NVIDIA Windows GPU Display Driver Kernel Mode Layer memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.7 | $0-$5k | 0.00 |
Summary
A vulnerability was found in NVIDIA Windows GPU Display Driver. It has been classified as problematic. The affected element is an unknown function of the component Kernel Mode Layer. The manipulation leads to memory corruption. This vulnerability is uniquely identified as CVE-2017-6260. Local access is required to approach this attack. No exploit exists. Upgrading the affected component is recommended.
Details
A vulnerability, which was classified as problematic, has been found in NVIDIA Windows GPU Display Driver (Hardware Driver Software) (unknown version). This issue affects an unknown code block of the component Kernel Mode Layer. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is availability. The summary by CVE is:
NVIDIA Windows GPU Display Driver contains a vulnerability in the kernel mode layer helper function where an incorrect calculation of string length may lead to denial of service.
The bug was discovered 07/31/2017. The weakness was disclosed 07/28/2017 (Website). It is possible to read the advisory at nvidia.custhelp.com. The identification of this vulnerability is CVE-2017-6260 since 02/23/2017. Attacking locally is a requirement. The requirement for exploitation is a simple authentication. The technical details are unknown and an exploit is not publicly available.
The vulnerability scanner Nessus provides a plugin with the ID 102783 (NVIDIA Windows GPU Display Driver 375.x < 377.55 / 384.x < 384.94 / 385.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. The commercial vulnerability scanner Qualys is able to test this issue with plugin 370484 (NVIDIA GPU Display Driver Kernel Mode Layer Handler Multiple Vulnerabilities).
Upgrading eliminates this vulnerability. A possible mitigation has been published 3 days after the disclosure of the vulnerability.
The vulnerability is also documented in the vulnerability database at Tenable (102783). The entries VDB-104619, VDB-104620, VDB-104621 and VDB-104622 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for 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: 4.9VulDB Meta Temp Score: 4.8
VulDB Base Score: 3.3
VulDB Temp Score: 3.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
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: 102783
Nessus Name: NVIDIA Windows GPU Display Driver 375.x < 377.55 / 384.x < 384.94 / 385.x < 385.08 Multiple Vulnerabilities
Nessus File: 🔍
Nessus Risk: 🔍
Nessus Family: 🔍
Nessus Context: 🔍
Qualys ID: 🔍
Qualys Name: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
Reaction Time: 🔍
0-Day Time: 🔍
Exposure Time: 🔍
Timeline
02/23/2017 🔍07/28/2017 🔍
07/28/2017 🔍
07/29/2017 🔍
07/31/2017 🔍
07/31/2017 🔍
08/26/2017 🔍
11/02/2019 🔍
Sources
Vendor: nvidia.comAdvisory: nvidia.custhelp.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2017-6260 (🔍)
GCVE (CVE): GCVE-0-2017-6260
GCVE (VulDB): GCVE-100-104627
See also: 🔍
Entry
Created: 07/29/2017 17:27Updated: 11/02/2019 10:18
Changes: 07/29/2017 17:27 (67), 11/02/2019 10:18 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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