Microsoft SQL Server 2016/2017/2019 Native Client heap-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.1 | $5k-$25k | 0.00 |
Summary
A vulnerability classified as critical has been found in Microsoft SQL Server 2016/2017/2019. The impacted element is an unknown function of the component Native Client. Performing a manipulation results in heap-based overflow. This vulnerability is known as CVE-2024-48995. Remote exploitation of the attack is possible. No exploit is available. To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability, which was classified as critical, was found in Microsoft SQL Server 2016/2017/2019. This affects some unknown processing of the component Native Client. The manipulation with an unknown input leads to a heap-based overflow vulnerability. CWE is classifying the issue as CWE-122. A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc(). This is going to have an impact on confidentiality, integrity, and availability.
The weakness was published 11/12/2024 as confirmed security update guide (Website). It is possible to read the advisory at msrc.microsoft.com. This vulnerability is uniquely identified as CVE-2024-48995. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 11/16/2024).
The vulnerability scanner Nessus provides a plugin with the ID 211472 (Security Updates for Microsoft SQL Server (November 2024)), which helps to determine the existence of the flaw in a target environment.
Applying a patch is able to eliminate this problem. A possible mitigation has been published immediately after the disclosure of the vulnerability.
The vulnerability is also documented in the vulnerability database at Tenable (211472). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.microsoft.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.8VulDB Meta Temp Score: 8.1
VulDB Base Score: 8.8
VulDB Temp Score: 7.7
VulDB Vector: 🔍
VulDB Reliability: 🔍
Vendor Base Score (Microsoft): 8.8
Vendor Vector (Microsoft): 🔍
CNA Base Score: 8.8
CNA Vector (Microsoft): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Heap-based overflowCWE: CWE-122 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Unproven
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 211472
Nessus Name: Security Updates for Microsoft SQL Server (November 2024)
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Timeline
11/12/2024 🔍11/12/2024 🔍
11/12/2024 🔍
02/27/2025 🔍
Sources
Vendor: microsoft.comAdvisory: msrc.microsoft.com
Status: Confirmed
CVE: CVE-2024-48995 (🔍)
GCVE (CVE): GCVE-0-2024-48995
GCVE (VulDB): GCVE-100-284115
Entry
Created: 11/12/2024 19:20Updated: 02/27/2025 20:36
Changes: 11/12/2024 19:20 (34), 11/12/2024 19:24 (35), 11/15/2024 17:37 (11), 11/16/2024 00:07 (2), 02/27/2025 20:36 (3)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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