CVE-2024-20701: 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-2024-20701 is a heap-based buffer overflow vulnerability classified under CWE-122, found in the SQL Server Native Client OLE DB Provider component of Microsoft SQL Server 2017 (GDR version 14.0.0). This vulnerability allows remote attackers to execute arbitrary code on affected systems by sending specially crafted requests to the SQL Server instance. The flaw arises due to improper handling of memory buffers, leading to overflow conditions that can overwrite critical memory regions. Exploitation 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 vulnerability affects confidentiality, integrity, and availability, enabling attackers to gain full control over the database server, potentially leading to data theft, data corruption, or service disruption. The CVSS v3.1 base score is 8.8 (high), reflecting the critical nature of remote code execution with network attack vector and low attack complexity. Although no public exploits are known at this time, the vulnerability is publicly disclosed and should be treated as a significant risk. The absence of patch links suggests that organizations must monitor Microsoft’s official channels for updates or mitigations. Given the widespread use of SQL Server in enterprise environments, this vulnerability poses a substantial threat to organizations relying on SQL Server 2017 for critical data processing and storage.
Potential Impact
European organizations running Microsoft SQL Server 2017 are at risk of remote code execution attacks that could compromise sensitive data, disrupt business operations, and damage reputations. The vulnerability could be exploited to gain unauthorized access to confidential information, modify or delete critical data, or cause denial of service conditions. Industries such as finance, healthcare, government, and manufacturing, which heavily depend on SQL Server databases, could face severe operational and regulatory consequences. The ability to execute code remotely without authentication increases the attack surface, especially for externally facing database servers or those accessible via VPN or internal networks. The requirement for user interaction may limit automated exploitation but does not eliminate risk, particularly in environments with less stringent user security awareness. The lack of known exploits currently provides a window for proactive defense, but the high severity score indicates that attackers may develop exploits rapidly once the vulnerability details are widely understood.
Mitigation Recommendations
Organizations should immediately inventory their SQL Server 2017 instances and assess exposure, especially those accessible over networks. Although no official patches are currently linked, monitoring Microsoft’s security advisories for updates is critical. In the interim, restrict network access to SQL Server instances using firewalls and network segmentation to limit exposure. Disable or restrict the use of the SQL Server Native Client OLE DB Provider where feasible. Employ application whitelisting and endpoint protection solutions capable of detecting anomalous behavior indicative of exploitation attempts. Educate users about the risks of interacting with untrusted data sources or links that could trigger the vulnerability. Implement robust monitoring and logging to detect suspicious activity related to SQL Server connections. Consider upgrading to a more recent, supported version of SQL Server where this vulnerability is not present or has been patched. Finally, prepare incident response plans to quickly address potential exploitation scenarios.
Affected Countries
Germany, United Kingdom, France, Italy, Spain, Netherlands, Poland, Sweden, Belgium, Switzerland
CVE-2024-20701: 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-2024-20701 is a heap-based buffer overflow vulnerability classified under CWE-122, found in the SQL Server Native Client OLE DB Provider component of Microsoft SQL Server 2017 (GDR version 14.0.0). This vulnerability allows remote attackers to execute arbitrary code on affected systems by sending specially crafted requests to the SQL Server instance. The flaw arises due to improper handling of memory buffers, leading to overflow conditions that can overwrite critical memory regions. Exploitation 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 vulnerability affects confidentiality, integrity, and availability, enabling attackers to gain full control over the database server, potentially leading to data theft, data corruption, or service disruption. The CVSS v3.1 base score is 8.8 (high), reflecting the critical nature of remote code execution with network attack vector and low attack complexity. Although no public exploits are known at this time, the vulnerability is publicly disclosed and should be treated as a significant risk. The absence of patch links suggests that organizations must monitor Microsoft’s official channels for updates or mitigations. Given the widespread use of SQL Server in enterprise environments, this vulnerability poses a substantial threat to organizations relying on SQL Server 2017 for critical data processing and storage.
Potential Impact
European organizations running Microsoft SQL Server 2017 are at risk of remote code execution attacks that could compromise sensitive data, disrupt business operations, and damage reputations. The vulnerability could be exploited to gain unauthorized access to confidential information, modify or delete critical data, or cause denial of service conditions. Industries such as finance, healthcare, government, and manufacturing, which heavily depend on SQL Server databases, could face severe operational and regulatory consequences. The ability to execute code remotely without authentication increases the attack surface, especially for externally facing database servers or those accessible via VPN or internal networks. The requirement for user interaction may limit automated exploitation but does not eliminate risk, particularly in environments with less stringent user security awareness. The lack of known exploits currently provides a window for proactive defense, but the high severity score indicates that attackers may develop exploits rapidly once the vulnerability details are widely understood.
Mitigation Recommendations
Organizations should immediately inventory their SQL Server 2017 instances and assess exposure, especially those accessible over networks. Although no official patches are currently linked, monitoring Microsoft’s security advisories for updates is critical. In the interim, restrict network access to SQL Server instances using firewalls and network segmentation to limit exposure. Disable or restrict the use of the SQL Server Native Client OLE DB Provider where feasible. Employ application whitelisting and endpoint protection solutions capable of detecting anomalous behavior indicative of exploitation attempts. Educate users about the risks of interacting with untrusted data sources or links that could trigger the vulnerability. Implement robust monitoring and logging to detect suspicious activity related to SQL Server connections. Consider upgrading to a more recent, supported version of SQL Server where this vulnerability is not present or has been patched. Finally, prepare incident response plans to quickly address potential exploitation scenarios.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- microsoft
- Date Reserved
- 2023-12-01T00:38:27.975Z
- Cisa Enriched
- true
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 682d981dc4522896dcbdb4cd
Added to database: 5/21/2025, 9:08:45 AM
Last enriched: 10/14/2025, 10:53:03 PM
Last updated: 12/3/2025, 11:03:06 AM
Views: 31
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