GSD-2023-49471

Vulnerability from gsd - Updated: 2023-12-13 01:20
Details
Blind Server-Side Request Forgery (SSRF) vulnerability in karlomikus Bar Assistant before version 3.2.0 does not validate a parameter before making a request through Image::make(), which could allow authenticated remote attackers to execute arbitrary code.
Aliases
Aliases

{
  "GSD": {
    "alias": "CVE-2023-49471",
    "id": "GSD-2023-49471"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2023-49471"
      ],
      "details": "Blind Server-Side Request Forgery (SSRF) vulnerability in karlomikus Bar Assistant before version 3.2.0 does not validate a parameter before making a request through Image::make(), which could allow authenticated remote attackers to execute arbitrary code.",
      "id": "GSD-2023-49471",
      "modified": "2023-12-13T01:20:35.298212Z",
      "schema_version": "1.4.0"
    }
  },
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        "ID": "CVE-2023-49471",
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      "affects": {
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                    "product_name": "n/a",
                    "version": {
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                          "version_value": "n/a"
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          }
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      },
      "problemtype": {
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                "value": "n/a"
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      "references": {
        "reference_data": [
          {
            "name": "https://github.com/zunak/CVE-2023-49471",
            "refsource": "MISC",
            "url": "https://github.com/zunak/CVE-2023-49471"
          }
        ]
      }
    },
    "nvd.nist.gov": {
      "cve": {
        "configurations": [
          {
            "nodes": [
              {
                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:a:barassistant:bar_assistant:*:*:*:*:*:*:*:*",
                    "matchCriteriaId": "911453D4-483B-4773-8E79-4ED9169DBE24",
                    "versionEndExcluding": "3.2.0",
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                  }
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                "operator": "OR"
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        ],
        "descriptions": [
          {
            "lang": "en",
            "value": "Blind Server-Side Request Forgery (SSRF) vulnerability in karlomikus Bar Assistant before version 3.2.0 does not validate a parameter before making a request through Image::make(), which could allow authenticated remote attackers to execute arbitrary code."
          },
          {
            "lang": "es",
            "value": "Vulnerabilidad de Blind Server-Side Request Forgery (SSRF) en Karlomikus Bar Assistant anterior a la versi\u00f3n 3.2.0 no valida un par\u00e1metro antes de realizar una solicitud a trav\u00e9s de Image::make(), lo que podr\u00eda permitir a atacantes remotos autenticados ejecutar c\u00f3digo arbitrario."
          }
        ],
        "id": "CVE-2023-49471",
        "lastModified": "2024-01-17T13:41:42.813",
        "metrics": {
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "HIGH",
                "baseScore": 8.8,
                "baseSeverity": "HIGH",
                "confidentialityImpact": "HIGH",
                "integrityImpact": "HIGH",
                "privilegesRequired": "LOW",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
                "version": "3.1"
              },
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              "impactScore": 5.9,
              "source": "nvd@nist.gov",
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        "published": "2024-01-10T09:15:44.140",
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        "vulnStatus": "Analyzed",
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            "type": "Primary"
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        ]
      }
    }
  }
}



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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.

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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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