CVE-2016-5100 (GCVE-0-2016-5100)

Vulnerability from cvelistv5 – Published: 2017-02-13 18:00 – Updated: 2024-08-06 00:53
VLAI
Summary
Froxlor before 0.9.35 uses the PHP rand function for random number generation, which makes it easier for remote attackers to guess the password reset token by predicting a value.
Severity
9.8 (Critical)
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CWE
  • n/a
Assigner
References
Date Public
2016-01-28 00:00
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-06T00:53:47.285Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_CONFIRM",
              "x_transferred"
            ],
            "url": "https://github.com/Froxlor/Froxlor/commit/da4ec3e1b591de96675817a009e26e05e848a6ba"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "datePublic": "2016-01-28T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "Froxlor before 0.9.35 uses the PHP rand function for random number generation, which makes it easier for remote attackers to guess the password reset token by predicting a value."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2017-02-13T17:57:01.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/Froxlor/Froxlor/commit/da4ec3e1b591de96675817a009e26e05e848a6ba"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2016-5100",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "n/a",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "n/a"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "n/a"
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "Froxlor before 0.9.35 uses the PHP rand function for random number generation, which makes it easier for remote attackers to guess the password reset token by predicting a value."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "n/a"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/Froxlor/Froxlor/commit/da4ec3e1b591de96675817a009e26e05e848a6ba",
              "refsource": "CONFIRM",
              "url": "https://github.com/Froxlor/Froxlor/commit/da4ec3e1b591de96675817a009e26e05e848a6ba"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2016-5100",
    "datePublished": "2017-02-13T18:00:00.000Z",
    "dateReserved": "2016-05-26T00:00:00.000Z",
    "dateUpdated": "2024-08-06T00:53:47.285Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2016-5100",
      "date": "2026-07-16",
      "epss": "0.01915",
      "percentile": "0.77517"
    },
    "fkie_nvd": {
      "configurations": "[{\"nodes\": [{\"operator\": \"OR\", \"negate\": false, \"cpeMatch\": [{\"vulnerable\": true, \"criteria\": \"cpe:2.3:a:froxlor:froxlor:*:*:*:*:*:*:*:*\", \"versionEndIncluding\": \"0.9.34.2\", \"matchCriteriaId\": \"176CAE64-5DA7-4AF6-8733-E98E895F01A7\"}]}]}]",
      "descriptions": "[{\"lang\": \"en\", \"value\": \"Froxlor before 0.9.35 uses the PHP rand function for random number generation, which makes it easier for remote attackers to guess the password reset token by predicting a value.\"}, {\"lang\": \"es\", \"value\": \"Froxlor en versiones anteriores a 0.9.35 utiliza la funci\\u00f3n rand de PHP para la generaci\\u00f3n de n\\u00fameros aleatorios, lo que facilita a atacantes remotos adivinar el token de restablecimiento de contrase\\u00f1a mediante la predicci\\u00f3n de un valor.\"}]",
      "id": "CVE-2016-5100",
      "lastModified": "2024-11-21T02:53:37.793",
      "metrics": "{\"cvssMetricV30\": [{\"source\": \"nvd@nist.gov\", \"type\": \"Primary\", \"cvssData\": {\"version\": \"3.0\", \"vectorString\": \"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H\", \"baseScore\": 9.8, \"baseSeverity\": \"CRITICAL\", \"attackVector\": \"NETWORK\", \"attackComplexity\": \"LOW\", \"privilegesRequired\": \"NONE\", \"userInteraction\": \"NONE\", \"scope\": \"UNCHANGED\", \"confidentialityImpact\": \"HIGH\", \"integrityImpact\": \"HIGH\", \"availabilityImpact\": \"HIGH\"}, \"exploitabilityScore\": 3.9, \"impactScore\": 5.9}], \"cvssMetricV2\": [{\"source\": \"nvd@nist.gov\", \"type\": \"Primary\", \"cvssData\": {\"version\": \"2.0\", \"vectorString\": \"AV:N/AC:L/Au:N/C:P/I:N/A:N\", \"baseScore\": 5.0, \"accessVector\": \"NETWORK\", \"accessComplexity\": \"LOW\", \"authentication\": \"NONE\", \"confidentialityImpact\": \"PARTIAL\", \"integrityImpact\": \"NONE\", \"availabilityImpact\": \"NONE\"}, \"baseSeverity\": \"MEDIUM\", \"exploitabilityScore\": 10.0, \"impactScore\": 2.9, \"acInsufInfo\": false, \"obtainAllPrivilege\": false, \"obtainUserPrivilege\": false, \"obtainOtherPrivilege\": false, \"userInteractionRequired\": false}]}",
      "published": "2017-02-13T18:59:00.627",
      "references": "[{\"url\": \"https://github.com/Froxlor/Froxlor/commit/da4ec3e1b591de96675817a009e26e05e848a6ba\", \"source\": \"cve@mitre.org\", \"tags\": [\"Issue Tracking\", \"Patch\", \"Third Party Advisory\"]}, {\"url\": \"https://github.com/Froxlor/Froxlor/commit/da4ec3e1b591de96675817a009e26e05e848a6ba\", \"source\": \"af854a3a-2127-422b-91ae-364da2661108\", \"tags\": [\"Issue Tracking\", \"Patch\", \"Third Party Advisory\"]}]",
      "sourceIdentifier": "cve@mitre.org",
      "vulnStatus": "Modified",
      "weaknesses": "[{\"source\": \"nvd@nist.gov\", \"type\": \"Primary\", \"description\": [{\"lang\": \"en\", \"value\": \"CWE-330\"}]}]"
    },
    "nvd": "{\"cve\":{\"id\":\"CVE-2016-5100\",\"sourceIdentifier\":\"cve@mitre.org\",\"published\":\"2017-02-13T18:59:00.627\",\"lastModified\":\"2026-05-13T00:24:29.033\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"Froxlor before 0.9.35 uses the PHP rand function for random number generation, which makes it easier for remote attackers to guess the password reset token by predicting a value.\"},{\"lang\":\"es\",\"value\":\"Froxlor en versiones anteriores a 0.9.35 utiliza la funci\u00f3n rand de PHP para la generaci\u00f3n de n\u00fameros aleatorios, lo que facilita a atacantes remotos adivinar el token de restablecimiento de contrase\u00f1a mediante la predicci\u00f3n de un valor.\"}],\"metrics\":{\"cvssMetricV30\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.0\",\"vectorString\":\"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H\",\"baseScore\":9.8,\"baseSeverity\":\"CRITICAL\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":3.9,\"impactScore\":5.9}],\"cvssMetricV2\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"2.0\",\"vectorString\":\"AV:N/AC:L/Au:N/C:P/I:N/A:N\",\"baseScore\":5.0,\"accessVector\":\"NETWORK\",\"accessComplexity\":\"LOW\",\"authentication\":\"NONE\",\"confidentialityImpact\":\"PARTIAL\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"NONE\"},\"baseSeverity\":\"MEDIUM\",\"exploitabilityScore\":10.0,\"impactScore\":2.9,\"acInsufInfo\":false,\"obtainAllPrivilege\":false,\"obtainUserPrivilege\":false,\"obtainOtherPrivilege\":false,\"userInteractionRequired\":false}]},\"weaknesses\":[{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-330\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:froxlor:froxlor:*:*:*:*:*:*:*:*\",\"versionEndIncluding\":\"0.9.34.2\",\"matchCriteriaId\":\"176CAE64-5DA7-4AF6-8733-E98E895F01A7\"}]}]}],\"references\":[{\"url\":\"https://github.com/Froxlor/Froxlor/commit/da4ec3e1b591de96675817a009e26e05e848a6ba\",\"source\":\"cve@mitre.org\",\"tags\":[\"Issue Tracking\",\"Patch\",\"Third Party Advisory\"]},{\"url\":\"https://github.com/Froxlor/Froxlor/commit/da4ec3e1b591de96675817a009e26e05e848a6ba\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Issue Tracking\",\"Patch\",\"Third Party Advisory\"]}]}}"
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.