Radiator View Plugin up to 1.29 on Jenkins Stored cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Radiator View Plugin up to 1.29 on Jenkins. It has been rated as problematic. Affected by this vulnerability is an unknown functionality. The manipulation leads to cross site scripting (Stored). This vulnerability is referenced as CVE-2020-2263. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability was found in Radiator View Plugin up to 1.29 on Jenkins (Jenkins Plugin). It has been rated as problematic. This issue affects an unknown function. The manipulation with an unknown input leads to a cross site scripting vulnerability (Stored). Using CWE to declare the problem leads to CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. Impacted is integrity. The summary by CVE is:
Jenkins Radiator View Plugin 1.29 and earlier does not escape the full name of the jobs in tooltips, resulting in a stored cross-site scripting (XSS) vulnerability exploitable by attackers with Job/Configure permission.
The weakness was published 09/16/2020 (Website). It is possible to read the advisory at jenkins.io. The identification of this vulnerability is CVE-2020-2263 since 12/05/2019. The attack may be initiated remotely. The successful exploitation requires a simple authentication. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
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.
Product
Type
Name
Version
- 1.0
- 1.1
- 1.2
- 1.3
- 1.4
- 1.5
- 1.6
- 1.7
- 1.8
- 1.9
- 1.10
- 1.11
- 1.12
- 1.13
- 1.14
- 1.15
- 1.16
- 1.17
- 1.18
- 1.19
- 1.20
- 1.21
- 1.22
- 1.23
- 1.24
- 1.25
- 1.26
- 1.27
- 1.28
- 1.29
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.4VulDB Meta Temp Score: 4.4
VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.4
NVD Vector: 🔍
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Name: StoredClass: Cross site scripting / Stored
CWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
12/05/2019 🔍09/16/2020 🔍
09/16/2020 🔍
09/16/2020 🔍
Sources
Advisory: jenkins.ioStatus: Not defined
CVE: CVE-2020-2263 (🔍)
GCVE (CVE): GCVE-0-2020-2263
GCVE (VulDB): GCVE-100-161315
Entry
Created: 09/16/2020 21:16Updated: 09/16/2020 21:21
Changes: 09/16/2020 21:16 (37), 09/16/2020 21:21 (18)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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