Firefox IonMonkey JIT Type Confusion Vulnerability
Actively exploited in the wild. Patch or mitigate immediately — don't wait for a maintenance window.
An unauthenticated attacker, remotely over the network, if a user is tricked into opening a malicious file or link, can fully compromise the system — steal data, tamper with it and take it offline.
Incorrect alias information in IonMonkey JIT compiler for setting array elements could lead to a type confusion. We are aware of targeted attacks in the wild abusing this flaw. This vulnerability affects Firefox ESR < 68.4.1, Thunderbird < 68.4.1, and Firefox < 72.0.1.
Inferred from the weakness type (CWE) and how the flaw is reached — the techniques an attacker would chain to exploit this. Real-world corroboration appears here as threat intel is folded in.
Corroborated threat activity referencing this CVE — with source and confidence, not inference.
Named threat actors and observed ATT&CK techniques appear here as intel feeds are folded in — the ATT&CK chain above stays inferred until then.
Generated by Wavense from the CVE record — an immediate mitigation and the permanent fix.
Temporarily restrict browsing to trusted websites and consider using an alternative, updated browser for sensitive tasks until patches are applied. Implement strong network segmentation and ensure robust endpoint detection and response (EDR) solutions are actively monitoring for suspicious browser process behavior. Users should operate with the principle of least privilege to limit potential damage from successful exploitation.
The permanent solution is to immediately update affected Mozilla products to the patched versions. Upgrade Firefox to 72.0.1, Firefox ESR to 68.4.1, and Thunderbird to 68.4.1 or later. These updates contain fixes for the incorrect alias information that leads to the type confusion vulnerability.
An attacker can exploit this type confusion flaw in the IonMonkey JIT compiler to achieve arbitrary code execution. This allows them to run malicious code on the victim's system, potentially leading to full system compromise, data theft, and loss of confidentiality and integrity for the affected user. The awareness of targeted attacks in the wild underscores its severe potential for real-world exploitation.
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