CVE-2024-37285
CVE-2024-37285
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- High
- User Interaction
- None
- Scope
- Changed
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
A deserialization issue in Kibana can lead to arbitrary code execution when Kibana attempts to parse a YAML document containing a crafted payload. A successful attack requires a malicious user to have a combination of both specific Elasticsearch indices privileges https://www.elastic.co/guide/en/elasticsearch/reference/current/defining-roles.html#roles-indices-priv and Kibana privileges https://www.elastic.co/guide/en/fleet/current/fleet-roles-and-privileges.html assigned to them. The following Elasticsearch indices permissions are required * write privilege on the system indices .kibana_ingest* * The allow_restricted_indices flag is set to true Any of the following Kibana privileges are additionally required * Under Fleet the All privilege is granted * Under Integration the Read or All privilege is granted * Access to the fleet-setup privilege is gained through the Fleet Server’s service account token
Comprehensive Technical Analysis of CVE-2024-37285
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-37285 CVSS Score: 9.1
The vulnerability in question is a deserialization issue in Kibana that can lead to arbitrary code execution. Deserialization vulnerabilities are particularly dangerous because they can allow an attacker to execute malicious code on the target system. The high CVSS score of 9.1 indicates that this vulnerability is critical and poses a significant risk to affected systems.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Malicious User with Specific Privileges: The attacker must have a combination of specific Elasticsearch indices privileges and Kibana privileges. This includes write privileges on the
.kibana_ingest*system indices and theallow_restricted_indicesflag set to true. Additionally, the attacker needs certain Kibana privileges such as theAllprivilege under Fleet,ReadorAllprivilege under Integration, or access to thefleet-setupprivilege through the Fleet Server’s service account token.
Exploitation Methods:
- Crafted YAML Payload: The attacker can craft a malicious YAML document that, when parsed by Kibana, triggers the deserialization issue and leads to arbitrary code execution.
- Privilege Escalation: If an attacker gains the required privileges, they can exploit this vulnerability to execute arbitrary code, potentially leading to full system compromise.
3. Affected Systems and Software Versions
Affected Systems:
- Kibana: The vulnerability affects Kibana versions prior to the patch release. Specific versions are not mentioned, but it is implied that versions before the security update (Kibana 8.15.1) are vulnerable.
Software Versions:
- Kibana: Versions prior to 8.15.1.
- Elasticsearch: Indirectly affected due to the dependency on specific indices privileges.
4. Recommended Mitigation Strategies
Immediate Actions:
- Apply Security Patch: Upgrade Kibana to version 8.15.1 or later, which includes the security update addressing this vulnerability.
- Restrict Privileges: Ensure that only trusted users have the required Elasticsearch indices privileges and Kibana privileges.
- Monitor and Audit: Implement monitoring and auditing to detect any suspicious activities related to the
.kibana_ingest*indices and Kibana privileges.
Long-Term Strategies:
- Regular Updates: Maintain a regular update schedule for all software components, including Kibana and Elasticsearch.
- Least Privilege Principle: Enforce the principle of least privilege to minimize the risk of privilege escalation.
- Security Training: Conduct regular security training for administrators and users to recognize and mitigate potential threats.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- Critical Systems at Risk: Organizations using Kibana for data visualization and analysis are at risk of arbitrary code execution, which can lead to data breaches, system compromise, and other severe security incidents.
- Supply Chain Risks: Given the interconnected nature of modern IT environments, this vulnerability can have cascading effects on other systems and services.
Long-Term Impact:
- Increased Awareness: This vulnerability highlights the importance of securing data visualization tools and the underlying data stores.
- Enhanced Security Measures: Organizations may adopt more stringent security measures, including regular audits, privilege management, and continuous monitoring.
6. Technical Details for Security Professionals
Deserialization Issue:
- YAML Parsing: The vulnerability is triggered during the parsing of a YAML document. Attackers can craft a YAML payload that exploits the deserialization process to execute arbitrary code.
- Privilege Requirements: The attack requires specific privileges in both Elasticsearch and Kibana, making it a targeted attack vector.
Mitigation Steps:
- Patch Application: Ensure that Kibana is updated to the latest version that includes the security fix.
- Privilege Management: Review and restrict the privileges assigned to users and service accounts to minimize the attack surface.
- Monitoring and Logging: Implement robust monitoring and logging to detect and respond to any suspicious activities related to the affected indices and privileges.
References:
- Vendor Advisory: Kibana 8.15.1 Security Update
By addressing this vulnerability promptly and implementing the recommended mitigation strategies, organizations can significantly reduce the risk of exploitation and protect their critical systems from potential attacks.