FKIE_CVE-2026-32306

Vulnerability from fkie_nvd - Published: 2026-03-13 19:54 - Updated: 2026-03-17 20:08
Severity ?
9.9 (Critical) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
Summary
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.
References
security-advisories@github.comhttps://github.com/OneUptime/oneuptime/security/advisories/GHSA-p5g2-jm85-8g35Exploit, Mitigation, Vendor Advisory
Impacted products
Vendor Product Version
hackerbay oneuptime *
To clipboard 

{
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:hackerbay:oneuptime:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "AF2F89C2-1AB8-4611-9B0B-A4CFA02C807E",
              "versionEndExcluding": "10.0.23",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "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."
    },
    {
      "lang": "es",
      "value": "OneUptime es una soluci\u00f3n para monitorear y gestionar servicios en l\u00ednea. Antes de la 10.0.23, la API de agregaci\u00f3n de telemetr\u00eda acepta los par\u00e1metros controlados por el usuario aggregationType, aggregateColumnName y aggregationTimestampColumnName y los interpola directamente en las consultas SQL de ClickHouse a trav\u00e9s del m\u00e9todo .append() (documentado como \u0027SQL de confianza\u0027). No hay lista blanca, no hay enlace de consulta parametrizada y no hay validaci\u00f3n de entrada. Un usuario autenticado puede inyectar SQL arbitrario en ClickHouse, lo que permite la lectura completa de la base de datos (incluidos los datos de telemetr\u00eda de todos los inquilinos), la modificaci\u00f3n de datos y la potencial ejecuci\u00f3n remota de c\u00f3digo a trav\u00e9s de funciones de tabla de ClickHouse. Esta vulnerabilidad est\u00e1 corregida en la 10.0.23."
    }
  ],
  "id": "CVE-2026-32306",
  "lastModified": "2026-03-17T20:08:56.733",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.9,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.1,
        "impactScore": 6.0,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ]
  },
  "published": "2026-03-13T19:54:42.000",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Exploit",
        "Mitigation",
        "Vendor Advisory"
      ],
      "url": "https://github.com/OneUptime/oneuptime/security/advisories/GHSA-p5g2-jm85-8g35"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Primary"
    }
  ]
}


Log in or create an account to share your comment.




Tags
Taxonomy of the tags.




Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



Detection rules are retrieved from Rulezet.