CVE intelligence and bounded remediation
CVE-2024-27103 — Querybook is a Big Data Querying UI
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.
- Severity
- Medium
- CVSS
- 6.1 (3.1)
- Published
- 2024-02-28
- CISA KEV
- Not currently listed
- Ecosystem
- software/application
- Weaknesses
- CWE-79
Affected products
- pinterest / querybook
Matched remediation archetype
Cross-site scripting and unsafe browser output
This catalog composition supplies bounded fallback guidance. Explicitly reviewed curated workflows load with the complete record below.
Check exposure
- Trace reflected, stored, and DOM-derived untrusted values into HTML, attributes, URLs, styles, scripts, and client-side template sinks.
- Identify affected origins, authenticated user roles, sensitive browser capabilities, and where content is shared across tenants.
- Review framework escaping, rich-text sanitization, legacy templates, and client-side rendering paths.
Remediate safely
- Use context-aware framework output encoding and safe DOM APIs; keep untrusted data out of executable contexts.
- Sanitize intentionally supported markup with a maintained allowlist policy and validate URLs and attributes separately.
- Update affected rendering components and add tests for every output context using inert sentinel markup.
Authoritative sources
Complete CVE record and remediation plan
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