FKIE_CVE-2026-44706

Vulnerability from fkie_nvd - Published: 2026-05-26 18:16 - Updated: 2026-05-26 19:37
Severity
8.5 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N
Summary
Chatwoot is a customer engagement suite. From 2.2.0 to before 4.11.2, a SQL injection vulnerability exists in the conversation and contact filter APIs. When filtering by a custom attribute of type date or number using the is_greater_than or is_less_than operators, user-supplied values in the values field of the filter payload are interpolated directly into the SQL query without parameterization. Any authenticated user with access to an account can exploit this to execute arbitrary SQL via time-based blind injection. This affects /api/v1/accounts/{account_id}/conversations/filter, /api/v1/accounts/{account_id}/contacts/filter, and /api/v1/accounts/{account_id}/custom_attribute_definitions. This vulnerability is fixed in 4.11.2.
References
security-advisories@github.comhttps://github.com/chatwoot/chatwoot/security/advisories/GHSA-9pgm-75gg-6948
Impacted products
Vendor Product Version
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{
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Chatwoot is a customer engagement suite. From 2.2.0 to before 4.11.2, a SQL injection vulnerability exists in the conversation and contact filter APIs. When filtering by a custom attribute of type date or number using the is_greater_than or is_less_than operators, user-supplied values in the values field of the filter payload are interpolated directly into the SQL query without parameterization. Any authenticated user with access to an account can exploit this to execute arbitrary SQL via time-based blind injection. This affects /api/v1/accounts/{account_id}/conversations/filter, /api/v1/accounts/{account_id}/contacts/filter, and /api/v1/accounts/{account_id}/custom_attribute_definitions. This vulnerability is fixed in 4.11.2."
    }
  ],
  "id": "CVE-2026-44706",
  "lastModified": "2026-05-26T19:37:00.120",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 8.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "LOW",
          "privilegesRequired": "LOW",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.1,
        "impactScore": 4.7,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ]
  },
  "published": "2026-05-26T18:16:50.607",
  "references": [
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/chatwoot/chatwoot/security/advisories/GHSA-9pgm-75gg-6948"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Primary"
    }
  ]
}


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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.

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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