FKIE_CVE-2022-24691

Vulnerability from fkie_nvd - Published: 2022-07-18 13:15 - Updated: 2024-11-21 06:50
Severity ?
7.1 (High) - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N
Summary
An issue was discovered in DSK DSKNet 2.16.136.0 and 2.17.136.5. A SQL Injection vulnerability allows authenticated users to taint database data and extract sensitive information via crafted HTTP requests. The type of SQL Injection is blind boolean based.
References
cve@mitre.orghttps://dsk.lu/fr/produits/temps-de-presenceProduct
cve@mitre.orghttps://github.com/post-cyberlabs/CVE-Advisory/blob/main/CVE-2022-24688-92.pdfExploit, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://dsk.lu/fr/produits/temps-de-presenceProduct
af854a3a-2127-422b-91ae-364da2661108https://github.com/post-cyberlabs/CVE-Advisory/blob/main/CVE-2022-24688-92.pdfExploit, Third Party Advisory
Impacted products
Vendor Product Version
dsk dsknet 2.16.136.0
dsk dsknet 2.17.136.5
To clipboard 

{
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:dsk:dsknet:2.16.136.0:*:*:*:*:*:*:*",
              "matchCriteriaId": "49B0E313-BCD6-47A4-9968-A49FD8E78A34",
              "vulnerable": true
            },
            {
              "criteria": "cpe:2.3:a:dsk:dsknet:2.17.136.5:*:*:*:*:*:*:*",
              "matchCriteriaId": "B31B0D02-2879-422F-8100-2594CA5E82F5",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "An issue was discovered in DSK DSKNet 2.16.136.0 and 2.17.136.5. A SQL Injection vulnerability allows authenticated users to taint database data and extract sensitive information via crafted HTTP requests. The type of SQL Injection is blind boolean based."
    },
    {
      "lang": "es",
      "value": "Se ha detectado un problema en DSK DSKNet versiones 2.16.136.0 y 2.17.136.5. Una vulnerabilidad de Inyecci\u00f3n SQL permite a usuarios autenticados manchar los datos de la base de datos y extraer informaci\u00f3n confidencial por medio de peticiones HTTP dise\u00f1adas. El tipo de inyecci\u00f3n SQL est\u00e1 basado en un booleano ciego"
    }
  ],
  "id": "CVE-2022-24691",
  "lastModified": "2024-11-21T06:50:53.317",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 7.1,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "LOW",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 4.2,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2022-07-18T13:15:09.853",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Product"
      ],
      "url": "https://dsk.lu/fr/produits/temps-de-presence"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://github.com/post-cyberlabs/CVE-Advisory/blob/main/CVE-2022-24688-92.pdf"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Product"
      ],
      "url": "https://dsk.lu/fr/produits/temps-de-presence"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://github.com/post-cyberlabs/CVE-Advisory/blob/main/CVE-2022-24688-92.pdf"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ],
      "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.
  • 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.