GHSA-J3VV-RF4J-CPPG

Vulnerability from github – Published: 2022-05-14 03:20 – Updated: 2022-05-14 03:20
VLAI
Details

partclone.restore in Partclone 0.2.87 is prone to a heap-based buffer overflow vulnerability due to insufficient validation of the partclone image header. An attacker may be able to execute arbitrary code in the context of the user running the affected application.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2016-10721"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-05-02T23:29:00Z",
    "severity": "CRITICAL"
  },
  "details": "partclone.restore in Partclone 0.2.87 is prone to a heap-based buffer overflow vulnerability due to insufficient validation of the partclone image header. An attacker may be able to execute arbitrary code in the context of the user running the affected application.",
  "id": "GHSA-j3vv-rf4j-cppg",
  "modified": "2022-05-14T03:20:18Z",
  "published": "2022-05-14T03:20:18Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2016-10721"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Thomas-Tsai/partclone/issues/82"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/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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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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