FKIE_CVE-2022-3691

Vulnerability from fkie_nvd - Published: 2022-11-21 11:15 - Updated: 2025-04-30 16:15
Severity
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Summary
The DeepL Pro API translation plugin WordPress plugin before 1.7.5 discloses sensitive information (including the DeepL API key) in files that are publicly accessible to an external, unauthenticated visitor.
References
contact@wpscan.comhttps://wpscan.com/vulnerability/4248a0af-1b7e-4e29-8129-3f40c1d0c560Exploit, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://wpscan.com/vulnerability/4248a0af-1b7e-4e29-8129-3f40c1d0c560Exploit, Third Party Advisory
Impacted products
Vendor Product Version
fluenx deepl_pro_api_translation *
To clipboard 

{
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:fluenx:deepl_pro_api_translation:*:*:*:*:*:wordpress:*:*",
              "matchCriteriaId": "4D98EB5E-F4FD-4B03-BE27-9D0CFA092722",
              "versionEndExcluding": "1.7.5",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The DeepL Pro API translation plugin WordPress plugin before 1.7.5 discloses sensitive information (including the DeepL API key) in files that are publicly accessible to an external, unauthenticated visitor."
    },
    {
      "lang": "es",
      "value": "El complemento de traducci\u00f3n de API de DeepL Pro, el complemento de WordPress anterior a 1.7.5, revela informaci\u00f3n sensible (incluida la clave de API de DeepL) en archivos a los que puede acceder p\u00fablicamente un visitante externo no autenticado."
    }
  ],
  "id": "CVE-2022-3691",
  "lastModified": "2025-04-30T16:15:24.107",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 3.6,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ]
  },
  "published": "2022-11-21T11:15:20.750",
  "references": [
    {
      "source": "contact@wpscan.com",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://wpscan.com/vulnerability/4248a0af-1b7e-4e29-8129-3f40c1d0c560"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://wpscan.com/vulnerability/4248a0af-1b7e-4e29-8129-3f40c1d0c560"
    }
  ],
  "sourceIdentifier": "contact@wpscan.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-552"
        }
      ],
      "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.

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.