CVE-2026-106276 in Chrome
Summary
by MITRE • 10/06/2026
UI misrepresentation in Payments in Google Chrome prior to 155.0.8059.39 allowed a remote attacker leveraging social engineering to spoof UI elements via a crafted HTML page. (Chromium security severity: Low)
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Analysis
by VulDB Data Team • 10/07/2026
The vulnerability identified as a user interface misrepresentation within the payment processing subsystem of Google Chrome prior to version 155.0.8059.39 represents a significant trust boundary violation that exploits the browser's native integration with operating system-level payment APIs. This flaw allows an attacker, through social engineering tactics and a specially crafted HTML page hosted on a malicious website, to manipulate how transaction details are presented to the end-user within the Chrome Payment Request API dialog. The core technical issue lies in the failure of the rendering engine or the underlying IPC mechanism to strictly enforce the integrity of data passed from web contexts to the native UI components responsible for displaying payment information such as merchant name, amount, and itemized costs. By exploiting this discrepancy, an adversary can inject misleading text or alter visual elements so that they appear distinct from their actual values in the confirmation dialog presented by the operating system's secure input interface.
From a technical perspective, this vulnerability falls under the category of UI redressing attacks where the attacker deceives users into interacting with a modified version of a trusted interface element. In the context of Common Weakness Enumeration standards, this aligns closely with CWE-829 which describes inclusion of functionality from an unreliable control source, although more specifically it relates to CWE-1021 Improper Restriction of Rendered UI Layers or Frames if viewed as a framing issue, but most accurately maps to the broader concept of spoofing attacks where visual cues are manipulated. The attack vector relies heavily on social engineering because the browser itself does not automatically block the rendering; instead, it presents the falsified information in what appears to be an official system dialog box generated by Chrome or the host operating system's payment framework. This creates a high-fidelity illusion of legitimacy that bypasses user skepticism regarding phishing attempts.
The operational impact of this vulnerability is severe due to its direct association with financial transactions and sensitive data handling. When users are presented with spoofed UI elements, they may inadvertently authorize payments for incorrect amounts or send funds to unintended recipients because the visual confirmation does not match the actual transaction payload being processed by the browser's payment handler. This undermines the fundamental security guarantee provided by secure input interfaces which are designed to prevent man-in-the-browser attacks from altering critical user inputs. The severity is classified as low within Chromium’s internal scoring system likely due to the high level of user interaction and social engineering required, but in practice, this can lead directly to financial loss and erosion of trust in digital payment ecosystems that rely on browser-based APIs for seamless checkout experiences.
Mitigation strategies primarily involve updating Google Chrome to version 155.0.8059.39 or later where the rendering logic has been hardened to ensure strict separation between web content and native UI presentation layers. Security architects should also enforce Content Security Policy directives that restrict access to payment APIs from untrusted origins, although this vulnerability specifically targets the display layer rather than API invocation itself. User education remains critical; organizations must train personnel to verify transaction details against independent records before confirming payments in any browser dialog box. Additionally, monitoring for unusual patterns of payment requests originating from external domains can help detect attempts leveraging such UI manipulation techniques before they result in successful fraud.