Apache Superset up to 1.5.2/2.0.0 SQL Alchemy Connector access control

| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.5 | $5k-$25k | 0.00 |
Summary
A vulnerability was found in Apache Superset up to 1.5.2/2.0.0. It has been classified as critical. This vulnerability affects unknown code of the component SQL Alchemy Connector. This manipulation causes access control. The identification of this vulnerability is CVE-2022-41703. There is no exploit available.
Details
A vulnerability was found in Apache Superset up to 1.5.2/2.0.0. It has been declared as critical. Affected by this vulnerability is an unknown code block of the component SQL Alchemy Connector. The manipulation with an unknown input leads to a access control vulnerability. The CWE definition for the vulnerability is CWE-284. The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
A vulnerability in the SQL Alchemy connector of Apache Superset allows an authenticated user with read access to a specific database to add subqueries to the WHERE and HAVING fields referencing tables on the same database that the user should not have access to, despite the user having the feature flag "ALLOW_ADHOC_SUBQUERY" disabled (default value). This issue affects Apache Superset version 1.5.2 and prior versions and version 2.0.0.
The weakness was shared 01/16/2023. It is possible to read the advisory at lists.apache.org. This vulnerability is known as CVE-2022-41703 since 09/28/2022. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 02/08/2023). The attack technique deployed by this issue is T1068 according to MITRE ATT&CK.
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
Vendor
Name
Version
License
Website
- Vendor: https://www.apache.org/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.5VulDB Meta Temp Score: 5.5
VulDB Base Score: 5.5
VulDB Temp Score: 5.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.4
NVD Vector: 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Access controlCWE: CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
09/28/2022 🔍01/16/2023 🔍
01/16/2023 🔍
02/08/2023 🔍
Sources
Vendor: apache.orgAdvisory: lists.apache.org
Status: Confirmed
CVE: CVE-2022-41703 (🔍)
GCVE (CVE): GCVE-0-2022-41703
GCVE (VulDB): GCVE-100-218419
Entry
Created: 01/16/2023 15:27Updated: 02/08/2023 01:43
Changes: 01/16/2023 15:27 (38), 02/08/2023 01:43 (9)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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