OneUptime ClickHouse vulnerable to SQL Injection via unvalidated column identifiers in sort, select, and groupBy parameters
The fix for GHSA-p5g2-jm85-8g35 (ClickHouse SQL injection via aggregate query parameters) added column name validation to the _aggregateBy method but did not apply the same validation to three other query construction paths in StatementGenerator. The toSortStatement, toSelectStatement, and toGroupByStatement methods accept user-controlled object keys from API request bodies and interpolate them as ClickHouse Identifier parameters without verifying they correspond to actual model columns.
ClickHouse Identifier parameters are substituted directly into queries without escaping, so an attacker who can reach any analytics list or aggregate endpoint can inject arbitrary SQL through crafted sort, select, or groupBy keys.
Details
Root cause
StatementGenerator.ts has four methods that iterate over user-provided object keys to build SQL:
| Method | Validates keys? |
|---|---|
toWhereStatement (line 292) |
Yes - calls this.model.getTableColumn(key) |
toSortStatement (line 467) |
No |
toSelectStatement (line 483) |
No |
toGroupByStatement (line 451) |
No |
In Statement.ts, when a value passed to the SQL tagged template is a string, it receives the Identifier data type (line 40). Per ClickHouse documentation, Identifier parameters are substituted directly into the query without quoting or escaping. This is correct for trusted column names but unsafe for user input.
Input flow
BaseAnalyticsAPI.ts deserializes sort, select, and groupBy directly from req.body (lines 239-253) and passes them to the service layer without column validation:
sort = JSONFunctions.deserialize(req.body["sort"]) as Sort<AnalyticsDataModel>;
select = JSONFunctions.deserialize(req.body["select"]) as Select<AnalyticsDataModel>;
groupBy = JSONFunctions.deserialize(req.body["groupBy"]) as GroupBy<AnalyticsDataModel>;
Affected endpoints
Any endpoint backed by BaseAnalyticsAPI.getList() or BaseAnalyticsAPI.getAggregate() - this includes analytics queries for logs, metrics, spans, and exceptions.
Impact
An authenticated user can inject arbitrary ClickHouse SQL through crafted column names in sort, select, or groupBy request parameters. This allows reading, modifying, or deleting analytics data (logs, metrics, traces) stored in ClickHouse. PostgreSQL data is not affected (separate query path).
Suggested Fix
Add the same getTableColumn() validation already present in toWhereStatement to the three unvalidated methods:
// toSortStatement, toSelectStatement, toGroupByStatement
for (const key in sort) {
if (!this.model.getTableColumn(key)) {
throw new BadDataException(`Unknown column: ${key}`);
}
// existing logic
}
This matches the pattern used in the GHSA-p5g2 fix for _aggregateBy and the existing toWhereStatement validation.
Czego dotyczy
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| Platforma | Paczka | Podatne wersje | Poprawka w wersji |
|---|---|---|---|
| Paczka npm | oneuptime | < 10.0.34 | 10.0.34 |
Odnośniki
- Wektor CVSS
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N- Słabość (CWE)
CWE-89- Platforma
- npm
- Paczka
oneuptime- Ujawniono
- 18.03.2026
- Aktualizacja
- 11.10.2026 10:22
Źródła i licencje
OSV / GitHub Advisory Database - GHSA-gcg3-c5p2-cqgg - CC BY 4.0
Historia podatności: oneuptime
Wszystkie opisane podatności tej paczki (Paczka npm), od najnowszej. Widać, czy to jednorazowa wpadka, czy paczka, której trzeba pilnować.
- Wszystkich wpisów
- 5
- Pierwsza → ostatnia
- 03.2026 03.2026
- Bez poprawki
- 0
- Wykorzystywana w atakach
- 0
Rozkład istotności
- Krytyczna 1
- Wysoka 3
- Średnia 1
Ujawnienia w latach
- 2026: 5
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OneUptime ClickHouse vulnerable to SQL Injection via unvalidated column identifiers in sort, select, and groupBy parameters ten wpis
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