FKIE_CVE-2025-60783

Vulnerability from fkie_nvd - Published: 2025-10-20 21:15 - Updated: 2026-06-17 09:50
Severity
6.5 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N
Summary
There is a SQL injection vulnerability in Restaurant Management System DBMS Project v1.0 via login.php. The vulnerability allows attackers to manipulate the application's database through specially crafted SQL query strings.
References
cve@mitre.orghttps://gold-textbook-8ff.notion.site/Restaurant-Management-System-DBMS-project-SQL-injection-25985e97f35380b2922ad4ebe8c47639Exploit, Third Party Advisory
cve@mitre.orghttps://gold-textbook-8ff.notion.site/Restaurant-Management-System-DBMS-project-SQL-injection-25985e97f35380b2922ad4ebe8c47639?pvs=73Exploit, Third Party Advisory
Impacted products
Vendor Product Version
rajvi-patel-22 restaurant-management-system-dbms-project 1.0
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "source": "cve@mitre.org"
    }
  ],
  "configurations": [
    {
      "nodes": [
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          "cpeMatch": [
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              "criteria": "cpe:2.3:a:rajvi-patel-22:restaurant-management-system-dbms-project:1.0:*:*:*:*:*:*:*",
              "matchCriteriaId": "87EAFFB2-F8EB-409C-8AC3-42C2AAE14A40",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "There is a SQL injection vulnerability in Restaurant Management System DBMS Project v1.0 via login.php. The vulnerability allows attackers to manipulate the application\u0027s database through specially crafted SQL query strings."
    }
  ],
  "id": "CVE-2025-60783",
  "lastModified": "2026-06-17T09:50:05.713",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 6.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "LOW",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 2.5,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
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        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
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          "options": [
            {
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            {
              "automatable": "yes"
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            {
              "technicalImpact": "total"
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          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-10-20T20:40:46.237458Z",
          "version": "2.0.3"
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  },
  "published": "2025-10-20T21:15:38.037",
  "references": [
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      "source": "cve@mitre.org",
      "tags": [
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        "Third Party Advisory"
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      "url": "https://gold-textbook-8ff.notion.site/Restaurant-Management-System-DBMS-project-SQL-injection-25985e97f35380b2922ad4ebe8c47639"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
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      "url": "https://gold-textbook-8ff.notion.site/Restaurant-Management-System-DBMS-project-SQL-injection-25985e97f35380b2922ad4ebe8c47639?pvs=73"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "type": "Secondary"
    }
  ]
}



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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.


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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.