CVE-2024-37325: CWE-200: Exposure of Sensitive Information to an Unauthorized Actor in Microsoft Azure Data Science Virtual Machines
Azure Science Virtual Machine (DSVM) Elevation of Privilege Vulnerability
AI Analysis
Technical Summary
CVE-2024-37325 is a high-severity vulnerability affecting Microsoft Azure Data Science Virtual Machines (DSVM), specifically version 1.0.0. The vulnerability is classified under CWE-200, which involves the exposure of sensitive information to unauthorized actors. This flaw allows an attacker to gain access to sensitive data without any authentication or user interaction, as indicated by the CVSS vector (AV:N/AC:H/PR:N/UI:N). The vulnerability impacts confidentiality, integrity, and availability, with a CVSS score of 8.1, reflecting its critical impact. The attack vector is network-based, meaning exploitation can occur remotely over the internet. The vulnerability is an elevation of privilege type, which suggests that an attacker can leverage this flaw to escalate their privileges within the DSVM environment, potentially accessing or manipulating sensitive data and system resources. Although no known exploits are currently reported in the wild, the presence of this vulnerability in a cloud-based virtual machine environment used for data science workloads poses significant risks, especially given the sensitive nature of data typically processed in these environments. The absence of available patches at the time of publication increases the urgency for organizations to implement compensating controls and monitor for suspicious activity.
Potential Impact
For European organizations, the impact of CVE-2024-37325 can be substantial. Azure DSVMs are often used in research, financial modeling, healthcare analytics, and other data-intensive fields where sensitive personal and proprietary data is processed. Unauthorized exposure of such data could lead to breaches of GDPR and other data protection regulations, resulting in legal penalties and reputational damage. The elevation of privilege aspect means attackers could gain broader access within the virtual machine environment, potentially compromising other workloads or pivoting to other parts of the cloud infrastructure. This could disrupt critical data science operations, delay projects, and cause financial losses. Additionally, the exposure of sensitive intellectual property or personal data could undermine trust in cloud services and impact compliance with European cybersecurity frameworks. The remote exploitability without user interaction further increases the threat level, as attackers can automate attacks at scale.
Mitigation Recommendations
Given the lack of an official patch at the time of disclosure, European organizations should take immediate practical steps to mitigate risk. First, restrict network access to Azure DSVM instances using network security groups (NSGs) and firewall rules to limit exposure to trusted IP addresses only. Implement strict identity and access management (IAM) policies to minimize permissions and monitor for unusual privilege escalations. Enable Azure Security Center and other monitoring tools to detect anomalous activities indicative of exploitation attempts. Consider isolating DSVM workloads in dedicated virtual networks with no direct internet access, using jump hosts or VPNs for administrative access. Regularly audit and review DSVM configurations and logs for signs of compromise. Organizations should also prepare to apply patches promptly once Microsoft releases them and test updates in controlled environments before deployment. Finally, ensure that data processed on DSVMs is encrypted at rest and in transit to reduce the impact of potential data exposure.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Ireland, Belgium
CVE-2024-37325: CWE-200: Exposure of Sensitive Information to an Unauthorized Actor in Microsoft Azure Data Science Virtual Machines
Description
Azure Science Virtual Machine (DSVM) Elevation of Privilege Vulnerability
AI-Powered Analysis
Technical Analysis
CVE-2024-37325 is a high-severity vulnerability affecting Microsoft Azure Data Science Virtual Machines (DSVM), specifically version 1.0.0. The vulnerability is classified under CWE-200, which involves the exposure of sensitive information to unauthorized actors. This flaw allows an attacker to gain access to sensitive data without any authentication or user interaction, as indicated by the CVSS vector (AV:N/AC:H/PR:N/UI:N). The vulnerability impacts confidentiality, integrity, and availability, with a CVSS score of 8.1, reflecting its critical impact. The attack vector is network-based, meaning exploitation can occur remotely over the internet. The vulnerability is an elevation of privilege type, which suggests that an attacker can leverage this flaw to escalate their privileges within the DSVM environment, potentially accessing or manipulating sensitive data and system resources. Although no known exploits are currently reported in the wild, the presence of this vulnerability in a cloud-based virtual machine environment used for data science workloads poses significant risks, especially given the sensitive nature of data typically processed in these environments. The absence of available patches at the time of publication increases the urgency for organizations to implement compensating controls and monitor for suspicious activity.
Potential Impact
For European organizations, the impact of CVE-2024-37325 can be substantial. Azure DSVMs are often used in research, financial modeling, healthcare analytics, and other data-intensive fields where sensitive personal and proprietary data is processed. Unauthorized exposure of such data could lead to breaches of GDPR and other data protection regulations, resulting in legal penalties and reputational damage. The elevation of privilege aspect means attackers could gain broader access within the virtual machine environment, potentially compromising other workloads or pivoting to other parts of the cloud infrastructure. This could disrupt critical data science operations, delay projects, and cause financial losses. Additionally, the exposure of sensitive intellectual property or personal data could undermine trust in cloud services and impact compliance with European cybersecurity frameworks. The remote exploitability without user interaction further increases the threat level, as attackers can automate attacks at scale.
Mitigation Recommendations
Given the lack of an official patch at the time of disclosure, European organizations should take immediate practical steps to mitigate risk. First, restrict network access to Azure DSVM instances using network security groups (NSGs) and firewall rules to limit exposure to trusted IP addresses only. Implement strict identity and access management (IAM) policies to minimize permissions and monitor for unusual privilege escalations. Enable Azure Security Center and other monitoring tools to detect anomalous activities indicative of exploitation attempts. Consider isolating DSVM workloads in dedicated virtual networks with no direct internet access, using jump hosts or VPNs for administrative access. Regularly audit and review DSVM configurations and logs for signs of compromise. Organizations should also prepare to apply patches promptly once Microsoft releases them and test updates in controlled environments before deployment. Finally, ensure that data processed on DSVMs is encrypted at rest and in transit to reduce the impact of potential data exposure.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- microsoft
- Date Reserved
- 2024-06-05T20:19:26.774Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682cd0fa1484d88663aec15d
Added to database: 5/20/2025, 6:59:06 PM
Last enriched: 7/4/2025, 6:13:38 PM
Last updated: 8/18/2025, 10:02:43 PM
Views: 12
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