Vulnerability-Lookup

FKIE_CVE-2016-5100

Vulnerability from fkie_nvd - Published: 2017-02-13 18:59 - Updated: 2026-06-17 00:48

Severity

9.8 (Critical) - CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

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.

References

	URL	Tags
	cve@mitre.org	https://github.com/Froxlor/Froxlor/commit/da4ec3e1b591de96675817a009e26e05e848a6ba	Issue Tracking, Patch, Third Party Advisory
	af854a3a-2127-422b-91ae-364da2661108	https://github.com/Froxlor/Froxlor/commit/da4ec3e1b591de96675817a009e26e05e848a6ba	Issue Tracking, Patch, Third Party Advisory

Impacted products

	Vendor	Product	Version
	froxlor	froxlor	*

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "source": "cve@mitre.org"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:froxlor:froxlor:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "176CAE64-5DA7-4AF6-8733-E98E895F01A7",
              "versionEndIncluding": "0.9.34.2",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "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."
    }
  ],
  "id": "CVE-2016-5100",
  "lastModified": "2026-06-17T00:48:45.750",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "NONE",
          "baseScore": 5.0,
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "NONE",
          "vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
          "version": "2.0"
        },
        "exploitabilityScore": 10.0,
        "impactScore": 2.9,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.8,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2017-02-13T18:59:00.627",
  "references": [
    {
      "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"
      ],
      "url": "https://github.com/Froxlor/Froxlor/commit/da4ec3e1b591de96675817a009e26e05e848a6ba"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-330"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}

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

Vulnerability from cvelistv5 – Published: 2017-02-13 18:00 – Updated: 2024-08-06 00:53

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

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/Froxlor/Froxlor/commit/da4ec3e…	x_refsource_CONFIRM

Date Public

2016-01-28 00:00

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-06T00:53:47.285Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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            ],
            "url": "https://github.com/Froxlor/Froxlor/commit/da4ec3e1b591de96675817a009e26e05e848a6ba"
          }
        ],
        "title": "CVE Program Container"
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    "cna": {
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          "vendor": "n/a",
          "versions": [
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          ]
        }
      ],
      "datePublic": "2016-01-28T00:00:00.000Z",
      "descriptions": [
        {
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        }
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              "type": "text"
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      "providerMetadata": {
        "dateUpdated": "2017-02-13T17:57:01.000Z",
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      },
      "references": [
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          "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"
                          }
                        ]
                      }
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                "vendor_name": "n/a"
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  "cveMetadata": {
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    "dateReserved": "2016-05-26T00:00:00.000Z",
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}

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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

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.