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FKIE_CVE-2026-35397

Vulnerability from fkie_nvd - Published: 2026-05-05 20:16 - Updated: 2026-08-28 16:17
Summary
Jupyter Server is the backend for Jupyter web applications. In versions 2.17.0 and earlier, a path traversal vulnerability in the REST API allows an authenticated user to escape the configured root_dir and access sibling directories whose names begin with the same prefix as the root_dir. For example, with a root_dir named "test", the API permits access to a sibling directory named "testtest" through a crafted request to the /api/contents endpoint using encoded path components. An attacker can read, write, and delete files in affected sibling directories. Multi-tenant deployments using predictable naming schemes are particularly at risk, as a user with a directory named "user1" could access directories for user10 through user19 and beyond. A user who can choose a single-character folder name could gain access to a significant number of sibling directories. Version 2.18.0 contains a fix. As a workaround, ensure folder names do not share a common prefix with any sibling directory.
Impacted products
Vendor Product Version
jupyter jupyter_server *

{
  "affected": [
    {
      "affectedData": [
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          "product": "jupyter_server",
          "vendor": "jupyter-server",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 2.18.0"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    },
    {
      "affectedData": [
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          "cpes": [
            "cpe:/a:redhat:migration_toolkit_applications:8.2::el9"
          ],
          "defaultStatus": "affected",
          "packageName": "mta/mta-solution-server-rhel9",
          "product": "Red Hat Migration Toolkit for Applications 8.2",
          "vendor": "Red Hat",
          "versions": [
            {
              "lessThan": "*",
              "status": "unaffected",
              "version": "1784109883",
              "versionType": "rpm"
            }
          ]
        },
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          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai:3.4::el9"
          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-th06-cpu-torch210-py312-rhel9",
          "product": "Red Hat OpenShift AI 3.4",
          "vendor": "Red Hat",
          "versions": [
            {
              "lessThan": "*",
              "status": "unaffected",
              "version": "1787076778",
              "versionType": "rpm"
            }
          ]
        },
        {
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai:3.4::el9"
          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-th06-cuda130-torch210-py312-rhel9",
          "product": "Red Hat OpenShift AI 3.4",
          "vendor": "Red Hat",
          "versions": [
            {
              "lessThan": "*",
              "status": "unaffected",
              "version": "1787077779",
              "versionType": "rpm"
            }
          ]
        },
        {
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "cpes": [
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              "versionType": "rpm"
            }
          ]
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          "cpes": [
            "cpe:/a:redhat:openshift_ai:3.4::el9"
          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9",
          "product": "Red Hat OpenShift AI 3.4",
          "vendor": "Red Hat",
          "versions": [
            {
              "lessThan": "*",
              "status": "unaffected",
              "version": "1787074331",
              "versionType": "rpm"
            }
          ]
        },
        {
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          "cpes": [
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          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9",
          "product": "Red Hat OpenShift AI 3.4",
          "vendor": "Red Hat",
          "versions": [
            {
              "lessThan": "*",
              "status": "unaffected",
              "version": "1787073913",
              "versionType": "rpm"
            }
          ]
        },
        {
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai:3.4::el9"
          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9",
          "product": "Red Hat OpenShift AI 3.4",
          "vendor": "Red Hat",
          "versions": [
            {
              "lessThan": "*",
              "status": "unaffected",
              "version": "1787074078",
              "versionType": "rpm"
            }
          ]
        },
        {
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai:3.4::el9"
          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9",
          "product": "Red Hat OpenShift AI 3.4",
          "vendor": "Red Hat",
          "versions": [
            {
              "lessThan": "*",
              "status": "unaffected",
              "version": "1787073929",
              "versionType": "rpm"
            }
          ]
        },
        {
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai:3.4::el9"
          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9",
          "product": "Red Hat OpenShift AI 3.4",
          "vendor": "Red Hat",
          "versions": [
            {
              "lessThan": "*",
              "status": "unaffected",
              "version": "1787073605",
              "versionType": "rpm"
            }
          ]
        },
        {
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai:3.4::el9"
          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9",
          "product": "Red Hat OpenShift AI 3.4",
          "vendor": "Red Hat",
          "versions": [
            {
              "lessThan": "*",
              "status": "unaffected",
              "version": "1787073546",
              "versionType": "rpm"
            }
          ]
        },
        {
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai:3.4::el9"
          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9",
          "product": "Red Hat OpenShift AI 3.4",
          "vendor": "Red Hat",
          "versions": [
            {
              "lessThan": "*",
              "status": "unaffected",
              "version": "1787073717",
              "versionType": "rpm"
            }
          ]
        },
        {
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai:3.4::el9"
          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9",
          "product": "Red Hat OpenShift AI 3.4",
          "vendor": "Red Hat",
          "versions": [
            {
              "lessThan": "*",
              "status": "unaffected",
              "version": "1787073713",
              "versionType": "rpm"
            }
          ]
        },
        {
          "collectionURL": "https://catalog.redhat.com/software/containers/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai:3.4::el9"
          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9",
          "product": "Red Hat OpenShift AI 3.4",
          "vendor": "Red Hat",
          "versions": [
            {
              "lessThan": "*",
              "status": "unaffected",
              "version": "1787073593",
              "versionType": "rpm"
            }
          ]
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai"
          ],
          "defaultStatus": "unaffected",
          "packageName": "rhoai/odh-th06-cpu-torch291-py312-rhel9",
          "product": "Red Hat OpenShift AI (RHOAI)",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai"
          ],
          "defaultStatus": "unaffected",
          "packageName": "rhoai/odh-th06-cuda130-torch291-py312-rhel9",
          "product": "Red Hat OpenShift AI (RHOAI)",
          "vendor": "Red Hat"
        },
        {
          "collectionURL": "https://access.redhat.com/downloads/content/package-browser/",
          "cpes": [
            "cpe:/a:redhat:openshift_ai"
          ],
          "defaultStatus": "affected",
          "packageName": "rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9",
          "product": "Red Hat OpenShift AI (RHOAI)",
          "vendor": "Red Hat"
        }
      ],
      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:jupyter:jupyter_server:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "E0B6C703-7E28-4F23-9878-E157975C32A4",
              "versionEndExcluding": "2.18.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Jupyter Server is the backend for Jupyter web applications. In versions 2.17.0 and earlier, a path traversal vulnerability in the REST API allows an authenticated user to escape the configured root_dir and access sibling directories whose names begin with the same prefix as the root_dir. For example, with a root_dir named \"test\", the API permits access to a sibling directory named \"testtest\" through a crafted request to the /api/contents endpoint using encoded path components. An attacker can read, write, and delete files in affected sibling directories. Multi-tenant deployments using predictable naming schemes are particularly at risk, as a user with a directory named \"user1\" could access directories for user10 through user19 and beyond. A user who can choose a single-character folder name could gain access to a significant number of sibling directories. \n\nVersion 2.18.0 contains a fix. As a workaround, ensure folder names do not share a common prefix with any sibling directory."
    },
    {
      "lang": "es",
      "value": "Jupyter Server es el backend para las aplicaciones web de Jupyter. En las versiones 2.17.0 y anteriores, una vulnerabilidad de salto de ruta en la API REST permite a un usuario autenticado escapar del \u0027root_dir\u0027 configurado y acceder a directorios hermanos cuyos nombres comienzan con el mismo prefijo que el \u0027root_dir\u0027. Por ejemplo, con un \u0027root_dir\u0027 llamado  test , la API permite el acceso a un directorio hermano llamado  testtest  a trav\u00e9s de una solicitud manipulada al endpoint \u0027/api/contents\u0027 utilizando componentes de ruta codificados. Un atacante puede leer, escribir y eliminar archivos en los directorios hermanos afectados. Las implementaciones multi-inquilino que utilizan esquemas de nombres predecibles est\u00e1n particularmente en riesgo, ya que un usuario con un directorio llamado  user1  podr\u00eda acceder a los directorios de user10 a user19 y m\u00e1s all\u00e1. Un usuario que puede elegir un nombre de carpeta de un solo car\u00e1cter podr\u00eda obtener acceso a un n\u00famero significativo de directorios hermanos.\n\nLa versi\u00f3n 2.18.0 contiene una correcci\u00f3n. Como soluci\u00f3n alternativa, aseg\u00farese de que los nombres de las carpetas no compartan un prefijo com\u00fan con ning\u00fan directorio hermano."
    }
  ],
  "id": "CVE-2026-35397",
  "lastModified": "2026-08-28T16:17:45.870",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      },
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "LOW",
          "baseScore": 7.1,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:L",
          "version": "3.1"
        },
        "exploitabilityScore": 1.6,
        "impactScore": 5.5,
        "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
        "type": "Secondary"
      }
    ],
    "cvssMetricV40": [
      {
        "cvssData": {
          "Automatable": "NOT_DEFINED",
          "Recovery": "NOT_DEFINED",
          "Safety": "NOT_DEFINED",
          "attackComplexity": "LOW",
          "attackRequirements": "PRESENT",
          "attackVector": "NETWORK",
          "availabilityRequirement": "NOT_DEFINED",
          "baseScore": 7.6,
          "baseSeverity": "HIGH",
          "confidentialityRequirement": "NOT_DEFINED",
          "exploitMaturity": "NOT_DEFINED",
          "integrityRequirement": "NOT_DEFINED",
          "modifiedAttackComplexity": "NOT_DEFINED",
          "modifiedAttackRequirements": "NOT_DEFINED",
          "modifiedAttackVector": "NOT_DEFINED",
          "modifiedPrivilegesRequired": "NOT_DEFINED",
          "modifiedSubAvailabilityImpact": "NOT_DEFINED",
          "modifiedSubConfidentialityImpact": "NOT_DEFINED",
          "modifiedSubIntegrityImpact": "NOT_DEFINED",
          "modifiedUserInteraction": "NOT_DEFINED",
          "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
          "modifiedVulnConfidentialityImpact": "NOT_DEFINED",
          "modifiedVulnIntegrityImpact": "NOT_DEFINED",
          "privilegesRequired": "LOW",
          "providerUrgency": "NOT_DEFINED",
          "subAvailabilityImpact": "NONE",
          "subConfidentialityImpact": "NONE",
          "subIntegrityImpact": "NONE",
          "userInteraction": "NONE",
          "valueDensity": "NOT_DEFINED",
          "vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
          "version": "4.0",
          "vulnAvailabilityImpact": "LOW",
          "vulnConfidentialityImpact": "HIGH",
          "vulnIntegrityImpact": "HIGH",
          "vulnerabilityResponseEffort": "NOT_DEFINED"
        },
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
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        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
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          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-05-06T00:00:00+00:00",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-05-05T20:16:38.223",
  "references": [
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      "source": "security-advisories@github.com",
      "tags": [
        "Exploit",
        "Vendor Advisory"
      ],
      "url": "https://github.com/jupyter-server/jupyter_server/security/advisories/GHSA-5789-5fc7-67v3"
    },
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      "url": "https://access.redhat.com/errata/RHSA-2026:43038"
    },
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      "tags": [
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    },
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      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-35397.json"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
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          "lang": "en",
          "value": "CWE-22"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
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          "value": "CWE-22"
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      "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c",
      "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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