PYSEC-2026-2233

Vulnerability from pysec - Published: 2026-03-24 20:16 - Updated: 2026-07-13 05:50
VLAI
Details

NiceGUI is a Python-based UI framework. Prior to version 3.9.0, NiceGUI's app.add_media_file() and app.add_media_files() media routes accept a user-controlled query parameter that influences how files are read during streaming. The parameter is passed to the range-response implementation without validation, allowing an attacker to bypass chunked streaming and force the server to load entire files into memory at once. With large media files and concurrent requests, this can lead to excessive memory consumption, degraded performance, or denial of service. This issue has been patched in version 3.9.0.

Impacted products
Name purl
nicegui pkg:pypi/nicegui

{
  "affected": [
    {
      "ecosystem_specific": {},
      "package": {
        "ecosystem": "PyPI",
        "name": "nicegui",
        "purl": "pkg:pypi/nicegui"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.9.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.1.0",
        "0.1.4",
        "0.1.6",
        "0.2.0",
        "0.2.1",
        "0.2.10",
        "0.2.11",
        "0.2.12",
        "0.2.13",
        "0.2.14",
        "0.2.15",
        "0.2.2",
        "0.2.3",
        "0.2.4",
        "0.2.9",
        "0.3.0",
        "0.3.1",
        "0.3.2",
        "0.3.3",
        "0.3.4",
        "0.3.5",
        "0.3.6",
        "0.3.7",
        "0.3.8",
        "0.3.9",
        "0.4.0",
        "0.4.1",
        "0.4.10",
        "0.4.11",
        "0.4.12",
        "0.4.13",
        "0.4.14",
        "0.4.15",
        "0.4.2",
        "0.4.3",
        "0.4.4",
        "0.4.5",
        "0.4.6",
        "0.4.7",
        "0.4.8",
        "0.4.9",
        "0.5.0",
        "0.5.1",
        "0.5.10",
        "0.5.11",
        "0.5.12",
        "0.5.2",
        "0.5.3",
        "0.5.4",
        "0.5.5",
        "0.5.6",
        "0.5.7",
        "0.5.8",
        "0.5.9",
        "0.6.0",
        "0.6.1",
        "0.6.10",
        "0.6.11",
        "0.6.12",
        "0.6.13",
        "0.6.2",
        "0.6.3",
        "0.6.4",
        "0.6.5",
        "0.6.6",
        "0.6.7",
        "0.6.8",
        "0.6.9",
        "0.7.0",
        "0.7.1",
        "0.7.10",
        "0.7.11",
        "0.7.12",
        "0.7.13",
        "0.7.14",
        "0.7.15",
        "0.7.16",
        "0.7.17",
        "0.7.18",
        "0.7.19",
        "0.7.2",
        "0.7.21",
        "0.7.22",
        "0.7.23",
        "0.7.24",
        "0.7.25",
        "0.7.26",
        "0.7.27",
        "0.7.28",
        "0.7.29",
        "0.7.3",
        "0.7.30",
        "0.7.4",
        "0.7.6",
        "0.7.7",
        "0.7.8",
        "0.7.9",
        "0.8.0",
        "0.8.1",
        "0.8.10",
        "0.8.11",
        "0.8.12",
        "0.8.13",
        "0.8.14",
        "0.8.15",
        "0.8.16",
        "0.8.2",
        "0.8.3",
        "0.8.4",
        "0.8.5",
        "0.8.6",
        "0.8.7",
        "0.8.8",
        "0.8.9",
        "0.9.0",
        "0.9.1",
        "0.9.10",
        "0.9.11",
        "0.9.12",
        "0.9.13",
        "0.9.14",
        "0.9.15",
        "0.9.16",
        "0.9.17",
        "0.9.18",
        "0.9.19",
        "0.9.2",
        "0.9.20",
        "0.9.21",
        "0.9.22",
        "0.9.23",
        "0.9.24",
        "0.9.25",
        "0.9.26",
        "0.9.27",
        "0.9.28",
        "0.9.3",
        "0.9.4",
        "0.9.5",
        "0.9.6",
        "0.9.7",
        "0.9.8",
        "0.9.9",
        "1.0.1",
        "1.0.10",
        "1.0.2",
        "1.0.3",
        "1.0.4",
        "1.0.5",
        "1.0.6",
        "1.0.7",
        "1.0.8",
        "1.0.9",
        "1.1.0",
        "1.1.1",
        "1.1.10",
        "1.1.11",
        "1.1.2",
        "1.1.3",
        "1.1.4",
        "1.1.5",
        "1.1.6",
        "1.1.7",
        "1.1.8",
        "1.1.9",
        "1.2.0",
        "1.2.1",
        "1.2.10",
        "1.2.11",
        "1.2.12",
        "1.2.13",
        "1.2.14",
        "1.2.15",
        "1.2.16",
        "1.2.17",
        "1.2.18",
        "1.2.2",
        "1.2.20",
        "1.2.21",
        "1.2.22",
        "1.2.23",
        "1.2.24",
        "1.2.3",
        "1.2.4",
        "1.2.5",
        "1.2.6",
        "1.2.7",
        "1.2.8",
        "1.2.9",
        "1.3.0",
        "1.3.1",
        "1.3.10",
        "1.3.11",
        "1.3.12",
        "1.3.13",
        "1.3.14",
        "1.3.15",
        "1.3.16",
        "1.3.17",
        "1.3.18",
        "1.3.2",
        "1.3.3",
        "1.3.4",
        "1.3.5",
        "1.3.6",
        "1.3.7",
        "1.3.8",
        "1.3.9",
        "1.4.0",
        "1.4.1",
        "1.4.10",
        "1.4.11",
        "1.4.12",
        "1.4.13",
        "1.4.14",
        "1.4.15",
        "1.4.16",
        "1.4.17",
        "1.4.18",
        "1.4.19",
        "1.4.2",
        "1.4.20",
        "1.4.21",
        "1.4.22",
        "1.4.23",
        "1.4.24",
        "1.4.25",
        "1.4.26",
        "1.4.27",
        "1.4.28",
        "1.4.29",
        "1.4.3",
        "1.4.30",
        "1.4.31",
        "1.4.33",
        "1.4.34",
        "1.4.35",
        "1.4.36",
        "1.4.37",
        "1.4.4",
        "1.4.5",
        "1.4.6",
        "1.4.7",
        "1.4.8",
        "1.4.9",
        "2.0.0",
        "2.0.1",
        "2.1.0",
        "2.10.0",
        "2.10.1",
        "2.11.0",
        "2.11.1",
        "2.12.0",
        "2.12.1",
        "2.13.0",
        "2.14.0",
        "2.14.1",
        "2.15.0",
        "2.16.0",
        "2.16.1",
        "2.17.0",
        "2.18.0",
        "2.19.0",
        "2.2.0",
        "2.20.0",
        "2.21.0",
        "2.21.1",
        "2.22.0",
        "2.22.1",
        "2.22.2",
        "2.23.0",
        "2.23.1",
        "2.23.2",
        "2.23.3",
        "2.24.0",
        "2.24.1",
        "2.24.2",
        "2.3.0",
        "2.4.0",
        "2.5.0",
        "2.7.0",
        "2.8.0",
        "2.8.1",
        "2.9.0",
        "2.9.1",
        "3.0.0",
        "3.0.0rc1",
        "3.0.1",
        "3.0.2",
        "3.0.3",
        "3.0.4",
        "3.1.0",
        "3.2.0",
        "3.3.0",
        "3.3.1",
        "3.4.0",
        "3.4.1",
        "3.5.0",
        "3.6.0",
        "3.6.1",
        "3.7.0",
        "3.7.1",
        "3.8.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-33332",
    "GHSA-w5g8-5849-vj76"
  ],
  "details": "NiceGUI is a Python-based UI framework. Prior to version 3.9.0, NiceGUI\u0027s app.add_media_file() and app.add_media_files() media routes accept a user-controlled query parameter that influences how files are read during streaming. The parameter is passed to the range-response implementation without validation, allowing an attacker to bypass chunked streaming and force the server to load entire files into memory at once. With large media files and concurrent requests, this can lead to excessive memory consumption, degraded performance, or denial of service. This issue has been patched in version 3.9.0.",
  "id": "PYSEC-2026-2233",
  "modified": "2026-07-13T05:50:14.966367Z",
  "published": "2026-03-24T20:16:28.743Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/zauberzeug/nicegui/releases/tag/v3.9.0"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/zauberzeug/nicegui/security/advisories/GHSA-w5g8-5849-vj76"
    },
    {
      "type": "FIX",
      "url": "https://github.com/zauberzeug/nicegui/commit/9026962b8c4f3f225c98b2fbc35aa6b60cb3495b"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "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…

Detection rules are retrieved from Rulezet.

Loading…

Loading…