Lobby Track Desktop credentials management

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
6.5$0-$5k0.00

Summaryinfo

A vulnerability has been found in Lobby Track Desktop and classified as critical. This issue affects some unknown processing. Performing a manipulation results in credentials management. This vulnerability was named CVE-2018-17485. The attack needs to be approached locally. There is no available exploit.

Detailsinfo

A vulnerability was found in Lobby Track Desktop (the affected version unknown). It has been classified as critical. This affects an unknown part. The manipulation with an unknown input leads to a credentials management vulnerability. CWE is classifying the issue as CWE-255. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Lobby Track Desktop contains default administrative credentials. An attacker could exploit this vulnerability to gain full access to the application.

The bug was discovered 03/04/2019. The weakness was presented 03/21/2019 (Website). It is possible to read the advisory at exchange.xforce.ibmcloud.com. This vulnerability is uniquely identified as CVE-2018-17485 since 09/25/2018. Attacking locally is a requirement. No form of 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 T1552 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 17 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-131886, VDB-131885, VDB-131884 and VDB-131882 for similar entries. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

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: Credentials management
CWE: CWE-255
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

09/25/2018 🔍
03/04/2019 +160 days 🔍
03/21/2019 +17 days 🔍
03/22/2019 +1 days 🔍
08/03/2023 +1595 days 🔍

Sourcesinfo

Advisory: exchange.xforce.ibmcloud.com
Status: Not defined

CVE: CVE-2018-17485 (🔍)
GCVE (CVE): GCVE-0-2018-17485
GCVE (VulDB): GCVE-100-131883
X-Force: 149645

See also: 🔍

Entryinfo

Created: 03/22/2019 06:57
Updated: 08/03/2023 09:18
Changes: 03/22/2019 06:57 (54), 05/17/2020 16:47 (1), 08/03/2023 09:18 (3)
Complete: 🔍
Cache ID: 216::103

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

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