CVE-2022-21671
Published: 11 January 2022
Summary
CVE-2022-21671 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Replit Crosis. Its CVSS base score is 8.1 (High).
Operationally, ranked in the top 39.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-0509
Vulnerability details
@replit/crosis is a JavaScript client that speaks Replit's container protocol. A vulnerability that involves exposure of sensitive information exists in versions prior to 7.3.1. When using this library as a way to programmatically communicate with Replit in a standalone fashion,…
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if there are multiple failed attempts to contact Replit through a WebSocket, the library will attempt to communicate using a fallback poll-based proxy. The URL of the proxy has changed, so any communication done to the previous URL could potentially reach a server that is outside of Replit's control and the token used to connect to the Repl could be obtained by an attacker, leading to full compromise of that Repl (not of the account). This was patched in version 7.3.1 by updating the address of the fallback WebSocket polling proxy to the new one. As a workaround, a user may specify the new address for the polling host (`gp-v2.replit.com`) in the `ConnectArgs`. More information about this workaround is available in the GitHub Security Advisory.
- 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.