GHSA-RPMR-9M52-WM2F

Vulnerability from github – Published: 2022-08-11 00:00 – Updated: 2022-08-17 00:00
VLAI
Details

An attacker may be able to execute malicious actions due to the lack of device access protections and device permissions when using the web application. This could lead to uploading python files which can be later executed.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2022-2634"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-250"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-08-10T20:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "An attacker may be able to execute malicious actions due to the lack of device access protections and device permissions when using the web application. This could lead to uploading python files which can be later executed.",
  "id": "GHSA-rpmr-9m52-wm2f",
  "modified": "2022-08-17T00:00:32Z",
  "published": "2022-08-11T00:00:17Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-2634"
    },
    {
      "type": "WEB",
      "url": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-216-01"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/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.
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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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