FKIE_CVE-2026-31899

Vulnerability from fkie_nvd - Published: 2026-03-13 19:54 - Updated: 2026-06-17 10:34
Summary
CairoSVG is an SVG converter based on Cairo, a 2D graphics library. Prior to Kozea/CairoSVG has exponential denial of service via recursive <use> element amplification in cairosvg/defs.py. This causes CPU exhaustion from a small input.
Impacted products
Vendor Product Version
courtbouillon cairosvg *

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "CairoSVG",
          "vendor": "Kozea",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 2.9.0"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:courtbouillon:cairosvg:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "901094B9-8320-4ACD-BE63-925FC6B199E1",
              "versionEndExcluding": "2.9.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "CairoSVG is an SVG converter based on Cairo, a 2D graphics library. Prior to Kozea/CairoSVG has exponential denial of service via recursive \u003cuse\u003e element amplification in cairosvg/defs.py. This causes CPU exhaustion from a small input."
    },
    {
      "lang": "es",
      "value": "CairoSVG es un conversor de SVG basado en Cairo, una librer\u00edade gr\u00e1ficos 2D. Anteriormente, Kozea/CairoSVG ten\u00eda una denegaci\u00f3n de servicio exponencial a trav\u00e9s de la amplificaci\u00f3n recursiva del elemento  en cairosvg/defs.py. Esto causa el agotamiento de la CPU a partir de una entrada peque\u00f1a."
    }
  ],
  "id": "CVE-2026-31899",
  "lastModified": "2026-06-17T10:34:43.337",
  "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": "security-advisories@github.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-31899",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-03-16T13:37:56.879562Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-03-13T19:54:38.190",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/Kozea/CairoSVG/commit/6dde8685ed3f19837767bce7a13a5491e3d0e0bf"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Exploit",
        "Mitigation",
        "Vendor Advisory"
      ],
      "url": "https://github.com/Kozea/CairoSVG/security/advisories/GHSA-f38f-5xpm-9r7c"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-674"
        }
      ],
      "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.

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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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