Atlassian Crowd up to 3.1.1 crowd-application improper authentication
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.6 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Atlassian Crowd up to 3.1.1. It has been rated as critical. The affected element is an unknown function of the component crowd-application. The manipulation leads to improper authentication. This vulnerability is traded as CVE-2017-16858. It is possible to initiate the attack remotely. There is no exploit available. Upgrading the affected component is advised.
Details
A vulnerability was found in Atlassian Crowd up to 3.1.1. It has been rated as critical. This issue affects an unknown function of the component crowd-application. The manipulation with an unknown input leads to a improper authentication vulnerability. Using CWE to declare the problem leads to CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
The 'crowd-application' plugin module (notably used by the Google Apps plugin) in Atlassian Crowd from version 1.5.0 before version 3.1.2 allowed an attacker to impersonate a Crowd user in REST requests by being able to authenticate to a directory bound to an application using the feature. Given the following situation: the Crowd application is bound to directory 1 and has a user called admin and the Google Apps application is bound to directory 2, which also has a user called admin, it was possible to authenticate REST requests using the credentials of the user coming from directory 2 and impersonate the user from directory 1.
The bug was discovered 12/12/2017. The weakness was shared 01/31/2018 (Website). It is possible to read the advisory at jira.atlassian.com. The identification of this vulnerability is CVE-2017-16858 since 11/16/2017. The attack may be initiated remotely. The successful exploitation requires a simple authentication. The technical details are unknown and an exploit is not publicly available.
The vulnerability was handled as a non-public zero-day exploit for at least 50 days. During that time the estimated underground price was around $0-$5k.
Upgrading to version 3.1.2 eliminates this vulnerability.
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Product
Vendor
Name
Version
License
Website
- Vendor: https://www.atlassian.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.9VulDB Meta Temp Score: 5.8
VulDB Base Score: 5.0
VulDB Temp Score: 4.8
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.8
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
Class: Improper authenticationCWE: CWE-287
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: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: Crowd 3.1.2
Timeline
11/16/2017 🔍12/12/2017 🔍
01/31/2018 🔍
01/31/2018 🔍
02/01/2018 🔍
12/31/2019 🔍
Sources
Vendor: atlassian.comAdvisory: jira.atlassian.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2017-16858 (🔍)
GCVE (CVE): GCVE-0-2017-16858
GCVE (VulDB): GCVE-100-112679
Entry
Created: 02/01/2018 07:56Updated: 12/31/2019 15:47
Changes: 02/01/2018 07:56 (59), 12/31/2019 15:47 (2)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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