AWS CodeCommit Trigger Plugin up to 3.0.12 on Jenkins Error Message queue name cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.8 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in AWS CodeCommit Trigger Plugin up to 3.0.12 on Jenkins and classified as problematic. This vulnerability affects unknown code of the component Error Message Handler. This manipulation of the argument queue name causes cross site scripting. This vulnerability is handled as CVE-2023-41944. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in AWS CodeCommit Trigger Plugin up to 3.0.12 on Jenkins (Jenkins Plugin). It has been declared as problematic. Affected by this vulnerability is an unknown part of the component Error Message Handler. The manipulation of the argument queue name with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is CWE-80. The product receives input from an upstream component, but it does not neutralize or incorrectly neutralizes special characters such as "<", ">", and "&" that could be interpreted as web-scripting elements when they are sent to a downstream component that processes web pages. As an impact it is known to affect integrity. The summary by CVE is:
Jenkins AWS CodeCommit Trigger Plugin 3.0.12 and earlier does not escape the queue name parameter passed to a form validation URL, when rendering an error message, resulting in an HTML injection vulnerability.
The weakness was released 09/06/2023. It is possible to read the advisory at jenkins.io. This vulnerability is known as CVE-2023-41944 since 09/05/2023. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. 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
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.8VulDB Meta Temp Score: 4.8
VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.1
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-80 / CWE-74 / CWE-707
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 Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
09/05/2023 🔍09/06/2023 🔍
09/06/2023 🔍
10/02/2023 🔍
Sources
Advisory: jenkins.ioStatus: Confirmed
CVE: CVE-2023-41944 (🔍)
GCVE (CVE): GCVE-0-2023-41944
GCVE (VulDB): GCVE-100-239011
Entry
Created: 09/06/2023 16:05Updated: 10/02/2023 11:36
Changes: 09/06/2023 16:05 (40), 10/02/2023 11:36 (11)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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