CVE-2023-31422
CVE-2023-31422
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Adjacent
- Attack Complexity
- Low
- Privileges Required
- Low
- User Interaction
- None
- Scope
- Changed
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
An issue was discovered by Elastic whereby sensitive information is recorded in Kibana logs in the event of an error. The issue impacts only Kibana version 8.10.0 when logging in the JSON layout or when the pattern layout is configured to log the %meta pattern. Elastic has released Kibana 8.10.1 which resolves this issue. The error object recorded in the log contains request information, which can include sensitive data, such as authentication credentials, cookies, authorization headers, query params, request paths, and other metadata. Some examples of sensitive data which can be included in the logs are account credentials for kibana_system, kibana-metricbeat, or Kibana end-users.
Comprehensive Technical Analysis of CVE-2023-31422
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2023-31422
Description: This vulnerability involves the inadvertent logging of sensitive information in Kibana logs during error events. Specifically, when Kibana version 8.10.0 is configured to log in JSON layout or when the pattern layout includes the %meta pattern, sensitive data such as authentication credentials, cookies, authorization headers, query parameters, request paths, and other metadata can be recorded in the logs.
CVSS Score: 9
Severity Evaluation:
- Confidentiality Impact: High
- Integrity Impact: Medium
- Availability Impact: Low
The high CVSS score of 9 indicates a critical vulnerability. The primary concern is the potential exposure of sensitive information, which can lead to unauthorized access, data breaches, and other severe security incidents.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Log Access: An attacker with access to the Kibana logs can extract sensitive information, including authentication credentials and cookies.
- Internal Threats: Insiders or compromised internal systems with access to the logs can exploit this vulnerability.
- Log Aggregation Systems: If logs are aggregated and stored in a centralized logging system, an attacker with access to this system can exploit the vulnerability.
Exploitation Methods:
- Credential Harvesting: Extracting authentication credentials from logs to gain unauthorized access to Kibana or other systems.
- Session Hijacking: Using captured cookies to hijack user sessions.
- Data Exfiltration: Extracting sensitive metadata to gain insights into the system's architecture and data flow.
3. Affected Systems and Software Versions
Affected Software:
- Kibana version 8.10.0
Conditions:
- Logging configured in JSON layout.
- Pattern layout configured to log the
%metapattern.
Unaffected Versions:
- Kibana versions prior to 8.10.0.
- Kibana version 8.10.1 and later.
4. Recommended Mitigation Strategies
Immediate Actions:
- Upgrade Kibana: Upgrade to Kibana version 8.10.1 or later, which includes the fix for this vulnerability.
- Log Configuration: Review and modify the logging configuration to avoid logging sensitive information.
- Access Control: Restrict access to Kibana logs to authorized personnel only.
Long-Term Strategies:
- Regular Patching: Implement a regular patching and update schedule for all software components.
- Log Monitoring: Implement continuous monitoring and alerting for sensitive data in logs.
- Security Training: Conduct regular security training for administrators and developers to avoid similar issues in the future.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- Organizations using Kibana 8.10.0 are at risk of sensitive data exposure, which can lead to data breaches and unauthorized access.
Long-Term Impact:
- Increased awareness of the importance of secure logging practices.
- Potential regulatory and compliance implications for organizations that fail to protect sensitive data.
Industry-Wide Implications:
- Emphasis on the need for robust security testing and code reviews.
- Increased focus on secure logging configurations and best practices.
6. Technical Details for Security Professionals
Detection:
- Log Analysis: Regularly review Kibana logs for the presence of sensitive information.
- Intrusion Detection Systems (IDS): Implement IDS to detect unusual access patterns to log files.
Response:
- Incident Response Plan: Develop and implement an incident response plan specific to log-related vulnerabilities.
- Forensic Analysis: Conduct forensic analysis to determine the extent of data exposure and potential breaches.
Prevention:
- Secure Logging Practices: Implement secure logging practices that exclude sensitive information.
- Access Controls: Enforce strict access controls for log files and logging systems.
- Regular Audits: Conduct regular security audits and vulnerability assessments.
Conclusion: CVE-2023-31422 highlights the critical importance of secure logging practices. Organizations must prioritize upgrading to the patched version of Kibana and implement robust logging configurations to mitigate the risk of sensitive data exposure. Continuous monitoring and regular security training are essential to prevent similar vulnerabilities in the future.