Vulnerability DatabaseGHSA-wp2p-q35g-3rjj

GHSA-wp2p-q35g-3rjj
JavaScript vulnerability analysis and mitigation

Overview

The vulnerability GHSA-wp2p-q35g-3rjj pertains to a malicious package named 'soket.io' that was published on the npm Registry. This package was discovered and reported on August 31, 2020, and published to the GitHub Advisory Database on September 1, 2020. The malware was designed to exploit typosquatting attacks by taking advantage of users who might accidentally mistype the legitimate package name 'socket.io' (GitHub Advisory).

Technical details

The vulnerability has been assigned a Critical severity rating with a CVSS score of 9.8. The technical assessment reveals that the package requires no user interaction beyond installation, has a network-based attack vector, and low attack complexity. The CVSS metrics indicate high impact across confidentiality, integrity, and availability. The vulnerability is classified under CWE-506 (GitHub Advisory).

Impact

When executed, the malicious package establishes communication with a Command and Control (C2) server and can execute arbitrary commands on the compromised system. This capability potentially allows attackers to gain complete control over the affected machine, compromising system security and potentially exposing sensitive data (GitHub Advisory).

Exploitability

The package affects all versions (>= 0) of soket.io, with no patched versions available. The exploitation requires no special privileges or user interaction beyond the initial package installation, making it highly exploitable if present in a system (GitHub Advisory).

Mitigation and workarounds

If this package is discovered in any environment, immediate action is required. The recommended mitigation steps include revoking and rotating all credentials found on the compromised machine, followed by a complete system erasure and operating system reinstallation. There are no partial workarounds available due to the malicious nature of the package (GitHub Advisory).

Additional resources


SourceThis report was generated using AI

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