CVE-2026-32306

March 13, 2026, 7:54 p.m.

9.9
Critical

Description

OneUptime is a solution for monitoring and managing online services. Prior to 10.0.23, the telemetry aggregation API accepts user-controlled aggregationType, aggregateColumnName, and aggregationTimestampColumnName parameters and interpolates them directly into ClickHouse SQL queries via the .append() method (documented as "trusted SQL"). There is no allowlist, no parameterized query binding, and no input validation. An authenticated user can inject arbitrary SQL into ClickHouse, enabling full database read (including telemetry data from all tenants), data modification, and potential remote code execution via ClickHouse table functions. This vulnerability is fixed in 10.0.23.

Product(s) Impacted

Vendor Product Versions
Oneuptime
  • Oneuptime
  • <10.0.23

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-89
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a oneuptime oneuptime <10.0.23 / / / / / / /

CVSS Score

9.9 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

    View Vector String

Timeline

Published: March 13, 2026, 7:54 p.m.
Last Modified: March 13, 2026, 7:54 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.