CVE-2026-73627 (GCVE-0-2026-73627)

Vulnerability from cvelistv5 – Published: 2026-08-13 11:28 – Updated: 2026-08-15 03:13
VLAI
Title
JupyterLab 4.6.0 Plugin Manager Lock-Rule Enforcement Bypass
Summary
JupyterLab (pip package 'jupyterlab') versions >=4.1.0,<=4.5.9 and >=4.6.0,<=4.6.1 contain a plugin manager lock-rule enforcement bypass. Two server-side enforcement gaps allow an authenticated user to circumvent administrator lock rules by making direct requests to the /lab/api/plugins endpoint, enabling or disabling plugins that were locked — including child plugins of multi-plugin extensions and plugins locked via the 'lock all' mechanism. This can impact data integrity and bypass hardening or restrictions (e.g., download/upload limits) implemented through locked plugins. Fixed in versions 4.6.2 and 4.5.10.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-15 03:13 UTC
CWE
  • CWE-602 - Client-Side Enforcement of Server-Side Security
References
Impacted products
Vendor Product Version CPE status
jupyterlab jupyterlab Unaffected: 0 , < 4.6.0 (semver)
guessed Create a notification for this product.
jupyterlab jupyterlab Unaffected: 0 , < 4.1.0 (semver)
guessed Create a notification for this product.
Date Public
2026-07-21 00:00
Show details on NVD website

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                  "description": "Client-Side Enforcement of Server-Side Security",
                  "lang": "en",
                  "type": "CWE"
                }
              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2026-08-13T11:28:26.249Z",
            "orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
            "shortName": "VulnCheck"
          },
          "references": [
            {
              "name": "GitHub Security Advisory (GHSA-h5v5-8746-g7mm)",
              "tags": [
                "vendor-advisory"
              ],
              "url": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-h5v5-8746-g7mm"
            },
            {
              "name": "VulnCheck Advisory: JupyterLab 4.6.0 Plugin Manager Lock-Rule Enforcement Bypass",
              "tags": [
                "third-party-advisory"
              ],
              "url": "https://www.vulncheck.com/advisories/jupyterlab-plugin-manager-lock-rule-enforcement-bypass"
            }
          ],
          "title": "JupyterLab 4.6.0 Plugin Manager Lock-Rule Enforcement Bypass",
          "x_generator": {
            "engine": "vulncheck-endgame"
          }
        }
      },
      "cveMetadata": {
        "assignerOrgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
        "assignerShortName": "VulnCheck",
        "cveId": "CVE-2026-73627",
        "datePublished": "2026-08-13T11:28:26.249Z",
        "dateReserved": "2026-08-13T11:17:25.160Z",
        "dateUpdated": "2026-08-15T03:13:40.300Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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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.

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.

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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.


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