GHSA-JMHJ-VH4Q-HHMQ

Vulnerability from github – Published: 2022-05-03 03:47 – Updated: 2022-05-26 19:39
VLAI
Summary
tkvideo has a memory issue in playing videos
Details

Huge memory consumption even when playing small files. This issue has been patched in 2.0.0. Please upgrade to version 2.0.0 or above.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "tkvideoplayer"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.0.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-24902"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-05-03T03:47:34Z",
    "nvd_published_at": "2022-05-06T00:15:00Z",
    "severity": "MODERATE"
  },
  "details": "Huge memory consumption even when playing small files. This issue has been patched in 2.0.0. Please upgrade to version 2.0.0 or above.",
  "id": "GHSA-jmhj-vh4q-hhmq",
  "modified": "2022-05-26T19:39:51Z",
  "published": "2022-05-03T03:47:34Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/PaulleDemon/tkVideoPlayer/security/advisories/GHSA-jmhj-vh4q-hhmq"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-24902"
    },
    {
      "type": "WEB",
      "url": "https://github.com/PaulleDemon/tkVideoPlayer/issues/3"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/PaulleDemon/tkVideoPlayer/issues"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tkvideoplayer/PYSEC-2022-187.yaml"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
      "type": "CVSS_V3"
    }
  ],
  "summary": "tkvideo has a memory issue in playing videos"
}



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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

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