jupyterhub-kubespawner up to 0.11 Default Server Username authorization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.2 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in jupyterhub-kubespawner up to 0.11. This affects an unknown function of the component Default Server Handler. The manipulation as part of Username leads to authorization. This vulnerability is documented as CVE-2020-15110. The attack can be initiated remotely. There is not any exploit available. It is suggested to upgrade the affected component.
Details
A vulnerability, which was classified as critical, has been found in jupyterhub-kubespawner up to 0.11. This issue affects an unknown code of the component Default Server Handler. The manipulation as part of a Username leads to a authorization vulnerability. Using CWE to declare the problem leads to CWE-863. The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
In jupyterhub-kubespawner before 0.12, certain usernames will be able to craft particular server names which will grant them access to the default server of other users who have matching usernames. This has been fixed in 0.12.
The weakness was released 07/17/2020 (GitHub Repository). It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2020-15110 since 06/25/2020. The exploitation is known to be difficult. The attack may be initiated remotely. A simple authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available.
Upgrading to version 0.12 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.9VulDB Meta Temp Score: 5.6
VulDB Base Score: 5.0
VulDB Temp Score: 4.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: AuthorizationCWE: CWE-863 / CWE-285 / CWE-266
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: jupyterhub-kubespawner 0.12
Timeline
06/25/2020 🔍07/17/2020 🔍
07/19/2020 🔍
11/04/2020 🔍
Sources
Advisory: github.comStatus: Not defined
Confirmation: 🔍
CVE: CVE-2020-15110 (🔍)
GCVE (CVE): GCVE-0-2020-15110
GCVE (VulDB): GCVE-100-158771
Entry
Created: 07/19/2020 11:38Updated: 11/04/2020 16:42
Changes: 07/19/2020 11:38 (39), 07/19/2020 11:43 (11), 11/04/2020 16:33 (1), 11/04/2020 16:42 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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