Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2026-16363 is a critical-severity Incorrect Calculation (CWE-682) vulnerability in Mozilla Firefox. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Client Execution (T1203); ranked at the 36th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SI-2 (Flaw Remediation) and CM-7 (Least Functionality) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-46194
Vulnerability Data
JIT miscompilation in the JavaScript: WebAssembly component. This vulnerability was fixed in Firefox 153, Firefox ESR 140.13, Thunderbird 153, and Thunderbird 140.13.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
JIT miscompilation in browser WebAssembly enables remote code execution via crafted JS/WASM content in client applications (e.g., malicious webpage).
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly requires timely application of the vendor patch that corrects the JIT miscompilation in WebAssembly.
Allows disabling or restricting the WebAssembly/JIT feature that contains the type-confusion flaw.
Verifies integrity of browser binaries and JIT-generated code to detect post-exploitation tampering from the miscompilation.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly prevent incorrect calculations via reviews, testing, and verification in security-critical code.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development and acceptance can detect calculation flaws before deployment.
Secure development lifecycle mandates verification steps that catch incorrect calculations before they reach production.
Application security requirements can explicitly call for numeric accuracy and bounds checking.
Secure architecture principles include input validation and safe arithmetic design that reduce calculation errors.
Secure coding standards directly prohibit unsafe arithmetic and require defensive checks against incorrect results.