FKIE_CVE-2024-28188

Vulnerability from fkie_nvd - Published: 2024-05-23 12:15 - Updated: 2026-06-17 07:21
Severity
5.3 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Summary
Jupyter Scheduler is collection of extensions for programming jobs to run now or run on a schedule. The list of conda environments of `jupyter-scheduler` users maybe be exposed, potentially revealing information about projects that a specific user may be working on. This vulnerability has been patched in version(s) 1.1.6, 1.2.1, 1.8.2 and 2.5.2.
References
security-advisories@github.comhttps://github.com/jupyter-server/jupyter-scheduler/security/advisories/GHSA-v9g2-g7j4-4jxc
security-advisories@github.comhttps://github.com/jupyter-server/jupyter_server/pull/1392
af854a3a-2127-422b-91ae-364da2661108https://github.com/jupyter-server/jupyter-scheduler/security/advisories/GHSA-v9g2-g7j4-4jxc
af854a3a-2127-422b-91ae-364da2661108https://github.com/jupyter-server/jupyter_server/pull/1392
Impacted products
Vendor Product Version
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "jupyter-scheduler",
          "vendor": "jupyter-server",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 1.0.0, \u003c= 1.1.5"
            },
            {
              "status": "affected",
              "version": "= 1.2.0"
            },
            {
              "status": "affected",
              "version": "\u003e= 1.3.0, \u003c= 1.8.1"
            },
            {
              "status": "affected",
              "version": "\u003e= 2.0.0, \u003c= 2.5.1"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    },
    {
      "affectedData": [
        {
          "cpes": [
            "cpe:2.3:a:jupyter:scheduler:1.0.0:*:*:*:*:*:*:*"
          ],
          "defaultStatus": "affected",
          "product": "scheduler",
          "vendor": "jupyter",
          "versions": [
            {
              "lessThanOrEqual": "1.1.5",
              "status": "affected",
              "version": "1.0.0",
              "versionType": "custom"
            },
            {
              "status": "affected",
              "version": "1.2.0"
            },
            {
              "lessThanOrEqual": "1.8.1",
              "status": "affected",
              "version": "1.3.0",
              "versionType": "custom"
            },
            {
              "lessThanOrEqual": "2.5.1",
              "status": "affected",
              "version": "2.0.0",
              "versionType": "custom"
            }
          ]
        }
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Jupyter Scheduler is collection of extensions for programming jobs to run now or run on a schedule. The list of conda environments of `jupyter-scheduler` users maybe be exposed, potentially revealing information about projects that a specific user may be working on. This vulnerability has been patched in version(s) 1.1.6, 1.2.1, 1.8.2 and 2.5.2."
    },
    {
      "lang": "es",
      "value": "Jupyter Scheduler es una colecci\u00f3n de extensiones para que los trabajos de programaci\u00f3n se ejecuten ahora o seg\u00fan una programaci\u00f3n. La lista de entornos conda de los usuarios de \"jupyter-scheduler\" puede quedar expuesta, lo que podr\u00eda revelar informaci\u00f3n sobre proyectos en los que un usuario espec\u00edfico puede estar trabajando. Esta vulnerabilidad ha sido parcheada en las versiones 1.1.6, 1.2.1, 1.8.2 y 2.5.2."
    }
  ],
  "id": "CVE-2024-28188",
  "lastModified": "2026-06-17T07:21:10.200",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 5.3,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 1.4,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2024-28188",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2024-05-23T15:05:53.639105Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2024-05-23T12:15:10.167",
  "references": [
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/jupyter-server/jupyter-scheduler/security/advisories/GHSA-v9g2-g7j4-4jxc"
    },
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/jupyter-server/jupyter_server/pull/1392"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "url": "https://github.com/jupyter-server/jupyter-scheduler/security/advisories/GHSA-v9g2-g7j4-4jxc"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "url": "https://github.com/jupyter-server/jupyter_server/pull/1392"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-200"
        },
        {
          "lang": "en",
          "value": "CWE-287"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}



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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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  • 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 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.



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