CVE-2024-27103
Querybook Stored Cross-Site Scripting allows Privilege Elevation
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.
Attack profile
How easy it is to exploit
- Attack vector
- Network
- Complexity
- Low
- Privileges needed
- None
- User interaction
- Required
What an attacker can affect
- Confidentiality
- Low
- Integrity
- Low
- Availability
- None
Exploit likelihood
What each source reports
CVE List Score used
Querybook Stored Cross-Site Scripting allows Privilege Elevation
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.
- Record
CVE-2024-27103- CVSS 3.1
- 6.1 Medium
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N - Weakness
- CWE-79
- Updated
- 2026-11-02
EUVDEUVD-2024-24353
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.
- Record
EUVD-2024-24353- CVSS 3.1
- 6.1 Medium
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N - Updated
- 2026-11-03
NVD
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.
- Record
CVE-2024-27103- CVSS 3.1
- 6.1 Medium
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N - Weakness
- CWE-79
- Updated
- 2026-11-02
OSV
Querybook Stored Cross-Site Scripting allows Privilege Elevation
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.
- Record
CVE-2024-27103- CVSS 3.1
- 6.1 Medium
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N - Weakness
- CWE-79
- Updated
- 2026-11-02
Affected products
History
| Recorded | Changed | Sources |
|---|---|---|
| aliases, published | EUVD | |
| first indexed | CVE List, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2024-27103 is a medium vulnerability (CVSS 6.1) in Pinterest Querybook, published February 28, 2024. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.36%, the 29th percentile. No source names a fixed version.