FKIE_CVE-2022-29546

Vulnerability from fkie_nvd - Published: 2022-04-25 03:15 - Updated: 2026-06-17 04:40
Summary
HtmlUnit NekoHtml Parser before 2.61.0 suffers from a denial of service vulnerability. Crafted input associated with the parsing of Processing Instruction (PI) data leads to heap memory consumption. This is similar to CVE-2022-28366 but affects a much later version of the product.
Impacted products
Vendor Product Version
htmlunit htmlunit *

{
  "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:htmlunit:htmlunit:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "0926A91D-391E-4BAF-A505-6063540F3531",
              "versionEndExcluding": "2.61.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "HtmlUnit NekoHtml Parser before 2.61.0 suffers from a denial of service vulnerability. Crafted input associated with the parsing of Processing Instruction (PI) data leads to heap memory consumption. This is similar to CVE-2022-28366 but affects a much later version of the product."
    },
    {
      "lang": "es",
      "value": "HtmlUnit NekoHtml Parser versiones anteriores a 2.61.0 sufre una vulnerabilidad de denegaci\u00f3n de servicio. La entrada dise\u00f1ada asociada al an\u00e1lisis de datos de instrucciones de procesamiento (PI) conlleva a un consumo de memoria de la pila. Esto es similar a CVE-2022-28366 pero afecta a una versi\u00f3n mucho m\u00e1s reciente del producto"
    }
  ],
  "id": "CVE-2022-29546",
  "lastModified": "2026-06-17T04:40:24.073",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "PARTIAL",
          "baseScore": 5.0,
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
          "version": "2.0"
        },
        "exploitabilityScore": 10.0,
        "impactScore": 2.9,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "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": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2022-04-25T03:15:07.840",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://github.com/HtmlUnit/htmlunit-neko/security/advisories/GHSA-6jmm-mp6w-4rrg"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://github.com/HtmlUnit/htmlunit-neko/security/advisories/GHSA-6jmm-mp6w-4rrg"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "NVD-CWE-noinfo"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}



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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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