FKIE_CVE-2023-26687

Vulnerability from fkie_nvd - Published: 2024-09-25 01:15 - Updated: 2026-06-17 05:43
Summary
Directory Traversal vulnerability in CS-Cart MultiVendor 4.16.1 allows remote attackers to obtain sensitive information via the product_data parameter in the PDF Add-on.
Impacted products
Vendor Product Version
cs-cart cs-cart_multivendor 4.16.1

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "source": "cve@mitre.org"
    },
    {
      "affectedData": [
        {
          "cpes": [
            "cpe:2.3:a:cs-cart:cs-cart_multivendor:*:*:*:*:japanese:*:*:*"
          ],
          "defaultStatus": "unknown",
          "product": "cs-cart_multivendor",
          "vendor": "cs-cart",
          "versions": [
            {
              "status": "affected",
              "version": "4.16.1"
            }
          ]
        }
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:cs-cart:cs-cart_multivendor:4.16.1:*:*:*:*:*:*:*",
              "matchCriteriaId": "E65BAFFF-E121-47B3-B1BD-1283040A39F0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Directory Traversal vulnerability in CS-Cart MultiVendor 4.16.1 allows remote attackers to obtain sensitive information via the product_data parameter in the PDF Add-on."
    },
    {
      "lang": "es",
      "value": "La vulnerabilidad de Directory Traversal en CS-Cart MultiVendor 4.16.1 permite a atacantes remotos obtener informaci\u00f3n confidencial a trav\u00e9s del par\u00e1metro product_data en el complemento PDF."
    }
  ],
  "id": "CVE-2023-26687",
  "lastModified": "2026-06-17T05:43:43.630",
  "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"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2023-26687",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2024-09-24T18:42:59.528715Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2024-09-25T01:15:33.837",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://github.com/cybrops-io/CVEs/tree/main/CVE-2023-26687%20-%20Local%20File%20Inclusion%20vulnerability%20in%20CS-Cart%20MultiVendor"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-22"
        }
      ],
      "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.

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