CVE-2024-37333: 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-2024-37333 is a heap-based buffer overflow vulnerability classified under CWE-122, found in Microsoft SQL Server 2017 (GDR) specifically within the SQL Server Native Client OLE DB Provider component. This vulnerability allows a remote attacker to execute arbitrary code on the affected system by sending specially crafted requests to the SQL Server instance. The flaw arises due to improper handling of memory buffers on the heap, which can be overflowed to overwrite adjacent memory, potentially leading to code execution. The vulnerability does not require prior authentication (PR:N) but does require user interaction (UI:R), such as convincing a user to connect to a malicious server or open a crafted file. The CVSS v3.1 base score is 8.8, indicating a high severity with network attack vector (AV:N), low attack complexity (AC:L), and impacts to confidentiality, integrity, and availability (C:H/I:H/A:H). No patches or exploits are currently publicly available, but the vulnerability is officially published and recognized by CISA. The vulnerability affects version 14.0.0 of SQL Server 2017 (GDR), which is widely used in enterprise environments for database management. Exploitation could allow attackers to gain full control over the database server, leading to data theft, data manipulation, or service disruption. The vulnerability's presence in a critical database component makes it a significant risk for organizations relying on Microsoft SQL Server for their operations.
Potential Impact
For European organizations, the impact of CVE-2024-37333 could be severe. Microsoft SQL Server 2017 is extensively used across various sectors including finance, healthcare, government, and critical infrastructure. Successful exploitation could lead to unauthorized access to sensitive data, disruption of business-critical applications, and potential lateral movement within networks. This could result in significant financial losses, regulatory penalties under GDPR for data breaches, and damage to organizational reputation. The remote code execution capability means attackers could deploy malware, ransomware, or establish persistent backdoors. Given the high availability of SQL Server in European enterprises, the threat could affect a broad range of organizations, especially those with exposed or poorly segmented database servers. The requirement for user interaction slightly reduces the risk but does not eliminate it, as phishing or social engineering could facilitate exploitation.
Mitigation Recommendations
1. Monitor Microsoft security advisories closely and apply official patches or updates for SQL Server 2017 (GDR) as soon as they become available. 2. Restrict network access to SQL Server instances by implementing strict firewall rules and network segmentation, limiting connections to trusted hosts only. 3. Disable or restrict the use of the SQL Server Native Client OLE DB Provider where possible, especially in environments where it is not required. 4. Employ application whitelisting and endpoint protection solutions to detect and block suspicious activities related to exploitation attempts. 5. Educate users about the risks of interacting with untrusted sources that could trigger the vulnerability, reducing the likelihood of successful user interaction. 6. Conduct regular vulnerability scans and penetration tests focused on SQL Server environments to identify and remediate exposure. 7. Implement robust logging and monitoring to detect anomalous database activity that could indicate exploitation attempts. 8. Consider deploying network intrusion detection/prevention systems (IDS/IPS) with signatures tuned to detect exploitation attempts targeting this vulnerability.
Affected Countries
Germany, United Kingdom, France, Netherlands, Italy, Spain, Sweden, Belgium, Poland, Switzerland
CVE-2024-37333: 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-2024-37333 is a heap-based buffer overflow vulnerability classified under CWE-122, found in Microsoft SQL Server 2017 (GDR) specifically within the SQL Server Native Client OLE DB Provider component. This vulnerability allows a remote attacker to execute arbitrary code on the affected system by sending specially crafted requests to the SQL Server instance. The flaw arises due to improper handling of memory buffers on the heap, which can be overflowed to overwrite adjacent memory, potentially leading to code execution. The vulnerability does not require prior authentication (PR:N) but does require user interaction (UI:R), such as convincing a user to connect to a malicious server or open a crafted file. The CVSS v3.1 base score is 8.8, indicating a high severity with network attack vector (AV:N), low attack complexity (AC:L), and impacts to confidentiality, integrity, and availability (C:H/I:H/A:H). No patches or exploits are currently publicly available, but the vulnerability is officially published and recognized by CISA. The vulnerability affects version 14.0.0 of SQL Server 2017 (GDR), which is widely used in enterprise environments for database management. Exploitation could allow attackers to gain full control over the database server, leading to data theft, data manipulation, or service disruption. The vulnerability's presence in a critical database component makes it a significant risk for organizations relying on Microsoft SQL Server for their operations.
Potential Impact
For European organizations, the impact of CVE-2024-37333 could be severe. Microsoft SQL Server 2017 is extensively used across various sectors including finance, healthcare, government, and critical infrastructure. Successful exploitation could lead to unauthorized access to sensitive data, disruption of business-critical applications, and potential lateral movement within networks. This could result in significant financial losses, regulatory penalties under GDPR for data breaches, and damage to organizational reputation. The remote code execution capability means attackers could deploy malware, ransomware, or establish persistent backdoors. Given the high availability of SQL Server in European enterprises, the threat could affect a broad range of organizations, especially those with exposed or poorly segmented database servers. The requirement for user interaction slightly reduces the risk but does not eliminate it, as phishing or social engineering could facilitate exploitation.
Mitigation Recommendations
1. Monitor Microsoft security advisories closely and apply official patches or updates for SQL Server 2017 (GDR) as soon as they become available. 2. Restrict network access to SQL Server instances by implementing strict firewall rules and network segmentation, limiting connections to trusted hosts only. 3. Disable or restrict the use of the SQL Server Native Client OLE DB Provider where possible, especially in environments where it is not required. 4. Employ application whitelisting and endpoint protection solutions to detect and block suspicious activities related to exploitation attempts. 5. Educate users about the risks of interacting with untrusted sources that could trigger the vulnerability, reducing the likelihood of successful user interaction. 6. Conduct regular vulnerability scans and penetration tests focused on SQL Server environments to identify and remediate exposure. 7. Implement robust logging and monitoring to detect anomalous database activity that could indicate exploitation attempts. 8. Consider deploying network intrusion detection/prevention systems (IDS/IPS) with signatures tuned to detect exploitation attempts targeting this vulnerability.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- microsoft
- Date Reserved
- 2024-06-05T20:19:26.776Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d981dc4522896dcbdb6ac
Added to database: 5/21/2025, 9:08:45 AM
Last enriched: 12/10/2025, 12:15:27 AM
Last updated: 1/19/2026, 9:52:32 AM
Views: 59
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