Git Plugin up to 4.2.0 on Jenkins Error Message Stored cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.7 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Git Plugin up to 4.2.0 on Jenkins. This affects an unknown function of the component Error Message Handler. This manipulation causes cross site scripting (Stored). This vulnerability is tracked as CVE-2020-2136. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in Git Plugin up to 4.2.0 on Jenkins (Versioning Software). It has been declared as problematic. Affected by this vulnerability is some unknown functionality of the component Error Message Handler. The manipulation with an unknown input leads to a cross site scripting vulnerability (Stored). The CWE definition for the vulnerability is 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. As an impact it is known to affect integrity. The summary by CVE is:
Jenkins Git Plugin 4.2.0 and earlier does not escape the error message for the repository URL for Microsoft TFS field form validation, resulting in a stored cross-site scripting vulnerability.
The weakness was disclosed 03/09/2020 (oss-sec). It is possible to read the advisory at openwall.com. This vulnerability is known as CVE-2020-2136 since 12/05/2019. The attack can be launched remotely. A single authentication is required for exploitation. 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.
The entries VDB-151025, VDB-151026, VDB-151028 and VDB-151029 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.7VulDB Meta Temp Score: 4.7
VulDB Base Score: 4.1
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.4
NVD Vector: 🔍
CVSSv2
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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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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
12/05/2019 🔍03/09/2020 🔍
03/10/2020 🔍
03/10/2020 🔍
Sources
Advisory: openwall.comStatus: Not defined
Confirmation: 🔍
CVE: CVE-2020-2136 (🔍)
GCVE (CVE): GCVE-0-2020-2136
GCVE (VulDB): GCVE-100-151027
See also: 🔍
Entry
Created: 03/10/2020 07:41Updated: 03/10/2020 07:46
Changes: 03/10/2020 07:41 (40), 03/10/2020 07:46 (18)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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