GHSA-M3G4-7856-HF77

Vulnerability from github – Published: 2022-05-14 01:58 – Updated: 2022-05-14 01:58
VLAI
Details

For some Iomega, Lenovo, LenovoEMC NAS devices versions 4.1.402.34662 and earlier, the file name used for assets accessible through the Content Viewer application are vulnerable to self cross-site scripting self-XSS. As a result, adversaries can add files to shares accessible from the Content Viewer with a cross site scripting payload in its name, and wait for a user to try and rename the file for their payload to trigger.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-9081"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-09-28T20:29:00Z",
    "severity": "MODERATE"
  },
  "details": "For some Iomega, Lenovo, LenovoEMC NAS devices versions 4.1.402.34662 and earlier, the file name used for assets accessible through the Content Viewer application are vulnerable to self cross-site scripting self-XSS. As a result, adversaries can add files to shares accessible from the Content Viewer with a cross site scripting payload in its name, and wait for a user to try and rename the file for their payload to trigger.",
  "id": "GHSA-m3g4-7856-hf77",
  "modified": "2022-05-14T01:58:24Z",
  "published": "2022-05-14T01:58:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-9081"
    },
    {
      "type": "WEB",
      "url": "https://support.lenovo.com/us/en/solutions/LEN-24224"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:C/C:L/I:L/A:N",
      "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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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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