Querybook up to 3.31.0 Rich Text Editor cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.1 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Querybook up to 3.31.0. It has been rated as problematic. This vulnerability affects unknown code of the component Rich Text Editor. Performing a manipulation results in cross site scripting. This vulnerability is cataloged as CVE-2024-26148. 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 Querybook up to 3.31.0. It has been classified as problematic. This affects an unknown function of the component Rich Text Editor. The manipulation with an unknown input leads to a cross site scripting vulnerability. CWE is classifying the issue as CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. This is going to have an impact on integrity. The summary by CVE is:
Querybook is a user interface for querying big data. Prior to version 3.31.1, there is a vulnerability in Querybook's rich text editor that enables users to input arbitrary URLs without undergoing necessary validation. This particular security flaw allows the use of `javascript:` protocol which can potentially trigger arbitrary client-side execution. The most extreme exploit of this flaw could occur when an admin user unknowingly clicks on a cross-site scripting URL, thereby unintentionally compromising admin role access to the attacker. A patch to rectify this issue has been introduced in Querybook version `3.31.1`. The fix is backward compatible and automatically fixes existing DataDocs. There are no known workarounds for this issue, except for manually checking each URL prior to clicking on them.
The weakness was shared 02/22/2024 as GHSA-fh6g-gvvp-587f. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2024-26148 since 02/14/2024. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
Upgrading to version 3.31.1 eliminates this vulnerability. Applying the patch bc620dabaaf13ff1dcb30af0b46a490403fb9908 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
- 3.0
- 3.1
- 3.2
- 3.3
- 3.4
- 3.5
- 3.6
- 3.7
- 3.8
- 3.9
- 3.10
- 3.11
- 3.12
- 3.13
- 3.14
- 3.15
- 3.16
- 3.17
- 3.18
- 3.19
- 3.20
- 3.21
- 3.22
- 3.23
- 3.24
- 3.25
- 3.26
- 3.27
- 3.28
- 3.29
- 3.30
- 3.31.0
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.2VulDB Meta Temp Score: 5.1
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 6.1
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
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: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: Querybook 3.31.1
Patch: bc620dabaaf13ff1dcb30af0b46a490403fb9908
Timeline
02/14/2024 🔍02/22/2024 🔍
02/22/2024 🔍
02/22/2024 🔍
Sources
Advisory: GHSA-fh6g-gvvp-587fStatus: Confirmed
CVE: CVE-2024-26148 (🔍)
GCVE (CVE): GCVE-0-2024-26148
GCVE (VulDB): GCVE-100-254499
Entry
Created: 02/22/2024 08:19Changes: 02/22/2024 08:19 (52)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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