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FKIE_CVE-2021-22275

Vulnerability from fkie_nvd - Published: 2022-05-13 15:15 - Updated: 2026-06-17 03:36
Summary
Buffer Overflow vulnerability in B&R Automation Runtime webserver allows an unauthenticated network-based attacker to stop the cyclic program on the device and cause a denial of service.
Impacted products
Vendor Product Version
br-automation automation_runtime *

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "Automation Runtime webserver",
          "vendor": "B\u0026R Automation",
          "versions": [
            {
              "lessThan": "4.91",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "source": "cybersecurity@ch.abb.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:br-automation:automation_runtime:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "D2BDE298-669C-4AFA-AAE1-E8568D3CEBD1",
              "versionEndExcluding": "4.91",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Buffer Overflow vulnerability in B\u0026R Automation Runtime webserver allows an unauthenticated network-based attacker to stop the cyclic program on the device and cause a denial of service."
    },
    {
      "lang": "es",
      "value": "Una vulnerabilidad de desbordamiento del b\u00fafer en el servidor web de B\u0026amp;R Automation Runtime permite a un atacante no autenticado basado en la red detener el programa c\u00edclico en el dispositivo y causar una denegaci\u00f3n de servicio"
    }
  ],
  "id": "CVE-2021-22275",
  "lastModified": "2026-06-17T03:36:55.090",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "HIGH",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "COMPLETE",
          "baseScore": 7.8,
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:C",
          "version": "2.0"
        },
        "exploitabilityScore": 10.0,
        "impactScore": 6.9,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.6,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 4.0,
        "source": "cybersecurity@ch.abb.com",
        "type": "Secondary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.6,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 4.0,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2022-05-13T15:15:08.130",
  "references": [
    {
      "source": "cybersecurity@ch.abb.com",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://www.br-automation.com/downloads_br_productcatalogue/assets/1625405588264-en-original-1.0.pdf"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://www.br-automation.com/downloads_br_productcatalogue/assets/1625405588264-en-original-1.0.pdf"
    }
  ],
  "sourceIdentifier": "cybersecurity@ch.abb.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-120"
        }
      ],
      "source": "cybersecurity@ch.abb.com",
      "type": "Secondary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-120"
        }
      ],
      "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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