VMware vRealize Automation Plugin on Jenkins config.xml Credentials credentials management
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.5 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in VMware vRealize Automation Plugin on Jenkins. Impacted is an unknown function of the file config.xml. The manipulation leads to credentials management (Credentials). This vulnerability is referenced as CVE-2019-1003068. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability, which was classified as problematic, has been found in VMware vRealize Automation Plugin on Jenkins (Automation Software) (affected version not known). This issue affects some unknown functionality of the file config.xml. The manipulation with an unknown input leads to a credentials management vulnerability (Credentials). Using CWE to declare the problem leads to CWE-255. Impacted is confidentiality. The summary by CVE is:
Jenkins VMware vRealize Automation Plugin stores credentials unencrypted in job config.xml files on the Jenkins master where they can be viewed by users with Extended Read permission, or access to the master file system.
The bug was discovered 04/03/2019. The weakness was published 04/04/2019 (Website). It is possible to read the advisory at securityfocus.com. The identification of this vulnerability is CVE-2019-1003068 since 04/03/2019. The exploitation is known to be easy. The attack may be initiated remotely. A simple authentication is required for exploitation. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1552 according to MITRE ATT&CK.
The vulnerability was handled as a non-public zero-day exploit for at least 1 days. During that time the estimated underground price was around $0-$5k. 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.
Similar entries are available at VDB-132978, VDB-132979, VDB-132980 and VDB-132981. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.6VulDB Meta Temp Score: 6.6
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
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: Credentials management / Credentials
CWE: CWE-255
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
04/03/2019 🔍04/03/2019 🔍
04/04/2019 🔍
04/05/2019 🔍
08/25/2023 🔍
Sources
Advisory: securityfocus.com⛔Status: Not defined
Confirmation: 🔍
CVE: CVE-2019-1003068 (🔍)
GCVE (CVE): GCVE-0-2019-1003068
GCVE (VulDB): GCVE-100-132995
SecurityFocus: 107790
See also: 🔍
Entry
Created: 04/05/2019 07:24Updated: 08/25/2023 12:33
Changes: 04/05/2019 07:24 (56), 06/23/2020 09:10 (3), 08/25/2023 12:33 (3)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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