NVIDIA Windows GPU Display Driver Kernel Mode Layer DxgkDdiCreateAllocation divide by zero
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.2 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in NVIDIA Windows GPU Display Driver and classified as problematic. This vulnerability affects the function DxgkDdiCreateAllocation of the component Kernel Mode Layer. The manipulation leads to divide by zero.
This vulnerability is listed as CVE-2017-6270. The attack must be carried out locally. There is no available exploit.
The affected component should be upgraded.
Details
A vulnerability was found in NVIDIA Windows GPU Display Driver (Hardware Driver Software) (the affected version unknown) and classified as problematic. This issue affects the function DxgkDdiCreateAllocation of the component Kernel Mode Layer. The manipulation with an unknown input leads to a divide by zero vulnerability. Using CWE to declare the problem leads to CWE-369. The product divides a value by zero. Impacted is availability. The summary by CVE is:
NVIDIA Windows GPU Display Driver contains a vulnerability in the kernel mode layer handler for DxgkDdiCreateAllocation where untrusted user input is used as a divisor without validation during a calculation which may lead to a potential divide by zero and denial of service.
The bug was discovered 09/25/2017. The weakness was presented 09/22/2017 (Website). The advisory is shared at nvidia.custhelp.com. The identification of this vulnerability is CVE-2017-6270 since 02/23/2017. The exploitation is known to be easy. An attack has to be approached locally. No form of authentication is needed for a successful exploitation. Technical details are known, but no exploit is available.
The vulnerability scanner Nessus provides a plugin with the ID 103458 (NVIDIA Windows GPU Display Driver 375.x / 384.x < 385.08 Multiple Vulnerabilities), which helps to determine the existence of the flaw in a target environment. It is assigned to the family Windows and running in the context l.
Upgrading eliminates this vulnerability. A possible mitigation has been published even before and not after the disclosure of the vulnerability.
The vulnerability is also documented in the databases at Tenable (103458) and SecurityFocus (BID 101002†). See VDB-5529, VDB-107029, VDB-107030 and VDB-107031 for similar entries. Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Type
Vendor
Name
License
Website
- Vendor: https://www.nvidia.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.4VulDB Meta Temp Score: 4.3
VulDB Base Score: 3.3
VulDB Temp Score: 3.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Divide by zeroCWE: CWE-369 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: No
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Nessus ID: 103458
Nessus Name: NVIDIA Windows GPU Display Driver 375.x / 384.x < 385.08 Multiple Vulnerabilities
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
02/23/2017 🔍09/21/2017 🔍
09/22/2017 🔍
09/22/2017 🔍
09/23/2017 🔍
09/25/2017 🔍
09/25/2017 🔍
09/25/2017 🔍
01/14/2021 🔍
Sources
Vendor: nvidia.comAdvisory: nvidia.custhelp.com
Researcher: Enrique Nissim
Status: Not defined
Confirmation: 🔍
CVE: CVE-2017-6270 (🔍)
GCVE (CVE): GCVE-0-2017-6270
GCVE (VulDB): GCVE-100-107033
SecurityFocus: 101002 - NVIDIA GPU Driver CVE-2017-6270 Local Denial of Service Vulnerability
See also: 🔍
Entry
Created: 09/23/2017 17:23Updated: 01/14/2021 08:01
Changes: 09/23/2017 17:23 (66), 11/19/2019 06:55 (6), 01/14/2021 08:01 (3)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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