Cross-tenant data compromise via aggregate SQL injection
Published Mar 12, 2026 · Updated Mar 12, 2026
SQL injection in OneUptime before 10.0.23 allows remote authenticated users to read and modify ClickHouse data via aggregate requests. StatementGenerator passes user-controlled aggregation types and column names to Statement.append(), which concatenates them into trusted SQL without validation or binding. Any registered user can reach the telemetry aggregate endpoints; exploitation crosses tenant boundaries and can alter data or execute commands through enabled ClickHouse table functions.
Summary
What happened
SQL injection in OneUptime before 10.0.23 allows remote authenticated users to read and modify ClickHouse data via aggregate requests. StatementGenerator passes user-controlled aggregation types and column names to Statement.append(), which concatenates them into trusted SQL without validation or binding. Any registered user can reach the telemetry aggregate endpoints; exploitation crosses tenant boundaries and can alter data or execute commands through enabled ClickHouse table functions.
The record
- CVE
- CVE-2026-32306
- Published
- Mar 12, 2026
- Updated
- Mar 12, 2026
- Vendor
- OneUptime
- Product
- OneUptime
- Classifications
- CWE-89, T1190
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Mar 12, 2026CVE publishedPublication date reported by the CVE source.
- Mar 12, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=< 10.0.23
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- Vendor aggregate-query SQL injection proof of conceptproof of concept · demonstrated
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Technologies
Your stack
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Your stack
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