CVE-2024-37327: CWE-122: Heap-based Buffer Overflow in Microsoft Microsoft SQL Server 2017 (GDR)
SQL Server Native Client OLE DB Provider Remote Code Execution Vulnerability
AI Analysis
Technical Summary
CVE-2024-37327 is a heap-based buffer overflow vulnerability identified in the SQL Server Native Client OLE DB Provider component of Microsoft SQL Server 2017 (GDR version 14.0.0). The flaw arises from improper handling of memory buffers, which can be exploited remotely by an unauthenticated attacker to execute arbitrary code on the affected system. The vulnerability requires user interaction, such as opening a specially crafted file or connection, to trigger the overflow. Successful exploitation could lead to full compromise of the SQL Server instance, allowing attackers to gain elevated privileges, manipulate or exfiltrate sensitive data, and disrupt database availability. The CVSS v3.1 score of 8.8 reflects the high impact on confidentiality, integrity, and availability, combined with the ease of remote exploitation without privileges. Although no active exploits have been reported, the vulnerability is considered critical due to the widespread use of SQL Server 2017 in enterprise environments and the potential for severe damage if exploited. The vulnerability is categorized under CWE-122, indicating a classic heap-based buffer overflow scenario, which is a common and dangerous class of memory corruption bugs. Microsoft has not yet released a patch at the time of this report, emphasizing the need for proactive mitigation strategies.
Potential Impact
For European organizations, the impact of CVE-2024-37327 could be substantial. SQL Server 2017 is widely deployed across various sectors including finance, healthcare, government, and critical infrastructure within Europe. Exploitation could lead to unauthorized data access, data corruption, and service outages, undermining business continuity and regulatory compliance (e.g., GDPR). The ability to execute remote code without authentication increases the risk of widespread attacks, potentially enabling ransomware deployment or lateral movement within networks. Organizations relying on SQL Server for critical applications may face operational disruptions and reputational damage. The vulnerability's remote nature and high severity make it a prime target for threat actors aiming to compromise European IT environments, especially those with exposed SQL Server instances or insufficient network segmentation.
Mitigation Recommendations
1. Apply official Microsoft patches immediately once released for SQL Server 2017 (GDR). Monitor Microsoft security advisories closely for updates. 2. Until patches are available, restrict network access to SQL Server instances by implementing strict firewall rules and network segmentation to limit exposure to untrusted networks. 3. Disable or restrict the use of the SQL Server Native Client OLE DB Provider if not required by applications. 4. Employ intrusion detection and prevention systems (IDS/IPS) to monitor for anomalous traffic patterns or exploit attempts targeting SQL Server. 5. Conduct regular security audits and vulnerability scans to identify exposed SQL Server instances. 6. Educate users to avoid interacting with untrusted files or links that could trigger the vulnerability. 7. Implement robust logging and monitoring to detect suspicious activities indicative of exploitation attempts. 8. Consider deploying application-layer firewalls or database activity monitoring solutions to provide additional protection layers.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden
CVE-2024-37327: CWE-122: Heap-based Buffer Overflow in Microsoft Microsoft SQL Server 2017 (GDR)
Description
SQL Server Native Client OLE DB Provider Remote Code Execution Vulnerability
AI-Powered Analysis
Technical Analysis
CVE-2024-37327 is a heap-based buffer overflow vulnerability identified in the SQL Server Native Client OLE DB Provider component of Microsoft SQL Server 2017 (GDR version 14.0.0). The flaw arises from improper handling of memory buffers, which can be exploited remotely by an unauthenticated attacker to execute arbitrary code on the affected system. The vulnerability requires user interaction, such as opening a specially crafted file or connection, to trigger the overflow. Successful exploitation could lead to full compromise of the SQL Server instance, allowing attackers to gain elevated privileges, manipulate or exfiltrate sensitive data, and disrupt database availability. The CVSS v3.1 score of 8.8 reflects the high impact on confidentiality, integrity, and availability, combined with the ease of remote exploitation without privileges. Although no active exploits have been reported, the vulnerability is considered critical due to the widespread use of SQL Server 2017 in enterprise environments and the potential for severe damage if exploited. The vulnerability is categorized under CWE-122, indicating a classic heap-based buffer overflow scenario, which is a common and dangerous class of memory corruption bugs. Microsoft has not yet released a patch at the time of this report, emphasizing the need for proactive mitigation strategies.
Potential Impact
For European organizations, the impact of CVE-2024-37327 could be substantial. SQL Server 2017 is widely deployed across various sectors including finance, healthcare, government, and critical infrastructure within Europe. Exploitation could lead to unauthorized data access, data corruption, and service outages, undermining business continuity and regulatory compliance (e.g., GDPR). The ability to execute remote code without authentication increases the risk of widespread attacks, potentially enabling ransomware deployment or lateral movement within networks. Organizations relying on SQL Server for critical applications may face operational disruptions and reputational damage. The vulnerability's remote nature and high severity make it a prime target for threat actors aiming to compromise European IT environments, especially those with exposed SQL Server instances or insufficient network segmentation.
Mitigation Recommendations
1. Apply official Microsoft patches immediately once released for SQL Server 2017 (GDR). Monitor Microsoft security advisories closely for updates. 2. Until patches are available, restrict network access to SQL Server instances by implementing strict firewall rules and network segmentation to limit exposure to untrusted networks. 3. Disable or restrict the use of the SQL Server Native Client OLE DB Provider if not required by applications. 4. Employ intrusion detection and prevention systems (IDS/IPS) to monitor for anomalous traffic patterns or exploit attempts targeting SQL Server. 5. Conduct regular security audits and vulnerability scans to identify exposed SQL Server instances. 6. Educate users to avoid interacting with untrusted files or links that could trigger the vulnerability. 7. Implement robust logging and monitoring to detect suspicious activities indicative of exploitation attempts. 8. Consider deploying application-layer firewalls or database activity monitoring solutions to provide additional protection layers.
Affected Countries
For access to advanced analysis and higher rate limits, contact root@offseq.com
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- microsoft
- Date Reserved
- 2024-06-05T20:19:26.775Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d981dc4522896dcbdb67b
Added to database: 5/21/2025, 9:08:45 AM
Last enriched: 10/14/2025, 11:00:33 PM
Last updated: 12/3/2025, 6:01:09 PM
Views: 30
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.