CVE-2022-39382
Published: 03 November 2022
Summary
CVE-2022-39382 is a critical-severity Injection (CWE-74) vulnerability in Keystonejs Keystone. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 15.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-7193
Vulnerability details
Keystone is a headless CMS for Node.js — built with GraphQL and React.`@keystone-6/core@3.0.0 || 3.0.1` users that use `NODE_ENV` to trigger security-sensitive functionality in their production builds are vulnerable to `NODE_ENV` being inlined to `"development"` for user code, irrespective of…
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what your environment variables. If you do not use `NODE_ENV` in your user code to trigger security-sensitive functionality, you are not impacted by this vulnerability. Any dependencies that use `NODE_ENV` to trigger particular behaviors (optimizations, security or otherwise) should still respect your environment's configured `NODE_ENV` variable. The application's dependencies, as found in `node_modules` (including `@keystone-6/core`), are typically not compiled as part of this process, and thus should be unaffected. We have tested this assumption by verifying that `NODE_ENV=production yarn keystone start` still uses secure cookies when using `statelessSessions`. This vulnerability has been fixed in @keystone-6/core@3.0.2, regression tests have been added for this vulnerability in #8063.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Developer assessments and testing (including injection-focused techniques) identify improper neutralization of special elements, and the verifiable flaw remediation corrects them pre-deployment.
Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.