FKIE_CVE-2020-26306

Vulnerability from fkie_nvd - Published: 2024-10-26 21:15 - Updated: 2026-04-15 00:35
Summary
Knwl.js is a Javascript library that parses through text for dates, times, phone numbers, emails, places, and more. Versions 1.0.2 and prior contain one or more regular expressions that are vulnerable to Regular Expression Denial of Service (ReDoS). As of time of publication, no known patches are available.
Impacted products
Vendor Product Version

{
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Knwl.js is a Javascript library that parses through text for dates, times, phone numbers, emails, places, and more. Versions 1.0.2 and prior contain one or more regular expressions that are vulnerable to Regular Expression Denial of Service (ReDoS). As of time of publication, no known patches are available."
    },
    {
      "lang": "es",
      "value": "Knwl.js es una librer\u00eda de Javascript que analiza textos en busca de fechas, horas, n\u00fameros de tel\u00e9fono, correos electr\u00f3nicos, lugares y m\u00e1s. Las versiones 1.0.2 y anteriores contienen una o m\u00e1s expresiones regulares que son vulnerables a la denegaci\u00f3n de servicio por expresi\u00f3n regular (ReDoS). Al momento de la publicaci\u00f3n, no se conocen parches disponibles."
    }
  ],
  "id": "CVE-2020-26306",
  "lastModified": "2026-04-15T00:35:42.020",
  "metrics": {
    "cvssMetricV40": [
      {
        "cvssData": {
          "Automatable": "NOT_DEFINED",
          "Recovery": "NOT_DEFINED",
          "Safety": "NOT_DEFINED",
          "attackComplexity": "LOW",
          "attackRequirements": "NONE",
          "attackVector": "NETWORK",
          "availabilityRequirement": "NOT_DEFINED",
          "baseScore": 8.7,
          "baseSeverity": "HIGH",
          "confidentialityRequirement": "NOT_DEFINED",
          "exploitMaturity": "NOT_DEFINED",
          "integrityRequirement": "NOT_DEFINED",
          "modifiedAttackComplexity": "NOT_DEFINED",
          "modifiedAttackRequirements": "NOT_DEFINED",
          "modifiedAttackVector": "NOT_DEFINED",
          "modifiedPrivilegesRequired": "NOT_DEFINED",
          "modifiedSubAvailabilityImpact": "NOT_DEFINED",
          "modifiedSubConfidentialityImpact": "NOT_DEFINED",
          "modifiedSubIntegrityImpact": "NOT_DEFINED",
          "modifiedUserInteraction": "NOT_DEFINED",
          "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
          "modifiedVulnConfidentialityImpact": "NOT_DEFINED",
          "modifiedVulnIntegrityImpact": "NOT_DEFINED",
          "privilegesRequired": "NONE",
          "providerUrgency": "GREEN",
          "subAvailabilityImpact": "NONE",
          "subConfidentialityImpact": "NONE",
          "subIntegrityImpact": "NONE",
          "userInteraction": "NONE",
          "valueDensity": "NOT_DEFINED",
          "vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:Green",
          "version": "4.0",
          "vulnAvailabilityImpact": "HIGH",
          "vulnConfidentialityImpact": "NONE",
          "vulnIntegrityImpact": "NONE",
          "vulnerabilityResponseEffort": "NOT_DEFINED"
        },
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ]
  },
  "published": "2024-10-26T21:15:13.883",
  "references": [
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/benhmoore/Knwl/issues/106"
    },
    {
      "source": "security-advisories@github.com",
      "url": "https://securitylab.github.com/advisories/GHSL-2020-296-redos-Knwl.js/"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-1333"
        }
      ],
      "source": "security-advisories@github.com",
      "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.

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.
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