CVE-2022-31070
Published: 15 June 2022
Summary
CVE-2022-31070 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Finastra Nestjs-Proxy. Its CVSS base score is 5.8 (Medium).
Operationally, ranked at the 44.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-5976
Vulnerability details
NestJS Proxy is a NestJS module to decorate and proxy calls. Prior to version 0.7.0, the nestjs-proxy library did not have a way to block sensitive cookies (e.g. session cookies) from being forwarded to backend services configured by the application…
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developer. This could have led to sensitive cookies being inadvertently exposed to such services that should not see them. The patched version now blocks cookies from being forwarded by default. However developers can configure an allow-list of cookie names by using the `allowedCookies` config setting. This issue has been fixed in version 0.7.0 of `@finastra/nestjs-proxy`. Users of `@ffdc/nestjs-proxy` are advised that this package has been deprecated and is no longer being maintained or receiving updates. Such users should update their package.json file to use `@finastra/nestjs-proxy` instead.
- 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.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.