CVE-2026-14070: Google Chrome Information Disclosure Flaw

CVE-2026-14070 Overview

CVE-2026-14070 is an integer overflow vulnerability in the Web Neural Network (WebNN) implementation of Google Chrome. The flaw affects versions prior to 150.0.7871.47 across Windows, macOS, and Linux. A remote attacker can exploit the issue by serving a crafted HTML page to a targeted user. Successful exploitation leaks potentially sensitive information from the Chrome renderer process memory. The vulnerability is tracked under CWE-457 (Use of Uninitialized Variable) and requires user interaction to trigger. Chromium classifies the internal security severity as Low, while NVD assigns a medium CVSS rating.

Critical Impact
Remote attackers can extract sensitive data from browser process memory when a user loads a malicious page, enabling reconnaissance for follow-on attacks.

Affected Products

Google Chrome prior to 150.0.7871.47
Microsoft Windows (Chrome desktop channel)
Apple macOS and Linux (Chrome desktop channel)

Discovery Timeline

2026-06-30 - CVE-2026-14070 published to NVD
2026-07-01 - Last updated in NVD database
June 2026 - Google publishes the Stable Channel Update for Desktop announcing the fix

Technical Details for CVE-2026-14070

Vulnerability Analysis

The vulnerability resides in WebNN, the browser API that exposes hardware-accelerated neural network operations to web content. An integer overflow occurs when WebNN computes sizes for tensor buffers derived from attacker-controlled parameters in a crafted HTML page. When the overflow wraps a size calculation to a smaller value, the underlying allocator returns a buffer smaller than the logical shape WebNN operates on. Subsequent reads then reference memory beyond the initialized region, exposing residual data from the renderer address space. Because the underlying weakness is classified as [CWE-457], the leaked bytes correspond to uninitialized memory rather than an adjacent object read. The attacker cannot directly execute code, but can harvest pointers, tokens, or fragments of other allocations that assist heap grooming and address-space disclosure in exploit chains.

Root Cause

The root cause is missing overflow validation on size arithmetic used to allocate WebNN operand buffers. When the product of tensor dimensions exceeds the maximum representable value in the size type, the wrapped result silently under-allocates memory. WebNN then treats the allocation as fully initialized, propagating uninitialized bytes back to JavaScript through operation outputs.

Attack Vector

Exploitation requires the victim to visit a web page controlled by the attacker. The page uses standard WebNN JavaScript APIs to construct a model graph with dimensions engineered to trigger the overflow. After executing the graph, the attacker reads output tensors and extracts the leaked bytes for exfiltration. No authentication or elevated privileges are needed. See the Chromium Issue Tracker Entry for engineering context.

Detection Methods for CVE-2026-14070

Indicators of Compromise

Chrome browser processes older than 150.0.7871.47 making WebNN API calls from untrusted origins.
Outbound HTTP requests immediately following WebNN inference calls, indicating potential exfiltration of leaked memory.
HTML pages containing repeated navigator.ml.createContext() and large-dimension MLGraphBuilder operand construction from unknown domains.

Detection Strategies

Inventory Chrome versions across managed endpoints and flag any host running a build below 150.0.7871.47.
Inspect proxy and DNS telemetry for connections to newly registered domains that serve pages invoking WebNN APIs.
Correlate browser process memory-access anomalies with subsequent network beacons using EDR telemetry.

Monitoring Recommendations

Enforce browser version compliance reporting through your endpoint management platform.
Alert on outbound POST requests originating from Chrome renderer processes to non-corporate destinations.
Track user navigation to uncategorized or high-risk web categories where drive-by exploitation is likely.

How to Mitigate CVE-2026-14070

Immediate Actions Required

Update all Chrome installations to version 150.0.7871.47 or later on Windows, macOS, and Linux.
Restart Chrome after applying the update so the patched binary is loaded into memory.
Verify Chromium-based enterprise browsers and embedded WebViews consume the fixed upstream release.

Patch Information

Google addressed the flaw in the Chrome Stable channel release documented in the Google Chrome Update Announcement. Users on managed fleets should confirm rollout through Chrome Browser Cloud Management or their software distribution tooling. The corresponding engineering fix is referenced in the Chromium Issue Tracker Entry.

Workarounds

Disable the WebNN API using the #web-machine-learning-neural-network Chrome flag until patching completes.
Restrict access to untrusted web content through enterprise web filtering policies.
Deploy site isolation and strict site-per-process settings to reduce cross-origin memory exposure.

bash

# Enterprise policy example: enforce minimum Chrome version and disable WebNN via feature flag
# Windows registry (HKLM\Software\Policies\Google\Chrome)
DisabledFeatures = "MachineLearningNeuralNetwork"
TargetVersionPrefix = "150.0.7871.47"