Home/CVE/Querybook is a Big Data Querying UI. When a user searches for their queries, datadocs, tables and lists, the search resu
CVE

CVE-2024-27103

Querybook is a Big Data Querying UI. When a user searches for their queries, datadocs, tables and lists, the search resu

Querybook is a Big Data Querying UI. When a user searches for their queries, datadocs, tables and lists, the search result is marked and highlighted, and this feature uses dangerouslySetInnerHTML which means that if the highlighted result has an XSS payload it will trigger. While the input to dangerouslySetInnerHTML is not sanitized for the data inside of queries which leads to an XSS vulnerability.

During the "query auto-suggestion" the name of the suggested tables are set with innerHTML which leads to the XSS vulnerability. A patch to rectify this issue has been introduced in Querybook version 3.31.2.

MEDIUM · CVSS 6.1 EPSS 0.00494
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  • No active-exploitation, high-EPSS, or public-exploit signals - routine patching cadence
Sigma rules0 YARA rules0

Scoring & Timeline

6.1
MEDIUM · CVSS v3.1 · security-advisories@github.com
View on NVD
Attack Vector
Network Adjacent Local Physical
Attack Complexity
Low High
Privileges Required
None Low High
User Interaction
None Required
Scope
Unchanged Changed
Confidentiality
None Low High
Integrity
None Low High
Availability
None Low High
Published to NVD28 Feb 2024 · 06:15 PM
CVSS VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
SSVC triage · cisa-vulnrichment
Exploitation
none
Automatable
no
Technical impact
partial
SSVC asks the questions that actually drive patch urgency: is it being exploited, can attacks be automated, and how total is the impact.
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References & Sources

2
Source URLs (vendor pages, mailing lists, write-ups). Exploit/PoC links are in their own section above to avoid duplication.
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