CVE-2022-29244
Published: 13 June 2022
Summary
CVE-2022-29244 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Npmjs Npm. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 24.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-6068
Vulnerability details
npm pack ignores root-level .gitignore and .npmignore file exclusion directives when run in a workspace or with a workspace flag (ie. `--workspaces`, `--workspace=<name>`). Anyone who has run `npm pack` or `npm publish` inside a workspace, as of v7.9.0 and v7.13.0…
more
respectively, may be affected and have published files into the npm registry they did not intend to include. Users should upgrade to the latest, patched version of npm v8.11.0, run: npm i -g npm@latest . Node.js versions v16.15.1, v17.19.1, and v18.3.0 include the patched v8.11.0 version of npm.
- 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.