FKIE_CVE-2022-38766

Vulnerability from fkie_nvd - Published: 2023-01-03 15:15 - Updated: 2025-04-10 16:15
Summary
The remote keyless system on Renault ZOE 2021 vehicles sends 433.92 MHz RF signals from the same Rolling Codes set for each door-open request, which allows for a replay attack.
Impacted products
Vendor Product Version
renault zoe_e-tech_firmware 2021
renault zoe_e-tech -

{
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:o:renault:zoe_e-tech_firmware:2021:*:*:*:*:*:*:*",
              "matchCriteriaId": "E10D7D82-932C-4691-82A4-83D934024E6F",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        },
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:h:renault:zoe_e-tech:-:*:*:*:*:*:*:*",
              "matchCriteriaId": "9FBB1594-82E9-4592-B4D3-847FDAA1E433",
              "vulnerable": false
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ],
      "operator": "AND"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The remote keyless system on Renault ZOE 2021 vehicles sends 433.92 MHz RF signals from the same Rolling Codes set for each door-open request, which allows for a replay attack."
    },
    {
      "lang": "es",
      "value": "El sistema remoto sin llave de los veh\u00edculos Renault ZOE 2021 env\u00eda se\u00f1ales RF de 433,92 MHz desde los mismos Rolling Codes configurados para cada solicitud de apertura de puerta, lo que permite un ataque de repetici\u00f3n."
    }
  ],
  "id": "CVE-2022-38766",
  "lastModified": "2025-04-10T16:15:21.550",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "ADJACENT_NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.1,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.2,
        "source": "nvd@nist.gov",
        "type": "Primary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "ADJACENT_NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.1,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.2,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ]
  },
  "published": "2023-01-03T15:15:10.423",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://github.com/AUTOCRYPT-IVS-VnV/CVE-2022-38766"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://github.com/AUTOCRYPT-IVS-VnV/CVE-2022-38766"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-294"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-294"
        }
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "type": "Secondary"
    }
  ]
}


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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.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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