Violation Comments to GitLab Plugin up to 2.28 on Jenkins config.xml Credentials cleartext storage
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Violation Comments to GitLab Plugin up to 2.28 on Jenkins. It has been classified as problematic. The affected element is an unknown function of the file config.xml. Performing a manipulation results in cleartext storage (Credentials). This vulnerability was named CVE-2019-10416. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability, which was classified as problematic, was found in Violation Comments to GitLab Plugin up to 2.28 on Jenkins (Bug Tracking Software). This affects an unknown code block of the file config.xml. The manipulation with an unknown input leads to a cleartext storage vulnerability (Credentials). CWE is classifying the issue as CWE-312. The product stores sensitive information in cleartext within a resource that might be accessible to another control sphere. This is going to have an impact on confidentiality. The summary by CVE is:
Jenkins Violation Comments to GitLab Plugin 2.28 and earlier stored credentials unencrypted in job config.xml files on the Jenkins master where they could be viewed by users with Extended Read permission, or access to the master file system.
The weakness was presented 09/25/2019 (oss-sec). It is possible to read the advisory at openwall.com. This vulnerability is uniquely identified as CVE-2019-10416 since 03/29/2019. It is possible to initiate the attack remotely. The requirement for exploitation is a authentication. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1555 according to MITRE ATT&CK.
By approaching the search of inurl:config.xml it is possible to find vulnerable targets with Google Hacking.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
See VDB-142188, VDB-142189, VDB-142190 and VDB-142191 for similar entries. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
- 2.0
- 2.1
- 2.2
- 2.3
- 2.4
- 2.5
- 2.6
- 2.7
- 2.8
- 2.9
- 2.10
- 2.11
- 2.12
- 2.13
- 2.14
- 2.15
- 2.16
- 2.17
- 2.18
- 2.19
- 2.20
- 2.21
- 2.22
- 2.23
- 2.24
- 2.25
- 2.26
- 2.27
- 2.28
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.4
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Name: CredentialsClass: Cleartext storage / Credentials
CWE: CWE-312 / CWE-310
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
Google Hack: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
03/29/2019 🔍09/25/2019 🔍
09/26/2019 🔍
09/08/2020 🔍
Sources
Advisory: openwall.comStatus: Not defined
Confirmation: 🔍
CVE: CVE-2019-10416 (🔍)
GCVE (CVE): GCVE-0-2019-10416
GCVE (VulDB): GCVE-100-142203
See also: 🔍
Entry
Created: 09/26/2019 08:31Updated: 09/08/2020 08:08
Changes: 09/26/2019 08:31 (41), 09/08/2020 08:08 (18)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
No comments yet. Languages: en.
Please log in to comment.