CVE-2023-1059 (GCVE-0-2023-1059)

Vulnerability from cvelistv5 – Published: 2023-02-27 11:08 – Updated: 2025-05-17 09:56
VLAI
Title
SourceCodester Doctors Appointment System Parameter doctors.php sql injection
Summary
A vulnerability classified as critical was found in SourceCodester Doctors Appointment System 1.0. This vulnerability affects unknown code of the file /admin/doctors.php of the component Parameter Handler. The manipulation of the argument search/id leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-18 18:18 UTC
CWE
References
Impacted products
Vendor Product Version CPE status
SourceCodester Doctors Appointment System Affected: 1.0
guessed Create a notification for this product.
doctors_appointment_system_project doctors_appointment_system Affected: 1.0
    cpe:2.3:a:doctors_appointment_system_project:doctors_appointment_system:1.0:*:*:*:*:*:*:*
Create a notification for this product.
Show details on NVD website

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                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
                "version": "3.1"
              }
            },
            {
              "cvssV3_0": {
                "baseScore": 6.3,
                "baseSeverity": "MEDIUM",
                "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L",
                "version": "3.0"
              }
            },
            {
              "cvssV2_0": {
                "baseScore": 6.5,
                "vectorString": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
                "version": "2.0"
              }
            }
          ],
          "problemTypes": [
            {
              "descriptions": [
                {
                  "cweId": "CWE-89",
                  "description": "SQL Injection",
                  "lang": "en",
                  "type": "CWE"
                }
              ]
            },
            {
              "descriptions": [
                {
                  "cweId": "CWE-74",
                  "description": "Injection",
                  "lang": "en",
                  "type": "CWE"
                }
              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2025-05-17T09:56:48.826Z",
            "orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
            "shortName": "VulDB"
          },
          "references": [
            {
              "name": "VDB-221824 | SourceCodester Doctors Appointment System Parameter doctors.php sql injection",
              "tags": [
                "vdb-entry",
                "technical-description"
              ],
              "url": "https://vuldb.com/?id.221824"
            },
            {
              "name": "VDB-221824 | CTI Indicators (IOB, IOC, TTP, IOA)",
              "tags": [
                "signature",
                "permissions-required"
              ],
              "url": "https://vuldb.com/?ctiid.221824"
            },
            {
              "name": "Submit #95222 | Sql injection exists for search parameter of edoc doctor appointment system",
              "tags": [
                "third-party-advisory"
              ],
              "url": "https://vuldb.com/?submit.95222"
            },
            {
              "tags": [
                "exploit"
              ],
              "url": "https://github.com/E1CHO/cve_hub/blob/main/edoc%20doctor%20appointment%20system/edoc%20doctor%20appointment%20system%20vlun3.pdf"
            },
            {
              "tags": [
                "product"
              ],
              "url": "https://www.sourcecodester.com/"
            }
          ],
          "timeline": [
            {
              "lang": "en",
              "time": "2023-02-27T00:00:00.000Z",
              "value": "Advisory disclosed"
            },
            {
              "lang": "en",
              "time": "2023-02-27T00:00:00.000Z",
              "value": "CVE reserved"
            },
            {
              "lang": "en",
              "time": "2023-02-27T01:00:00.000Z",
              "value": "VulDB entry created"
            },
            {
              "lang": "en",
              "time": "2025-05-17T12:01:45.000Z",
              "value": "VulDB entry last update"
            }
          ],
          "title": "SourceCodester Doctors Appointment System Parameter doctors.php sql injection"
        }
      },
      "cveMetadata": {
        "assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
        "assignerShortName": "VulDB",
        "cveId": "CVE-2023-1059",
        "datePublished": "2023-02-27T11:08:27.930Z",
        "dateReserved": "2023-02-27T11:06:59.761Z",
        "dateUpdated": "2025-05-17T09:56:48.826Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



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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.

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Detection rules are retrieved from Rulezet.

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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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