GHSA-MW69-V2CV-29WW

Vulnerability from github – Published: 2022-05-24 16:45 – Updated: 2024-04-04 00:39
VLAI
Details

nanosvg library nanosvg after commit c1f6e209c16b18b46aa9f45d7e619acf42c29726 is affected by: Buffer Overflow. The impact is: Memory corruption leading to at least DoS. More severe impact vectors need more investigation. The component is: it's part of a svg processing library. function nsvg__parseColorRGB in src/nanosvg.h / line 1227. The attack vector is: It depends library usage. If input is passed from the network, then network connectivity is enough. Most likely an attack will require opening a specially crafted .svg file.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-1010258"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-05-15T18:29:00Z",
    "severity": "MODERATE"
  },
  "details": "nanosvg library nanosvg after commit c1f6e209c16b18b46aa9f45d7e619acf42c29726 is affected by: Buffer Overflow. The impact is: Memory corruption leading to at least DoS. More severe impact vectors need more investigation. The component is: it\u0027s part of a svg processing library. function nsvg__parseColorRGB in src/nanosvg.h / line 1227. The attack vector is: It depends library usage. If input is passed from the network, then network connectivity is enough. Most likely an attack will require opening a specially crafted .svg file.",
  "id": "GHSA-mw69-v2cv-29ww",
  "modified": "2024-04-04T00:39:59Z",
  "published": "2022-05-24T16:45:45Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-1010258"
    },
    {
      "type": "WEB",
      "url": "https://github.com/memononen/nanosvg/issues/136"
    },
    {
      "type": "WEB",
      "url": "https://0day.work/cve-2019-1000032-memory-corruption-in-nanosvg"
    },
    {
      "type": "WEB",
      "url": "https://github.com/memononen/nanosvg"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}



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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.
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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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