GSD-2020-26630

Vulnerability from gsd - Updated: 2023-12-13 01:22
Details
A Time-Based SQL Injection vulnerability was discovered in Hospital Management System V4.0 which can allow an attacker to dump database information via a special payload in the 'Doctor Specialization' field under the 'Go to Doctors' tab after logging in as an admin.
Aliases
Aliases

{
  "GSD": {
    "alias": "CVE-2020-26630",
    "id": "GSD-2020-26630"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2020-26630"
      ],
      "details": "A Time-Based SQL Injection vulnerability was discovered in Hospital Management System V4.0 which can allow an attacker to dump database information via a special payload in the \u0027Doctor Specialization\u0027 field under the \u0027Go to Doctors\u0027 tab after logging in as an admin.",
      "id": "GSD-2020-26630",
      "modified": "2023-12-13T01:22:09.054977Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "cve@mitre.org",
        "ID": "CVE-2020-26630",
        "STATE": "PUBLIC"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "n/a",
                    "version": {
                      "version_data": [
                        {
                          "version_value": "n/a"
                        }
                      ]
                    }
                  }
                ]
              },
              "vendor_name": "n/a"
            }
          ]
        }
      },
      "data_format": "MITRE",
      "data_type": "CVE",
      "data_version": "4.0",
      "description": {
        "description_data": [
          {
            "lang": "eng",
            "value": "A Time-Based SQL Injection vulnerability was discovered in Hospital Management System V4.0 which can allow an attacker to dump database information via a special payload in the \u0027Doctor Specialization\u0027 field under the \u0027Go to Doctors\u0027 tab after logging in as an admin."
          }
        ]
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "n/a"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "https://packetstormsecurity.com/files/176302/Hospital-Management-System-4.0-XSS-Shell-Upload-SQL-Injection.html",
            "refsource": "MISC",
            "url": "https://packetstormsecurity.com/files/176302/Hospital-Management-System-4.0-XSS-Shell-Upload-SQL-Injection.html"
          }
        ]
      }
    },
    "nvd.nist.gov": {
      "cve": {
        "configurations": [
          {
            "nodes": [
              {
                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:a:phpgurukul:hospital_management_system:4.0:*:*:*:*:*:*:*",
                    "matchCriteriaId": "DA36E354-4DBF-4BE4-9BC4-CB00C6771BAF",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          }
        ],
        "descriptions": [
          {
            "lang": "en",
            "value": "A Time-Based SQL Injection vulnerability was discovered in Hospital Management System V4.0 which can allow an attacker to dump database information via a special payload in the \u0027Doctor Specialization\u0027 field under the \u0027Go to Doctors\u0027 tab after logging in as an admin."
          },
          {
            "lang": "es",
            "value": "Se descubri\u00f3 una vulnerabilidad de inyecci\u00f3n SQL basada en tiempo en Hospital Management System V4.0 que puede permitir a un atacante volcar informaci\u00f3n de la base de datos a trav\u00e9s de un payload especial en el campo \"Especializaci\u00f3n de m\u00e9dicos\" en la pesta\u00f1a \"Ir a m\u00e9dicos\" despu\u00e9s de iniciar sesi\u00f3n como administrador."
          }
        ],
        "id": "CVE-2020-26630",
        "lastModified": "2024-01-16T15:19:40.547",
        "metrics": {
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "NONE",
                "baseScore": 4.9,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "HIGH",
                "integrityImpact": "NONE",
                "privilegesRequired": "HIGH",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N",
                "version": "3.1"
              },
              "exploitabilityScore": 1.2,
              "impactScore": 3.6,
              "source": "nvd@nist.gov",
              "type": "Primary"
            }
          ]
        },
        "published": "2024-01-10T09:15:43.953",
        "references": [
          {
            "source": "cve@mitre.org",
            "tags": [
              "Exploit",
              "Third Party Advisory",
              "VDB Entry"
            ],
            "url": "https://packetstormsecurity.com/files/176302/Hospital-Management-System-4.0-XSS-Shell-Upload-SQL-Injection.html"
          }
        ],
        "sourceIdentifier": "cve@mitre.org",
        "vulnStatus": "Analyzed",
        "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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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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