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patchPublished Apr 2, 2026· Updated May 18, 2026· 1 source

CVE-2026-4698: Critical Type Confusion in Firefox IonMonkey JIT Allows Remote Code Execution

Mozilla has patched a critical type confusion vulnerability in the IonMonkey JIT compiler's switch statement optimization, tracked as CVE-2026-4698, which allows remote code execution via a malicious webpage or file.

Mozilla released an emergency security advisory (MFSA2026-22) on April 2, 2026, addressing a critical type confusion vulnerability in the Firefox web browser. The flaw, designated CVE-2026-4698 and carrying a CVSS score of 8.8, resides in the IonMonkey just-in-time (JIT) compiler, specifically within the optimization logic for JavaScript switch statements. An attacker can trigger the vulnerability by convincing a user to visit a specially crafted webpage or open a file containing specially crafted JavaScript, leading to remote code execution in the context of the Firefox process.

The vulnerability was responsibly disclosed to Mozilla on March 2, 2026, by researcher maxpl0it, who reported it through the Zero Day Initiative (ZDI-26-252). The root cause is a lack of proper validation of user-supplied data during the data during the JIT compilation of switch statements, which results in a type confusion condition. Type confusion occurs when the JIT compiler incorrectly assumes the type of a JavaScript value, allowing an attacker to corrupt memory and eventually execute arbitrary code. This class of bug is particularly dangerous in JIT engines because it can bypass many modern exploit mitigations.

Firefox is one of the most widely used web browsers globally, with hundreds of millions of users. The vulnerability affects all versions of Firefox prior to the patched release, making the attack surface substantial. While there is no public evidence of active exploitation in the wild at the time of disclosure, the high severity and the availability of technical details in the advisory increase the risk of weaponization. Users are strongly advised to update their browsers immediately.

Mozilla has released patches for the vulnerability, which are included in the latest Firefox update. The fix addresses the type confusion by adding proper type checks in the IonMonkey switch statement optimization code. The specific code change can be viewed in the Mozilla ESR 115 repository (commit `ae75e9f5366f`) shows the addition of a type guard that prevents the JIT from making incorrect assumptions about the type of values used in switch statements. Users can verify their browser version and apply the update through the built-in update mechanism.

This vulnerability is part of a broader trend of critical flaws discovered in browser JIT compilers, which have become a prime target for attackers due to their complexity and the performance-critical nature of their optimizations. The IonMonkey engine, in particular, has been the subject of multiple times in the past for similar type confusion and out-of-bounds access issues. The coordinated disclosure through the ZDI program highlights the importance of responsible vulnerability research in keeping the web ecosystem secure.

For enterprise environments, administrators should prioritize deploying the Firefox update across all systems, especially those used for browsing untrusted web content. Mozilla's advisory also notes that the vulnerability can be triggered by opening a malicious file, so caution is warranted with email attachments and downloads. The CVSS vector (AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H) indicates that the attack requires user interaction but no privileges, and it can lead to complete compromise of confidentiality, integrity, and availability.

Users can download the latest version of Firefox from the official Mozilla website or enable automatic updates. The fix is also included in the Firefox ESR channel, which is commonly used in corporate deployments. As with all critical browser vulnerabilities, the window between disclosure and exploitation can be very short, making immediate patching the most effective mitigation.

Synthesized by Vypr AI