GSD-2023-46024

Vulnerability from gsd - Updated: 2023-12-13 01:20
Details
SQL Injection vulnerability in index.php in phpgurukul Teacher Subject Allocation Management System 1.0 allows attackers to run arbitrary SQL commands and obtain sensitive information via the 'searchdata' parameter.
Aliases
Aliases
CVE-2023-46024
To clipboard 

{
  "GSD": {
    "alias": "CVE-2023-46024",
    "id": "GSD-2023-46024"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2023-46024"
      ],
      "details": "SQL Injection vulnerability in index.php in phpgurukul Teacher Subject Allocation Management System 1.0 allows attackers to run arbitrary SQL commands and obtain sensitive information via the \u0027searchdata\u0027 parameter.",
      "id": "GSD-2023-46024",
      "modified": "2023-12-13T01:20:53.369331Z",
      "schema_version": "1.4.0"
    }
  },
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                    "version": {
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            "name": "https://github.com/ersinerenler/phpgurukul-Teacher-Subject-Allocation-Management-System-1.0/blob/main/CVE-2023-46024-phpgurukul-Teacher-Subject-Allocation-Management-System-1.0-SQL-Injection-Vulnerability.md",
            "refsource": "MISC",
            "url": "https://github.com/ersinerenler/phpgurukul-Teacher-Subject-Allocation-Management-System-1.0/blob/main/CVE-2023-46024-phpgurukul-Teacher-Subject-Allocation-Management-System-1.0-SQL-Injection-Vulnerability.md"
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                "cpe23Uri": "cpe:2.3:a:phpgurukul:teacher_subject_allocation_management_system:1.0:*:*:*:*:*:*:*",
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              "name": "https://github.com/ersinerenler/phpgurukul-Teacher-Subject-Allocation-Management-System-1.0/blob/main/CVE-2023-46024-phpgurukul-Teacher-Subject-Allocation-Management-System-1.0-SQL-Injection-Vulnerability.md",
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      "impact": {
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            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
            "version": "3.1"
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          "exploitabilityScore": 3.9,
          "impactScore": 3.6
        }
      },
      "lastModifiedDate": "2023-11-17T16:01Z",
      "publishedDate": "2023-11-14T22:15Z"
    }
  }
}


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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.



Detection rules are retrieved from Rulezet.