FKIE_CVE-2022-41710

Vulnerability from fkie_nvd - Published: 2022-11-03 20:15 - Updated: 2026-06-17 05:03
Severity
5.5 (Medium) - CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
5.5 (Medium) - CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
Summary
Markdownify version 1.4.1 allows an external attacker to remotely obtain arbitrary local files on any client that attempts to view a malicious markdown file through Markdownify. This is possible because the application does not have a CSP policy (or at least not strict enough) and/or does not properly validate the contents of markdown files before rendering them.
References
help@fluidattacks.comhttps://fluidattacks.com/advisories/noisestorm/Exploit, Third Party Advisory
help@fluidattacks.comhttps://github.com/amitmerchant1990/electron-markdownifyProduct, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://fluidattacks.com/advisories/noisestorm/Exploit, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://github.com/amitmerchant1990/electron-markdownifyProduct, Third Party Advisory
Impacted products
Vendor Product Version
markdownify_project markdownify 1.4.1
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "Markdownify",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "1.4.1"
            }
          ]
        }
      ],
      "source": "help@fluidattacks.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:markdownify_project:markdownify:1.4.1:*:*:*:*:*:*:*",
              "matchCriteriaId": "1D9AE5BF-9687-42C3-A6A0-A894817CD36A",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Markdownify version 1.4.1 allows an external attacker to remotely obtain arbitrary local files on any client that attempts to view a malicious markdown file through Markdownify. This is possible because the application does not have a CSP policy (or at least not strict enough) and/or does not properly validate the contents of markdown files before rendering them."
    },
    {
      "lang": "es",
      "value": "Markdownify versi\u00f3n 1.4.1 permite a un atacante externo obtener de forma remota archivos locales arbitrarios en cualquier cliente que intente ver un archivo de Markdown malicioso a trav\u00e9s de Markdownify. Esto es posible porque la aplicaci\u00f3n no tiene una pol\u00edtica CSP (o al menos no es lo suficientemente estricta) y/o no valida adecuadamente el contenido de los archivos Markdown antes de renderizarlos."
    }
  ],
  "id": "CVE-2022-41710",
  "lastModified": "2026-06-17T05:03:41.163",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "NONE",
          "baseScore": 5.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "NONE",
          "baseScore": 5.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 3.6,
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2022-41710",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-05-05T13:25:18.688681Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2022-11-03T20:15:31.567",
  "references": [
    {
      "source": "help@fluidattacks.com",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://fluidattacks.com/advisories/noisestorm/"
    },
    {
      "source": "help@fluidattacks.com",
      "tags": [
        "Product",
        "Third Party Advisory"
      ],
      "url": "https://github.com/amitmerchant1990/electron-markdownify"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://fluidattacks.com/advisories/noisestorm/"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Product",
        "Third Party Advisory"
      ],
      "url": "https://github.com/amitmerchant1990/electron-markdownify"
    }
  ],
  "sourceIdentifier": "help@fluidattacks.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-552"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-552"
        }
      ],
      "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.

Sightings

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  • 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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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.