GSD-2018-1351

Vulnerability from gsd - Updated: 2023-12-13 01:22
Details
A Cross-site Scripting (XSS) vulnerability in Fortinet FortiManager 6.0.0, 5.6.6 and below versions allows attacker to execute HTML/javascript code via managed remote devices CLI commands by viewing the remote device CLI config installation log.
Aliases
Aliases
CVE-2018-1351
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{
  "GSD": {
    "alias": "CVE-2018-1351",
    "description": "A Cross-site Scripting (XSS) vulnerability in Fortinet FortiManager 6.0.0, 5.6.6 and below versions allows attacker to execute HTML/javascript code via managed remote devices CLI commands by viewing the remote device CLI config installation log.",
    "id": "GSD-2018-1351"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2018-1351"
      ],
      "details": "A Cross-site Scripting (XSS) vulnerability in Fortinet FortiManager 6.0.0, 5.6.6 and below versions allows attacker to execute HTML/javascript code via managed remote devices CLI commands by viewing the remote device CLI config installation log.",
      "id": "GSD-2018-1351",
      "modified": "2023-12-13T01:22:37.456654Z",
      "schema_version": "1.4.0"
    }
  },
  "namespaces": {
    "cve.org": {
      "CVE_data_meta": {
        "ASSIGNER": "psirt@fortinet.com",
        "DATE_PUBLIC": "2018-06-22T00:00:00",
        "ID": "CVE-2018-1351",
        "STATE": "PUBLIC"
      },
      "affects": {
        "vendor": {
          "vendor_data": [
            {
              "product": {
                "product_data": [
                  {
                    "product_name": "Fortinet FortiManager",
                    "version": {
                      "version_data": [
                        {
                          "version_value": "FortiManager 6.0.0 and below versions"
                        }
                      ]
                    }
                  }
                ]
              },
              "vendor_name": "Fortinet, Inc."
            }
          ]
        }
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          }
        ]
      },
      "problemtype": {
        "problemtype_data": [
          {
            "description": [
              {
                "lang": "eng",
                "value": "Execute unauthorized code or commands"
              }
            ]
          }
        ]
      },
      "references": {
        "reference_data": [
          {
            "name": "1041181",
            "refsource": "SECTRACK",
            "url": "http://www.securitytracker.com/id/1041181"
          },
          {
            "name": "https://fortiguard.com/advisory/FG-IR-18-006",
            "refsource": "CONFIRM",
            "url": "https://fortiguard.com/advisory/FG-IR-18-006"
          },
          {
            "name": "104533",
            "refsource": "BID",
            "url": "http://www.securityfocus.com/bid/104533"
          }
        ]
      }
    },
    "nvd.nist.gov": {
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        "nodes": [
          {
            "children": [],
            "cpe_match": [
              {
                "cpe23Uri": "cpe:2.3:a:fortinet:fortimanager:*:*:*:*:*:*:*:*",
                "cpe_name": [],
                "versionEndIncluding": "6.0.0",
                "vulnerable": true
              }
            ],
            "operator": "OR"
          }
        ]
      },
      "cve": {
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          "ID": "CVE-2018-1351"
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        "description": {
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            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "en",
                  "value": "CWE-79"
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        },
        "references": {
          "reference_data": [
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              "name": "https://fortiguard.com/advisory/FG-IR-18-006",
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        }
      },
      "impact": {
        "baseMetricV2": {
          "cvssV2": {
            "accessComplexity": "MEDIUM",
            "accessVector": "NETWORK",
            "authentication": "SINGLE",
            "availabilityImpact": "NONE",
            "baseScore": 3.5,
            "confidentialityImpact": "NONE",
            "integrityImpact": "PARTIAL",
            "vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
            "version": "2.0"
          },
          "exploitabilityScore": 6.8,
          "impactScore": 2.9,
          "obtainAllPrivilege": false,
          "obtainOtherPrivilege": false,
          "obtainUserPrivilege": false,
          "severity": "LOW",
          "userInteractionRequired": true
        },
        "baseMetricV3": {
          "cvssV3": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 4.8,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "LOW",
            "integrityImpact": "LOW",
            "privilegesRequired": "HIGH",
            "scope": "CHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N",
            "version": "3.0"
          },
          "exploitabilityScore": 1.7,
          "impactScore": 2.7
        }
      },
      "lastModifiedDate": "2020-01-22T16:15Z",
      "publishedDate": "2018-06-28T15:29Z"
    }
  }
}



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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.
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  • 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.