Agiletestware Pangolin Connector for TestRail Plugin up to 2.1 on Jenkins GlobalConfig.java HTTP Requests access control

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 (≈)
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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.
6.4$0-$5k0.00

Summaryinfo

A vulnerability was found in Agiletestware Pangolin Connector for TestRail Plugin up to 2.1 on Jenkins. It has been rated as critical. Affected by this vulnerability is an unknown functionality of the file GlobalConfig.java. The manipulation as part of HTTP Requests leads to access control. This vulnerability is uniquely identified as CVE-2018-1999032. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in Agiletestware Pangolin Connector for TestRail Plugin up to 2.1 on Jenkins (Jenkins Plugin). It has been rated as critical. This issue affects an unknown function of the file GlobalConfig.java. The manipulation as part of a HTTP Requests leads to a access control vulnerability. Using CWE to declare the problem leads to CWE-264. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

A data modification vulnerability exists in Jenkins Agiletestware Pangolin Connector for TestRail Plugin 2.1 and earlier in GlobalConfig.java that allows attackers with Overall/Read permission to override this plugin's configuration by sending crafted HTTP requests to an unprotected endpoint.

The bug was discovered 07/30/2018. The weakness was disclosed 08/01/2018 (Website). It is possible to read the advisory at jenkins.io. The identification of this vulnerability is CVE-2018-1999032 since 08/01/2018. The exploitation is known to be easy. The attack may be initiated remotely. The successful exploitation requires a simple authentication. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1068 according to MITRE ATT&CK.

The vulnerability was handled as a non-public zero-day exploit for at least 2 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.

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

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.4

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

NVD Base Score: 6.5
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: Access control
CWE: CWE-264
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

07/30/2018 🔍
08/01/2018 +1 days 🔍
08/01/2018 +0 days 🔍
08/01/2018 +0 days 🔍
08/02/2018 +1 days 🔍
03/12/2020 +588 days 🔍

Sourcesinfo

Advisory: jenkins.io
Status: Not defined
Confirmation: 🔍

CVE: CVE-2018-1999032 (🔍)
GCVE (CVE): GCVE-0-2018-1999032
GCVE (VulDB): GCVE-100-122507

Entryinfo

Created: 08/02/2018 07:53
Updated: 03/12/2020 15:43
Changes: 08/02/2018 07:53 (59), 03/12/2020 15:43 (2)
Complete: 🔍
Cache ID: 216::103

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

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