Jiangmin Antivirus 16.0.0.100 Driver KVFG.sys input validation

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.5$0-$5k0.00

Summaryinfo

A vulnerability was found in Jiangmin Antivirus 16.0.0.100. It has been classified as critical. Affected by this vulnerability is an unknown functionality in the library KVFG.sys of the component Driver. This manipulation causes input validation. This vulnerability is registered as CVE-2018-6786. The attack needs to be launched locally. No exploit is available.

Detailsinfo

A vulnerability classified as problematic was found in Jiangmin Antivirus 16.0.0.100 (Anti-Malware Software). Affected by this vulnerability is an unknown code block in the library KVFG.sys of the component Driver. The manipulation with an unknown input leads to a input validation vulnerability. The CWE definition for the vulnerability is CWE-20. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

In Jiangmin Antivirus 16.0.0.100, the driver file (KVFG.sys) allows local users to cause a denial of service (BSOD) or possibly have unspecified other impact because of not validating input values from IOCtl 0x220840.

The bug was discovered 02/06/2018. The weakness was published 02/06/2018 (Website). It is possible to read the advisory at github.com. This vulnerability is known as CVE-2018-6786 since 02/06/2018. Attacking locally is a requirement. The requirement for exploitation is a single authentication. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 01/02/2020).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Similar entries are available at VDB-112916, VDB-112917, VDB-112914 and VDB-112913. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.5
VulDB Meta Temp Score: 5.5

VulDB Base Score: 3.3
VulDB Temp Score: 3.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.8
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Input validation
CWE: CWE-20
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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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

02/06/2018 🔍
02/06/2018 +0 days 🔍
02/06/2018 +0 days 🔍
02/06/2018 +0 days 🔍
02/07/2018 +1 days 🔍
01/02/2020 +694 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2018-6786 (🔍)
GCVE (CVE): GCVE-0-2018-6786
GCVE (VulDB): GCVE-100-112915
See also: 🔍

Entryinfo

Created: 02/07/2018 08:22
Updated: 01/02/2020 10:54
Changes: 02/07/2018 08:22 (58), 01/02/2020 10:54 (1)
Complete: 🔍
Cache ID: 216::103

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