GHSA-G9V6-6343-CXW5

Vulnerability from github – Published: 2023-12-18 18:30 – Updated: 2023-12-18 18:30
VLAI
Details

Cross-site Scripting (XSS) - Stored in GitHub repository allegroai/clearml-server prior to 1.13.0. This vulnerability affects the ClearML Open Source Server which is not designed to be used as a publicly available service. Security recommendations stress it should be placed behind a company firewall or VPN. This vulnerability only affects users within the same organisation (I.e when a malicious party already has access to the internal network and to a user's ClearML login credentials).

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-6778"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-12-18T15:15:10Z",
    "severity": "HIGH"
  },
  "details": "Cross-site Scripting (XSS) - Stored in GitHub repository allegroai/clearml-server prior to 1.13.0. This vulnerability affects the ClearML Open Source Server which is not designed to be used as a publicly available service. Security recommendations stress it should be placed behind a company firewall or VPN. This vulnerability only affects users within the same organisation (I.e when a malicious party already has access to the internal network and to a user\u0027s ClearML login credentials).",
  "id": "GHSA-g9v6-6343-cxw5",
  "modified": "2023-12-18T18:30:21Z",
  "published": "2023-12-18T18:30:21Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-6778"
    },
    {
      "type": "WEB",
      "url": "https://github.com/allegroai/clearml-server/commit/4684fd5b74af582c894b67a0a06e865c948b763a"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/5f3fffac-0358-48e6-a500-81bac13e0e2b"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
      "type": "CVSS_V3"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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

Author Source Type Date Other

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.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Loading…

Loading…

Loading…

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.


Loading…