FKIE_CVE-2022-39219

Vulnerability from fkie_nvd - Published: 2022-09-26 14:15 - Updated: 2024-11-21 07:17
Summary
Bifrost is a middleware package which can synchronize MySQL/MariaDB binlog data to other types of databases. Versions 1.8.6-release and prior are vulnerable to authentication bypass when using HTTP basic authentication. This may allow group members who only have read permissions to write requests when they are normally forbidden from doing so. Version 1.8.7-release contains a patch. There are currently no known workarounds.
Impacted products
Vendor Product Version
xbifrost bifrost *

{
  "configurations": [
    {
      "nodes": [
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            {
              "criteria": "cpe:2.3:a:xbifrost:bifrost:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "C47A4A94-E5D1-47EA-B392-AAFFABF044EC",
              "versionEndExcluding": "1.8.7",
              "vulnerable": true
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          "operator": "OR"
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  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Bifrost is a middleware package which can synchronize MySQL/MariaDB binlog data to other types of databases. Versions 1.8.6-release and prior are vulnerable to authentication bypass when using HTTP basic authentication. This may allow group members who only have read permissions to write requests when they are normally forbidden from doing so. Version 1.8.7-release contains a patch. There are currently no known workarounds."
    },
    {
      "lang": "es",
      "value": "Bifrost es un paquete de middleware que puede sincronizar los datos binlog de MySQL/MariaDB con otros tipos de bases de datos. Las versiones 1.8.6-release y anteriores son vulnerables a una omisi\u00f3n de la autenticaci\u00f3n cuando es usada la autenticaci\u00f3n b\u00e1sica HTTP. Esto puede permitir a miembros del grupo que s\u00f3lo presentan permisos de lectura escribir peticiones cuando est\u00e1 normalmente prohibido hacerlo. La versi\u00f3n 1.8.7-release contiene un parche. Actualmente no se presentan mitigaciones conocidas.\n"
    }
  ],
  "id": "CVE-2022-39219",
  "lastModified": "2024-11-21T07:17:48.827",
  "metrics": {
    "cvssMetricV31": [
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        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "LOW",
          "baseScore": 8.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:N/I:H/A:L",
          "version": "3.1"
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        "type": "Secondary"
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          "attackVector": "NETWORK",
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          "baseScore": 6.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N",
          "version": "3.1"
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        "exploitabilityScore": 2.8,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
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  "published": "2022-09-26T14:15:10.180",
  "references": [
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      "source": "security-advisories@github.com",
      "tags": [
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        "Issue Tracking",
        "Third Party Advisory"
      ],
      "url": "https://github.com/brokercap/Bifrost/issues/200"
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      "tags": [
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      "tags": [
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    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Third Party Advisory"
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      "url": "https://github.com/brokercap/Bifrost/security/advisories/GHSA-p6fh-xc6r-g5hw"
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  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-287"
        }
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      "source": "security-advisories@github.com",
      "type": "Secondary"
    },
    {
      "description": [
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          "lang": "en",
          "value": "CWE-287"
        }
      ],
      "source": "nvd@nist.gov",
      "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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