FKIE_CVE-2022-32993

Vulnerability from fkie_nvd - Published: 2022-08-29 21:15 - Updated: 2026-07-09 01:17
Summary
TOTOLINK A7000R V4.1cu.4134 was discovered to contain an access control issue via /cgi-bin/ExportSettings.sh.
Impacted products
Vendor Product Version
totolink a7000r_firmware 4.1cu.4134
totolink a7000r -

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "source": "cve@mitre.org"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:o:totolink:a7000r_firmware:4.1cu.4134:*:*:*:*:*:*:*",
              "matchCriteriaId": "9A7261B4-E27C-4113-907F-F6EFEEFAB77D",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        },
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:h:totolink:a7000r:-:*:*:*:*:*:*:*",
              "matchCriteriaId": "603DA206-05D4-48FD-A506-F3BD8B4383B2",
              "vulnerable": false
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ],
      "operator": "AND"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "TOTOLINK A7000R V4.1cu.4134 was discovered to contain an access control issue via /cgi-bin/ExportSettings.sh."
    },
    {
      "lang": "es",
      "value": "Se ha detectado que TOTOLINK A7000R versi\u00f3n V4.1cu.4134, contiene un problema de control de acceso por medio del archivo /cgi-bin/ExportSettings.sh"
    }
  ],
  "id": "CVE-2022-32993",
  "lastModified": "2026-07-09T01:17:32.027",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.8,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2022-08-29T21:15:09.140",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://github.com/laotun-s/POC/blob/main/CVE-2022-32993.txt"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://github.com/laotun-s/POC/blob/main/CVE-2022-32993.txt"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "NVD-CWE-Other"
        }
      ],
      "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

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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.
  • 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.
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  • 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.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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