machine learning API that enables accelerated machine learning inference in browsers. The flaw occurs when processing specially crafted input that causes integer arithmetic to wrap around, leading to incorrect memory allocation sizes.

When the integer overflow occurs, the browser allocates a smaller-than-expected memory buffer. Subsequent operations that write to this undersized buffer result in heap corruption. This memory corruption primitive can potentially be leveraged by attackers to achieve arbitrary code execution within the renderer process sandbox.

The vulnerability is classified under CWE-472 (External Control of Assumed-Immutable Web Parameter), indicating that external input can influence values that should remain constant during processing.

Root Cause

The root cause is insufficient validation of arithmetic operations within the WebML component. When processing machine learning model data or tensor operations, certain size calculations fail to account for integer overflow conditions. This allows attackers to craft malicious input that causes the calculated size to wrap around to a small value, while the actual data written exceeds the allocated buffer size.

Attack Vector

The attack vector is network-based and requires user interaction—specifically, a victim must be lured to a malicious web page containing crafted HTML that triggers the vulnerable code path. The attacker can host or inject malicious content that includes:

1. A specially crafted WebML model or tensor data designed to trigger the integer overflow
2. JavaScript code that invokes the WebML API with malicious parameters
3. Subsequent exploitation code to leverage the resulting heap corruption

The vulnerability exploits the browser's WebML functionality, which processes machine learning operations. By carefully controlling the overflowed values, an attacker can achieve predictable heap corruption, potentially enabling further exploitation such as code execution or sandbox escape when combined with additional vulnerabilities.

Detection Methods for CVE-2026-3914

Indicators of Compromise

• Unusual browser crashes or instability when visiting unknown websites
• Chrome crash reports indicating heap corruption in WebML-related modules
• Memory access violations in Chrome renderer processes
• Unexpected WebML API calls from web pages that should not require machine learning functionality

Detection Strategies

• Monitor for Chrome crash dumps referencing WebML components or heap corruption patterns
• Implement network monitoring to detect suspicious HTML pages with WebML-related JavaScript
• Deploy endpoint detection rules to identify browser exploitation attempts
• Review browser extension activity for unexpected WebML API usage

Monitoring Recommendations

• Enable Chrome's built-in security telemetry and crash reporting
• Monitor endpoint security solutions for browser-based exploitation indicators
• Track Chrome version deployment across enterprise environments to identify unpatched systems
• Implement browser isolation for high-risk users to contain potential exploitation

How to Mitigate CVE-2026-3914

Immediate Actions Required

• Update Google Chrome to version 146.0.7680.71 or later immediately
• Enable automatic Chrome updates to receive security patches promptly
• Consider using browser isolation technology for critical users until patching is complete
• Review and restrict access to untrusted websites through web filtering

Patch Information

Google has addressed this vulnerability in Chrome version 146.0.7680.71. The fix implements proper integer overflow checks in the WebML component's arithmetic operations. Organizations should prioritize deployment of this update across all managed Chrome installations.

For detailed patch information, refer to the Google Chrome Update Announcement. Technical details about the vulnerability can be found in the Chromium Issue Tracker Entry.

Workarounds

• Disable WebML functionality through Chrome flags (chrome://flags) if not required for business operations
• Implement strict Content Security Policy (CSP) headers on internal web applications
• Use enterprise browser policies to restrict access to untrusted domains
• Consider deploying Chrome with Site Isolation and enhanced security features enabled

# Chrome Enterprise Policy Configuration
# Disable WebML API via Chrome policies (example registry path for Windows)
# HKEY_LOCAL_MACHINE\SOFTWARE\Policies\Google\Chrome
# WebMLEnabled = 0

# Force Chrome updates via enterprise management
# Ensure auto-update is enabled and version meets minimum requirements
chrome://settings/help
# Verify version is 146.0.7680.71 or later