CVE-2022-24839 (GCVE-0-2022-24839)

Vulnerability from cvelistv5 – Published: 2022-04-11 21:25 – Updated: 2025-04-23 18:40
VLAI
Title
Uncontrolled Resource Consumption in org.cyberneko.html (nokogiri fork)
Summary
org.cyberneko.html is an html parser written in Java. The fork of `org.cyberneko.html` used by Nokogiri (Rubygem) raises a `java.lang.OutOfMemoryError` exception when parsing ill-formed HTML markup. Users are advised to upgrade to `>= 1.9.22.noko2`. Note: The upstream library `org.cyberneko.html` is no longer maintained. Nokogiri uses its own fork of this library located at https://github.com/sparklemotion/nekohtml and this CVE applies only to that fork. Other forks of nekohtml may have a similar vulnerability.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 15:55 UTC
CWE
  • CWE-400 - Uncontrolled Resource Consumption
Impacted products
Vendor Product Version CPE status
sparklemotion nekohtml Affected: < 1.9.22.noko2
guessed Create a notification for this product.
Show details on NVD website

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              "TITLE": "Uncontrolled Resource Consumption in org.cyberneko.html (nokogiri fork)"
            },
            "affects": {
              "vendor": {
                "vendor_data": [
                  {
                    "product": {
                      "product_data": [
                        {
                          "product_name": "nekohtml",
                          "version": {
                            "version_data": [
                              {
                                "version_value": "\u003c 1.9.22.noko2"
                              }
                            ]
                          }
                        }
                      ]
                    },
                    "vendor_name": "sparklemotion"
                  }
                ]
              }
            },
            "data_format": "MITRE",
            "data_type": "CVE",
            "data_version": "4.0",
            "description": {
              "description_data": [
                {
                  "lang": "eng",
                  "value": "org.cyberneko.html is an html parser written in Java. The fork of `org.cyberneko.html` used by Nokogiri (Rubygem) raises a `java.lang.OutOfMemoryError` exception when parsing ill-formed HTML markup. Users are advised to upgrade to `\u003e= 1.9.22.noko2`. Note: The upstream library `org.cyberneko.html` is no longer maintained. Nokogiri uses its own fork of this library located at https://github.com/sparklemotion/nekohtml and this CVE applies only to that fork. Other forks of nekohtml may have a similar vulnerability."
                }
              ]
            },
            "impact": {
              "cvss": {
                "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"
              }
            },
            "problemtype": {
              "problemtype_data": [
                {
                  "description": [
                    {
                      "lang": "eng",
                      "value": "CWE-400: Uncontrolled Resource Consumption"
                    }
                  ]
                }
              ]
            },
            "references": {
              "reference_data": [
                {
                  "name": "https://github.com/sparklemotion/nekohtml/security/advisories/GHSA-9849-p7jc-9rmv",
                  "refsource": "CONFIRM",
                  "url": "https://github.com/sparklemotion/nekohtml/security/advisories/GHSA-9849-p7jc-9rmv"
                },
                {
                  "name": "https://github.com/sparklemotion/nekohtml/commit/a800fce3b079def130ed42a408ff1d09f89e773d",
                  "refsource": "MISC",
                  "url": "https://github.com/sparklemotion/nekohtml/commit/a800fce3b079def130ed42a408ff1d09f89e773d"
                },
                {
                  "name": "https://www.oracle.com/security-alerts/cpujul2022.html",
                  "refsource": "MISC",
                  "url": "https://www.oracle.com/security-alerts/cpujul2022.html"
                }
              ]
            },
            "source": {
              "advisory": "GHSA-9849-p7jc-9rmv",
              "discovery": "UNKNOWN"
            }
          }
        }
      },
      "cveMetadata": {
        "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "assignerShortName": "GitHub_M",
        "cveId": "CVE-2022-24839",
        "datePublished": "2022-04-11T21:25:12.000Z",
        "dateReserved": "2022-02-10T00:00:00.000Z",
        "dateUpdated": "2025-04-23T18:40:37.485Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



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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

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.

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Detection rules are retrieved from Rulezet.

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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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