libgig 4.1.0 DLS.cpp DLS::Region::GetSample out-of-bounds

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.5$0-$5k0.00

Summaryinfo

A vulnerability was found in libgig 4.1.0. It has been classified as critical. The impacted element is the function DLS::Region::GetSample of the file DLS.cpp. The manipulation leads to out-of-bounds. This vulnerability is referenced as CVE-2018-18194. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability, which was classified as critical, has been found in libgig 4.1.0 (Software Library). This issue affects the function DLS::Region::GetSample of the file DLS.cpp. The manipulation with an unknown input leads to a out-of-bounds vulnerability. Using CWE to declare the problem leads to CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

An issue was discovered in libgig 4.1.0. There is a heap-based buffer over-read in DLS::Region::GetSample() in DLS.cpp.

The bug was discovered 10/08/2018. The weakness was published 10/09/2018 (Website). The advisory is shared at github.com. The identification of this vulnerability is CVE-2018-18194 since 10/09/2018. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available.

The vulnerability was handled as a non-public zero-day exploit for at least 1 days. During that time the estimated underground price was around $0-$5k.

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-125163, VDB-125164, VDB-125166 and VDB-125167. If you want to get the best quality for vulnerability data then you always have to consider VulDB.

Productinfo

Type

Name

Version

License

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.6

VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
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: Out-of-bounds
CWE: CWE-125 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

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

10/08/2018 🔍
10/09/2018 +0 days 🔍
10/09/2018 +0 days 🔍
10/09/2018 +0 days 🔍
10/10/2018 +1 days 🔍
04/01/2020 +539 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2018-18194 (🔍)
GCVE (CVE): GCVE-0-2018-18194
GCVE (VulDB): GCVE-100-125165
See also: 🔍

Entryinfo

Created: 10/10/2018 13:16
Updated: 04/01/2020 11:48
Changes: 10/10/2018 13:16 (58), 04/01/2020 11:48 (1)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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