GHSA-JV7G-9G6Q-CXVW

Vulnerability from github – Published: 2022-01-27 14:04 – Updated: 2022-01-27 13:51
VLAI
Summary
Path Traversal in convert-svg packages
Details

This affects all versions of package convert-svg-core; all versions of package convert-svg-to-png; all versions of package convert-svg-to-jpeg. Using a specially crafted SVG file, an attacker could read arbitrary files from the file system and then show the file content as a converted PNG file.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "convert-svg-core"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "0.5.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "npm",
        "name": "convert-svg-to-png"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "0.5.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "package": {
        "ecosystem": "npm",
        "name": "convert-svg-to-jpeg"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "0.5.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-23631"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-22"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-01-24T23:06:09Z",
    "nvd_published_at": "2022-01-21T20:15:00Z",
    "severity": "HIGH"
  },
  "details": "This affects all versions of package convert-svg-core; all versions of package convert-svg-to-png; all versions of package convert-svg-to-jpeg. Using a specially crafted SVG file, an attacker could read arbitrary files from the file system and then show the file content as a converted PNG file.",
  "id": "GHSA-jv7g-9g6q-cxvw",
  "modified": "2022-01-27T13:51:45Z",
  "published": "2022-01-27T14:04:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-23631"
    },
    {
      "type": "WEB",
      "url": "https://gist.github.com/legndery/a248350bb25b8502a03c2f407cedeb14"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/neocotic/convert-svg"
    },
    {
      "type": "WEB",
      "url": "https://snyk.io/vuln/SNYK-JS-CONVERTSVGCORE-1582785"
    },
    {
      "type": "WEB",
      "url": "https://snyk.io/vuln/SNYK-JS-CONVERTSVGTOJPEG-2348245"
    },
    {
      "type": "WEB",
      "url": "https://snyk.io/vuln/SNYK-JS-CONVERTSVGTOPNG-2348244"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Path Traversal in convert-svg packages"
}



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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.
  • 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.
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  • 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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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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