CVE-2023-38156: CWE-20: Improper Input Validation in Microsoft Azure HDInsight
Azure HDInsight Apache Ambari JDBC Injection Elevation of Privilege Vulnerability
AI Analysis
Technical Summary
CVE-2023-38156 is a vulnerability identified in Microsoft Azure HDInsight version 1.0, specifically related to the Apache Ambari component used for cluster management. The root cause is improper input validation (CWE-20) in the JDBC interface, which allows an attacker with existing high-level privileges to perform JDBC injection attacks. This injection can lead to elevation of privilege, enabling the attacker to execute unauthorized commands or access sensitive data within the HDInsight environment. The vulnerability has a CVSS 3.1 base score of 7.2, reflecting a high severity due to its network attack vector (AV:N), low attack complexity (AC:L), and the requirement for high privileges (PR:H) but no user interaction (UI:N). The impact affects confidentiality, integrity, and availability (C:H/I:H/A:H), meaning an attacker could compromise data confidentiality, alter data or system states, and disrupt service availability. Although no known exploits have been reported in the wild, the vulnerability poses a significant risk to environments where Azure HDInsight is deployed, especially in multi-tenant or sensitive data processing scenarios. The lack of available patches at the time of publication necessitates immediate mitigation through access restrictions and monitoring. The vulnerability is particularly critical because Ambari is a central management tool for Hadoop clusters, and compromise here can cascade to the entire big data infrastructure.
Potential Impact
For European organizations, the impact of CVE-2023-38156 could be substantial, especially those relying on Azure HDInsight for big data analytics, machine learning, and large-scale data processing. Successful exploitation could lead to unauthorized access to sensitive data, manipulation or deletion of critical datasets, and disruption of data processing workflows. This could affect sectors such as finance, healthcare, manufacturing, and public services, where data integrity and availability are paramount. Additionally, the elevation of privilege could allow attackers to move laterally within the cloud environment, potentially compromising other resources. Given the increasing adoption of cloud services across Europe and stringent data protection regulations like GDPR, such a breach could result in significant regulatory penalties and reputational damage. The high severity score and the network-based attack vector mean that attackers could exploit this vulnerability remotely if they have high-level access, increasing the risk profile for organizations with insufficient access controls.
Mitigation Recommendations
1. Apply official patches or updates from Microsoft as soon as they become available to address the JDBC injection vulnerability in Azure HDInsight. 2. Until patches are released, restrict network access to the Apache Ambari management interface to trusted administrators only, using network segmentation and firewall rules. 3. Enforce strict authentication and authorization policies to limit the number of users with high privileges (PR:H) in the HDInsight environment. 4. Implement input validation and sanitization controls where possible to prevent injection attacks. 5. Monitor logs and audit trails for unusual or unauthorized JDBC queries or privilege escalation attempts. 6. Conduct regular security assessments and penetration testing focused on cloud management interfaces. 7. Educate administrators about the risks of privilege misuse and the importance of secure configuration of Ambari and HDInsight clusters. 8. Consider deploying additional runtime protection or anomaly detection tools that can identify injection attempts or privilege escalations in real time.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Italy
CVE-2023-38156: CWE-20: Improper Input Validation in Microsoft Azure HDInsight
Description
Azure HDInsight Apache Ambari JDBC Injection Elevation of Privilege Vulnerability
AI-Powered Analysis
Technical Analysis
CVE-2023-38156 is a vulnerability identified in Microsoft Azure HDInsight version 1.0, specifically related to the Apache Ambari component used for cluster management. The root cause is improper input validation (CWE-20) in the JDBC interface, which allows an attacker with existing high-level privileges to perform JDBC injection attacks. This injection can lead to elevation of privilege, enabling the attacker to execute unauthorized commands or access sensitive data within the HDInsight environment. The vulnerability has a CVSS 3.1 base score of 7.2, reflecting a high severity due to its network attack vector (AV:N), low attack complexity (AC:L), and the requirement for high privileges (PR:H) but no user interaction (UI:N). The impact affects confidentiality, integrity, and availability (C:H/I:H/A:H), meaning an attacker could compromise data confidentiality, alter data or system states, and disrupt service availability. Although no known exploits have been reported in the wild, the vulnerability poses a significant risk to environments where Azure HDInsight is deployed, especially in multi-tenant or sensitive data processing scenarios. The lack of available patches at the time of publication necessitates immediate mitigation through access restrictions and monitoring. The vulnerability is particularly critical because Ambari is a central management tool for Hadoop clusters, and compromise here can cascade to the entire big data infrastructure.
Potential Impact
For European organizations, the impact of CVE-2023-38156 could be substantial, especially those relying on Azure HDInsight for big data analytics, machine learning, and large-scale data processing. Successful exploitation could lead to unauthorized access to sensitive data, manipulation or deletion of critical datasets, and disruption of data processing workflows. This could affect sectors such as finance, healthcare, manufacturing, and public services, where data integrity and availability are paramount. Additionally, the elevation of privilege could allow attackers to move laterally within the cloud environment, potentially compromising other resources. Given the increasing adoption of cloud services across Europe and stringent data protection regulations like GDPR, such a breach could result in significant regulatory penalties and reputational damage. The high severity score and the network-based attack vector mean that attackers could exploit this vulnerability remotely if they have high-level access, increasing the risk profile for organizations with insufficient access controls.
Mitigation Recommendations
1. Apply official patches or updates from Microsoft as soon as they become available to address the JDBC injection vulnerability in Azure HDInsight. 2. Until patches are released, restrict network access to the Apache Ambari management interface to trusted administrators only, using network segmentation and firewall rules. 3. Enforce strict authentication and authorization policies to limit the number of users with high privileges (PR:H) in the HDInsight environment. 4. Implement input validation and sanitization controls where possible to prevent injection attacks. 5. Monitor logs and audit trails for unusual or unauthorized JDBC queries or privilege escalation attempts. 6. Conduct regular security assessments and penetration testing focused on cloud management interfaces. 7. Educate administrators about the risks of privilege misuse and the importance of secure configuration of Ambari and HDInsight clusters. 8. Consider deploying additional runtime protection or anomaly detection tools that can identify injection attempts or privilege escalations in real time.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- microsoft
- Date Reserved
- 2023-07-12T23:41:45.861Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6903adcaaebfcd54748fc86e
Added to database: 10/30/2025, 6:26:18 PM
Last enriched: 10/30/2025, 6:46:54 PM
Last updated: 2/3/2026, 6:15:54 AM
Views: 70
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