LHMelting up to 1.65.3.6 DLL Loader untrusted search path

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.5$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in LHMelting up to 1.65.3.6. Impacted is an unknown function of the component DLL Loader. The manipulation leads to untrusted search path. This vulnerability is listed as CVE-2019-5913. The attack must be carried out locally. There is no available exploit.

Detailsinfo

A vulnerability was found in LHMelting up to 1.65.3.6 and classified as problematic. This issue affects an unknown code of the component DLL Loader. The manipulation with an unknown input leads to a untrusted search path vulnerability. Using CWE to declare the problem leads to CWE-426. The product searches for critical resources using an externally-supplied search path that can point to resources that are not under the product's direct control. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

Untrusted search path vulnerability in the installer of LHMelting (LHMelting for Win32 Ver 1.65.3.6 and earlier) allows an attacker to gain privileges via a Trojan horse DLL in an unspecified directory.

The bug was discovered 01/31/2019. The weakness was presented 02/13/2019 (Website). It is possible to read the advisory at jvn.jp. The identification of this vulnerability is CVE-2019-5913 since 01/10/2019. Attacking locally is a requirement. A simple authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1574 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 13 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.

See VDB-130881 and VDB-130882 for similar entries. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.5
VulDB Meta Temp Score: 6.5

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
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: Untrusted search path
CWE: CWE-426
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
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

01/10/2019 🔍
01/31/2019 +21 days 🔍
02/13/2019 +13 days 🔍
02/14/2019 +1 days 🔍
05/10/2020 +451 days 🔍

Sourcesinfo

Advisory: jvn.jp
Status: Not defined

CVE: CVE-2019-5913 (🔍)
GCVE (CVE): GCVE-0-2019-5913
GCVE (VulDB): GCVE-100-130883
See also: 🔍

Entryinfo

Created: 02/14/2019 11:35
Updated: 05/10/2020 15:57
Changes: 02/14/2019 11:35 (55), 05/10/2020 15:57 (2)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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