CVE-2021-38153 is a medium-severity vulnerability affecting Apache Kafka, identified as a timing attack issue related to password and key validation. The vulnerability arises because some components in Apache Kafka use `Arrays.equals`, which can make brute force attacks on credentials more likely to succeed. Organizations using affected versions are at risk of unauthorized access to sensitive data.
The vulnerability has a CVSS score of 5.9, indicating a medium risk level. This score reflects the potential impact on confidentiality, which is high, while integrity and availability impacts are negligible. Given its nature, the vulnerability is exploitable over a network with high attack complexity, requiring no privileges or user interaction.
Organizations should prioritize patching immediately by upgrading to Apache Kafka version 2.8.1 or higher, or 3.0.0 or higher, where the vulnerability has been addressed. The affected versions include Apache Kafka 2.0.0 through 2.8.0, which are susceptible to these timing attacks.
Given the potential risks associated with this vulnerability, organizations must act swiftly to mitigate the threats posed by possible exploitation.
Vulnerability Details
The official description of CVE-2021-38153 states that certain components in Apache Kafka utilize the `Arrays.equals` method for validating passwords or keys. This implementation exposes the system to timing attacks, which can facilitate brute force attempts for credential compromise.
The vulnerability has a CVSS score of 5.9, demonstrating a medium severity classification. Organizations utilizing versions 2.0.0 to 2.8.0 should upgrade to fixed versions 2.8.1 or higher or 3.0.0 or higher. This vulnerability is classified under CWE-203, indicating the potential for data exposure.
Technical Analysis
The root cause of this vulnerability is the use of a flawed comparison method, which can leak timing information to an attacker. This allows attackers to infer whether a given password or key is correct based on the time taken to compute the hash.
The attack vector is network-based, meaning an attacker does not require physical access to the server to exploit this vulnerability. Attack complexity is high, as the attacker needs to conduct a series of timed attacks to gain meaningful insights into the credentials being tested.
No privileges are required to exploit this vulnerability, and user interaction is not necessary, making it particularly concerning for organizations that handle sensitive data.
Risk & Impact Analysis
Risk to organizations includes the potential for unauthorized access to sensitive information, which could lead to data breaches and significant reputational damage. The blast radius is particularly concerning for organizations relying on Apache Kafka for data streaming and processing, as compromise of credentials could lead to broader network infiltration.
Given that the CVSS score is 5.9, this vulnerability should be addressed in the priority patch cycle. Organizations must assess their deployments of Apache Kafka to ensure they are not using vulnerable versions, as the consequences of exploitation can be severe.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The affected versions of Apache Kafka include 2.0.0, 2.0.1, 2.1.0, 2.1.1, 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.6.0, 2.6.1, 2.6.2, 2.7.0, 2.7.1, and 2.8.0. Users should ensure they are running version 2.8.1 or higher, or 3.0.0 or higher to mitigate this vulnerability.
Mitigation & Remediation
To mitigate the risks associated with CVE-2021-38153, organizations should upgrade to Apache Kafka versions 2.8.1 or higher, or 3.0.0 or higher. Organizations should validate remediation through application security assessments to ensure that the patched versions are functioning as intended and that no vulnerabilities remain.
Detection Guidance
Organizations should monitor logs for any unusual authentication attempts, especially those that could indicate brute force attacks. Behavioral anomalies in user login patterns should be analyzed, and network signatures related to unauthorized access attempts must be established.
AppSecure Threat Intelligence Insight
The long-term significance of CVE-2021-38153 lies in its representation of common vulnerabilities in password management systems. As organizations increasingly rely on systems like Apache Kafka for critical data processing, they must adopt a proactive security posture. This incident highlights the importance of implementing robust security practices, including regular updates and security assessments.
For further insights and best practices in managing vulnerabilities, organizations may consider exploring vulnerability management programs that effectively address such risks.
Additionally, organizations should engage in penetration testing to identify and remediate potential weaknesses before they can be exploited.
Lastly, organizations can benefit from understanding the evolving threat landscape by monitoring resources on red teaming strategies that simulate real-world attack scenarios.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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