GHSA-xw5q-g62x-2qjc · Severity: high · Ecosystem: npm — electron ASAR Integrity bypass by just modifying the content
Electron is an open source framework for writing cross-platform desktop applications using JavaScript, HTML and CSS. From versions 30.0.0-alpha.1 to before 30.0.5 and 31.0.0-alpha.1 to before 31.0.0-beta.1, Electron is vulnerable to an ASAR Integrity bypass. This only impacts apps that have the embeddedAsarIntegrityValidation and onlyLoadAppFromAsar fuses enabled. Apps without these fuses enabled are not impacted. This issue is specific to Windows, apps using these fuses on macOS are not impacted. Specifically this issue can only be exploited if the app is launched from a filesystem the attacker has write access too. i.e. the ability to edit files inside the .app bundle on macOS which these fuses are supposed to protect against. This issue has been patched in versions 30.0.5 and 31.0.0-beta.1. There are no workarounds for this issue.
Conclusion & alert: CVE-2024-46992 is rated Low Risk (31.7/100): CVSS High severity, with low exploitation likelihood (EPSS 0.10%). Mandatory action: Monitor for updates and reassess as exploit intelligence or EPSS changes.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-06-15 | 0.01% | 0.10% | +0.10% |
| 2 | 2025-07-01 | — | 0.01% | — |
Full EPSS history (2 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 7.8 | 3.1 | HIGH |
|
1.8 | 5.9 | [email protected] |
GHSA-xw5q-g62x-2qjc · Severity: high · Ecosystem: npm — electron ASAR Integrity bypass by just modifying the content
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| No affected products in dataset. | |||