GHSA-HG5M-3GG2-HQ52

Vulnerability from github – Published: 2022-05-17 05:16 – Updated: 2022-05-17 05:16
VLAI
Details

content/renderer/media/webrtc_audio_renderer.cc in Google Chrome before 24.0.1312.56 on Mac OS X does not use an appropriate buffer size for the 96 kHz sampling rate, which allows remote attackers to cause a denial of service (memory corruption and application crash) or possibly have unspecified other impact via a web site that provides WebRTC audio.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2013-0843"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2013-01-24T21:55:00Z",
    "severity": "HIGH"
  },
  "details": "content/renderer/media/webrtc_audio_renderer.cc in Google Chrome before 24.0.1312.56 on Mac OS X does not use an appropriate buffer size for the 96 kHz sampling rate, which allows remote attackers to cause a denial of service (memory corruption and application crash) or possibly have unspecified other impact via a web site that provides WebRTC audio.",
  "id": "GHSA-hg5m-3gg2-hq52",
  "modified": "2022-05-17T05:16:11Z",
  "published": "2022-05-17T05:16:11Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2013-0843"
    },
    {
      "type": "WEB",
      "url": "https://code.google.com/p/chromium/issues/detail?id=166523"
    },
    {
      "type": "WEB",
      "url": "https://codereview.chromium.org/11773017"
    },
    {
      "type": "WEB",
      "url": "http://googlechromereleases.blogspot.com/2013/01/stable-channel-update_22.html"
    },
    {
      "type": "WEB",
      "url": "http://src.chromium.org/viewvc/chrome/trunk/src/content/renderer/media/webrtc_audio_renderer.cc?r1=175323\u0026r2=175322\u0026pathrev=175323"
    },
    {
      "type": "WEB",
      "url": "http://src.chromium.org/viewvc/chrome?view=rev\u0026revision=175323"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}



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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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