CVE-2025-49717: CWE-122: Heap-based Buffer Overflow in Microsoft Microsoft SQL Server 2019 (GDR)
Heap-based buffer overflow in SQL Server allows an authorized attacker to execute code over a network.
AI Analysis
Technical Summary
CVE-2025-49717 is a heap-based buffer overflow vulnerability identified in Microsoft SQL Server 2019 (GDR), specifically affecting version 15.0.0. This vulnerability, classified under CWE-122, allows an authorized attacker with low privileges to execute arbitrary code remotely over the network. The flaw arises from improper handling of memory buffers on the heap, which can be exploited to overwrite critical memory regions, leading to potential code execution. The vulnerability requires network access and low-level privileges but does not require user interaction. The CVSS v3.1 base score is 8.5, indicating a high severity level, with a vector string of AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H/E:U/RL:O/RC:C. This means the attack vector is network-based, with high attack complexity, low privileges required, no user interaction, and it impacts confidentiality, integrity, and availability with a scope change. Although no known exploits are currently reported in the wild, the vulnerability poses a significant risk due to the critical nature of SQL Server in enterprise environments and the potential for remote code execution. The lack of available patches at the time of publication increases the urgency for mitigation and monitoring.
Potential Impact
For European organizations, this vulnerability presents a substantial risk, especially for those relying on Microsoft SQL Server 2019 for critical database operations. Successful exploitation could lead to full compromise of the database server, resulting in unauthorized data access, data manipulation, or service disruption. This can affect confidentiality by exposing sensitive data, integrity by allowing unauthorized changes, and availability by causing denial of service or system crashes. Given the widespread use of Microsoft SQL Server across various sectors including finance, healthcare, government, and manufacturing in Europe, the impact could be severe. Organizations handling personal data under GDPR could face regulatory and reputational consequences if data breaches occur. The network-based nature of the attack means that perimeter defenses alone may not be sufficient, and internal threat actors or compromised credentials could be leveraged by attackers. The high attack complexity somewhat reduces the likelihood of widespread exploitation but does not eliminate the risk, especially from skilled threat actors targeting high-value assets.
Mitigation Recommendations
1. Immediate mitigation should include restricting network access to SQL Server instances to trusted hosts and networks only, using firewalls and network segmentation to limit exposure. 2. Enforce the principle of least privilege by reviewing and minimizing SQL Server user permissions, ensuring that accounts have only the necessary privileges to perform their functions. 3. Monitor SQL Server logs and network traffic for unusual activities that could indicate exploitation attempts, such as unexpected queries or connections from unauthorized IPs. 4. Implement strong authentication mechanisms, including multi-factor authentication for administrative access to SQL Server. 5. Apply any available vendor advisories or interim mitigations from Microsoft, such as disabling vulnerable features or services if feasible. 6. Prepare for patch deployment by testing updates in controlled environments once Microsoft releases a security patch addressing this vulnerability. 7. Conduct regular vulnerability assessments and penetration testing focusing on SQL Server environments to identify and remediate potential weaknesses. 8. Educate database administrators and security teams about this vulnerability and the importance of rapid response to suspicious activities.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden
CVE-2025-49717: CWE-122: Heap-based Buffer Overflow in Microsoft Microsoft SQL Server 2019 (GDR)
Description
Heap-based buffer overflow in SQL Server allows an authorized attacker to execute code over a network.
AI-Powered Analysis
Technical Analysis
CVE-2025-49717 is a heap-based buffer overflow vulnerability identified in Microsoft SQL Server 2019 (GDR), specifically affecting version 15.0.0. This vulnerability, classified under CWE-122, allows an authorized attacker with low privileges to execute arbitrary code remotely over the network. The flaw arises from improper handling of memory buffers on the heap, which can be exploited to overwrite critical memory regions, leading to potential code execution. The vulnerability requires network access and low-level privileges but does not require user interaction. The CVSS v3.1 base score is 8.5, indicating a high severity level, with a vector string of AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H/E:U/RL:O/RC:C. This means the attack vector is network-based, with high attack complexity, low privileges required, no user interaction, and it impacts confidentiality, integrity, and availability with a scope change. Although no known exploits are currently reported in the wild, the vulnerability poses a significant risk due to the critical nature of SQL Server in enterprise environments and the potential for remote code execution. The lack of available patches at the time of publication increases the urgency for mitigation and monitoring.
Potential Impact
For European organizations, this vulnerability presents a substantial risk, especially for those relying on Microsoft SQL Server 2019 for critical database operations. Successful exploitation could lead to full compromise of the database server, resulting in unauthorized data access, data manipulation, or service disruption. This can affect confidentiality by exposing sensitive data, integrity by allowing unauthorized changes, and availability by causing denial of service or system crashes. Given the widespread use of Microsoft SQL Server across various sectors including finance, healthcare, government, and manufacturing in Europe, the impact could be severe. Organizations handling personal data under GDPR could face regulatory and reputational consequences if data breaches occur. The network-based nature of the attack means that perimeter defenses alone may not be sufficient, and internal threat actors or compromised credentials could be leveraged by attackers. The high attack complexity somewhat reduces the likelihood of widespread exploitation but does not eliminate the risk, especially from skilled threat actors targeting high-value assets.
Mitigation Recommendations
1. Immediate mitigation should include restricting network access to SQL Server instances to trusted hosts and networks only, using firewalls and network segmentation to limit exposure. 2. Enforce the principle of least privilege by reviewing and minimizing SQL Server user permissions, ensuring that accounts have only the necessary privileges to perform their functions. 3. Monitor SQL Server logs and network traffic for unusual activities that could indicate exploitation attempts, such as unexpected queries or connections from unauthorized IPs. 4. Implement strong authentication mechanisms, including multi-factor authentication for administrative access to SQL Server. 5. Apply any available vendor advisories or interim mitigations from Microsoft, such as disabling vulnerable features or services if feasible. 6. Prepare for patch deployment by testing updates in controlled environments once Microsoft releases a security patch addressing this vulnerability. 7. Conduct regular vulnerability assessments and penetration testing focusing on SQL Server environments to identify and remediate potential weaknesses. 8. Educate database administrators and security teams about this vulnerability and the importance of rapid response to suspicious activities.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- microsoft
- Date Reserved
- 2025-06-09T21:23:11.521Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 686d50d76f40f0eb72f91c7c
Added to database: 7/8/2025, 5:09:43 PM
Last enriched: 8/26/2025, 1:07:44 AM
Last updated: 11/19/2025, 10:03:50 PM
Views: 42
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