XebiaLabs XL Release Plugin up to 22.0.0 on Jenkins cross-site request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in XebiaLabs XL Release Plugin up to 22.0.0 on Jenkins. The impacted element is an unknown function. Performing a manipulation results in cross-site request forgery. This vulnerability is reported as CVE-2022-34780. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability classified as problematic has been found in XebiaLabs XL Release Plugin up to 22.0.0 on Jenkins (Jenkins Plugin). This affects an unknown code. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. CWE is classifying the issue as CWE-352. The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. This is going to have an impact on integrity. The summary by CVE is:
A cross-site request forgery (CSRF) vulnerability in Jenkins XebiaLabs XL Release Plugin 22.0.0 and earlier allows attackers to connect to an attacker-specified HTTP server using attacker-specified credentials IDs obtained through another method, capturing credentials stored in Jenkins.
The weakness was disclosed 07/01/2022. It is possible to read the advisory at jenkins.io. This vulnerability is uniquely identified as CVE-2022-34780 since 06/29/2022. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.
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: 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 |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Cross-site request forgeryCWE: CWE-352 / CWE-862 / CWE-863
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 |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
06/29/2022 🔍07/01/2022 🔍
07/01/2022 🔍
07/17/2022 🔍
Sources
Advisory: jenkins.ioStatus: Confirmed
CVE: CVE-2022-34780 (🔍)
GCVE (CVE): GCVE-0-2022-34780
GCVE (VulDB): GCVE-100-203067
Entry
Created: 07/01/2022 14:24Updated: 07/17/2022 14:34
Changes: 07/01/2022 14:24 (38), 07/17/2022 14:34 (18)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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