CubeFS Master Component Timing Attack: Passwords Leaked before v3.3.1
CVE-2023-46739 Published on January 3, 2024
Timing attack can leak user passwords
CubeFS is an open-source cloud-native file storage system. A vulnerability was found during in the CubeFS master component in versions prior to 3.3.1 that could allow an untrusted attacker to steal user passwords by carrying out a timing attack. The root case of the vulnerability was that CubeFS used raw string comparison of passwords. The vulnerable part of CubeFS was the UserService of the master component. The UserService gets instantiated when starting the server of the master component. The issue has been patched in v3.3.1. For impacted users, there is no other way to mitigate the issue besides upgrading.
Vulnerability Analysis
CVE-2023-46739 can be exploited with network access, and does not require authorization privileges or user interaction. This vulnerability is consided to have a high level of attack complexity. The potential impact of an exploit of this vulnerability is considered to be low. considered to have a small impact on confidentiality and integrity and availability.
Weakness Type
What is a Side Channel Attack Vulnerability?
The product behaves differently or sends different responses under different circumstances in a way that is observable to an unauthorized actor, which exposes security-relevant information about the state of the product, such as whether a particular operation was successful or not. Discrepancies can take many forms, and variations may be detectable in timing, control flow, communications such as replies or requests, or general behavior. These discrepancies can reveal information about the product's operation or internal state to an unauthorized actor. In some cases, discrepancies can be used by attackers to form a side channel.
CVE-2023-46739 has been classified to as a Side Channel Attack vulnerability or weakness.
Products Associated with CVE-2023-46739
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Affected Versions
cubefs Version < 3.3.1 is affected by CVE-2023-46739Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.