GHSA-GF2C-93HM-R9J5

Vulnerability from github – Published: 2021-11-23 18:16 – Updated: 2021-11-22 18:42
VLAI
Summary
Cross-site Scripting in kimai2
Details

kimai2 is vulnerable to Cross-Site Request Forgery (CSRF) in deleting invoice templates. This vulnerability is capable of tricking admin user to delete invoice templates.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "Packagist",
        "name": "kevinpapst/kimai2"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.16"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2021-3963"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-352"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2021-11-22T18:42:37Z",
    "nvd_published_at": "2021-11-19T12:15:00Z",
    "severity": "MODERATE"
  },
  "details": "kimai2 is vulnerable to Cross-Site Request Forgery (CSRF) in deleting invoice templates. This vulnerability is capable of tricking admin user to delete invoice templates.",
  "id": "GHSA-gf2c-93hm-r9j5",
  "modified": "2021-11-22T18:42:37Z",
  "published": "2021-11-23T18:16:43Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-3963"
    },
    {
      "type": "WEB",
      "url": "https://github.com/kevinpapst/kimai2/commit/95796ab2560ad93f44068a88f0fad758c2053514"
    },
    {
      "type": "WEB",
      "url": "https://huntr.dev/bounties/3abf308b-7dbd-4864-b1a9-5c45b876def8"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Cross-site Scripting in kimai2"
}



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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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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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