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Vulnerability Database/CVE-2026-14069

CVE-2026-14069: Google Chrome Information Disclosure Flaw

CVE-2026-14069 is an information disclosure vulnerability in Google Chrome's WebNN component caused by an integer overflow. Attackers can exploit this to access sensitive process memory. This article covers technical details, affected versions, impact assessment, and mitigation strategies.

Published:

CVE-2026-14069 Overview

CVE-2026-14069 is an integer overflow vulnerability in the Web Neural Network API (WebNN) component of Google Chrome. The flaw affects Chrome versions prior to 150.0.7871.47 across Windows, macOS, and Linux. A remote attacker can exploit this issue by serving a crafted HTML page to a targeted user. Successful exploitation allows the attacker to read potentially sensitive information from Chrome renderer process memory. The weakness is classified under CWE-472, which covers external control of assumed-immutable web parameters, and Chromium's own security team rated the underlying issue as Low severity.

Critical Impact

Remote attackers can leak sensitive data from Chrome process memory by luring a user to a malicious web page that abuses the WebNN API.

Affected Products

  • Google Chrome versions prior to 150.0.7871.47
  • Chrome installations running on Microsoft Windows
  • Chrome installations running on Apple macOS and Linux

Discovery Timeline

  • 2026-06-30 - CVE-2026-14069 published to the National Vulnerability Database
  • 2026-07-01 - CVE-2026-14069 entry last modified in NVD

Technical Details for CVE-2026-14069

Vulnerability Analysis

The vulnerability resides in WebNN, the Chromium implementation of the W3C Web Neural Network API. WebNN accepts tensor descriptors, buffer sizes, and dimension counts supplied from JavaScript running in a web page. When these numeric inputs are combined during allocation or indexing calculations, an integer overflow occurs. The overflow causes the browser to compute a size or offset that is smaller than the memory region actually referenced. As a result, subsequent read operations traverse memory beyond the intended buffer boundary and expose adjacent data inside the renderer process address space.

Because the returned data can be echoed back to the calling script through WebNN output tensors, an attacker gains a controllable memory read primitive. Leaked bytes may contain cookies, authentication tokens, cross-origin content, or pointers useful for defeating Address Space Layout Randomization (ASLR). Exploitation requires user interaction, since the victim must load or interact with the attacker-controlled HTML page.

Root Cause

The root cause is unchecked arithmetic on attacker-influenced integer values before they are used to size or index a memory buffer inside the WebNN implementation. Missing bounds validation lets a crafted combination of dimensions wrap around fixed-width integer types, breaking the invariant that the computed size accurately reflects the allocation.

Attack Vector

Exploitation is network-based and requires no authentication. An attacker hosts a malicious HTML page that invokes the WebNN API with crafted tensor parameters. When a victim visits the page, the renderer executes the attacker's JavaScript, triggers the overflow, and returns out-of-bounds memory content to the attacker's script. The attacker can exfiltrate the leaked bytes over the network to an attacker-controlled endpoint. See the Chromium Issue Tracker entry and the Google Chrome Stable Update for vendor-supplied technical context.

Detection Methods for CVE-2026-14069

Indicators of Compromise

  • Chrome browser versions earlier than 150.0.7871.47 reported by endpoint inventory tools.
  • Outbound HTTP or WebSocket traffic from browser processes to newly registered or low-reputation domains immediately after visiting untrusted pages.
  • Web pages that invoke navigator.ml or MLGraphBuilder with unusually large or malformed tensor dimensions.

Detection Strategies

  • Inventory Chrome installations across the fleet and flag hosts running any build below 150.0.7871.47.
  • Inspect proxy and DNS telemetry for user sessions that load HTML pages exercising the WebNN API on unknown origins.
  • Correlate browser child-process anomalies, such as unexpected crashes in the GPU or renderer process, with recent navigation history.

Monitoring Recommendations

  • Ingest browser version telemetry into your SIEM to continuously identify unpatched Chrome endpoints.
  • Monitor content security policy (CSP) violation reports and renderer crash dumps for repeated failures tied to WebNN calls.
  • Track user reports of unexpected browser behavior following visits to unfamiliar sites and preserve navigation logs for investigation.

How to Mitigate CVE-2026-14069

Immediate Actions Required

  • Update Google Chrome to version 150.0.7871.47 or later on Windows, macOS, and Linux endpoints.
  • Restart Chrome after the update so all renderer processes load the patched binary.
  • Verify enterprise auto-update policies are enabled and not overridden by local group policy or MDM configurations.

Patch Information

Google released the fix in the Chrome Stable channel via the Stable Channel Update for Desktop. The corresponding upstream fix is tracked in the Chromium Issue Tracker. Administrators should confirm that managed Chrome deployments have received build 150.0.7871.47 or newer through Google Update, Chrome Browser Cloud Management, or their preferred software distribution mechanism.

Workarounds

  • Where immediate patching is not possible, disable the WebNN feature by launching Chrome with the flag --disable-features=WebMachineLearningNeuralNetwork via enterprise policy.
  • Restrict browsing on unpatched hosts to trusted internal sites using URL allowlists enforced by a secure web gateway.
  • Educate users to avoid opening untrusted links until the Chrome update is confirmed installed across the environment.
bash
# Verify the installed Chrome version on Linux and macOS
google-chrome --version

# Windows: query the version from the registry
reg query "HKLM\SOFTWARE\Google\Chrome\BLBeacon" /v version

# Launch Chrome with WebNN disabled as a temporary workaround
google-chrome --disable-features=WebMachineLearningNeuralNetwork

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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