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FKIE_CVE-2024-57083

Vulnerability from fkie_nvd - Published: 2025-03-28 21:15 - Updated: 2026-06-17 08:13
Summary
A prototype pollution in the component Module.mergeObjects (redoc/bundles/redoc.lib.js:2) of redoc <= 2.2.0 allows attackers to cause a Denial of Service (DoS) via supplying a crafted payload.
Impacted products
Vendor Product Version
redocly redoc *

{
  "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:redocly:redoc:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "F9432E7C-9F51-4935-9999-0B85EC25A8D6",
              "versionEndIncluding": "2.2.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "A prototype pollution in the component Module.mergeObjects (redoc/bundles/redoc.lib.js:2) of redoc \u003c= 2.2.0 allows attackers to cause a Denial of Service (DoS) via supplying a crafted payload."
    },
    {
      "lang": "es",
      "value": "Un prototipo de contaminaci\u00f3n en el componente Module.mergeObjects (redoc/bundles/redoc.lib.js:2) de redoc \u0026lt;= 2.2.0 permite a los atacantes provocar una denegaci\u00f3n de servicio (DoS) mediante el suministro de un payload manipulado."
    }
  ],
  "id": "CVE-2024-57083",
  "lastModified": "2026-06-17T08:13:18.197",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 3.6,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2024-57083",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-04-01T19:04:31.362668Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2025-03-28T21:15:17.307",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Exploit",
        "Issue Tracking",
        "Patch"
      ],
      "url": "https://github.com/Redocly/redoc/issues/2499"
    },
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "tags": [
        "Exploit",
        "Issue Tracking",
        "Patch"
      ],
      "url": "https://github.com/Redocly/redoc/issues/2499"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-1321"
        }
      ],
      "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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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.


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