{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2026-102831", "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "state": "PUBLISHED", "assignerShortName": "GitHub_M", "dateReserved": "2026-09-29T17:25:25.266Z", "datePublished": "2026-09-29T18:58:03.634Z", "dateUpdated": "2026-09-29T18:58:03.634Z"}, "containers": {"cna": {"title": "JupyterLab: Cross-site scripting (XSS) in JupyterLab via notebook cells pasted from the system clipboard", "problemTypes": [{"descriptions": [{"cweId": "CWE-79", "lang": "en", "description": "CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')", "type": "CWE"}]}, {"descriptions": [{"cweId": "CWE-345", "lang": "en", "description": "CWE-345: Insufficient Verification of Data Authenticity", "type": "CWE"}]}], "metrics": [{"cvssV3_1": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 8.1, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N", "version": "3.1"}}], "references": [{"name": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-6966-vjj6-99xv", "tags": ["x_refsource_CONFIRM"], "url": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-6966-vjj6-99xv"}, {"name": "https://github.com/jupyterlab/jupyterlab/commit/1a10a7da5ff655849b21581c2633b46483ae0be9", "tags": ["x_refsource_MISC"], "url": "https://github.com/jupyterlab/jupyterlab/commit/1a10a7da5ff655849b21581c2633b46483ae0be9"}, {"name": "https://github.com/jupyterlab/jupyterlab/commit/7f9f29e29e0c83fb17b0f11da57d06b3c6a40d96", "tags": ["x_refsource_MISC"], "url": "https://github.com/jupyterlab/jupyterlab/commit/7f9f29e29e0c83fb17b0f11da57d06b3c6a40d96"}, {"name": "https://github.com/jupyterlab/jupyterlab/commit/cf6e89a8d315c4134cefa50c220bca296da466a7", "tags": ["x_refsource_MISC"], "url": "https://github.com/jupyterlab/jupyterlab/commit/cf6e89a8d315c4134cefa50c220bca296da466a7"}, {"name": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.11", "tags": ["x_refsource_MISC"], "url": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.11"}, {"name": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.4", "tags": ["x_refsource_MISC"], "url": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.4"}], "affected": [{"vendor": "jupyterlab", "product": "jupyterlab", "versions": [{"version": ">= 4.5.0, < 4.5.11", "status": "affected"}, {"version": ">= 4.6.0, < 4.6.4", "status": "affected"}]}, {"vendor": "jupyterlab", "product": "notebook", "versions": [{"version": ">= 7.5.0, < 7.6.3", "status": "affected"}]}, {"vendor": "jupyterlab", "product": "jupyterlite-core", "versions": [{"version": ">= 0.7.0, < 0.8.4", "status": "affected"}]}], "providerMetadata": {"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa", "shortName": "GitHub_M", "dateUpdated": "2026-09-29T18:58:03.634Z"}, "descriptions": [{"lang": "en", "value": "JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.5.0 until 4.5.11 and 4.6.4, from Notebook 7.5.0 until 7.6.3, and from JupyterLite Core 0.7.0 until 0.8.4, the system clipboard cell-paste path accepts attacker-controlled cell JSON without clearing metadata.trusted. When useSystemClipboardForCells is active and pasteCodeCellsWithoutOutput is disabled, a pasted code cell can mark HTML output as trusted, bypass output sanitization, and execute script in the authenticated JupyterLab origin without executing the cell. Markdown and raw cells are not affected because their output is sanitized. This issue is fixed in JupyterLab 4.5.11 and 4.6.4, Notebook 7.6.3, and JupyterLite Core 0.8.4."}], "source": {"advisory": "GHSA-6966-vjj6-99xv", "discovery": "UNKNOWN"}}}}

{}

{"affected": [{"affectedData": [{"product": "jupyterlab", "vendor": "jupyterlab", "versions": [{"status": "affected", "version": ">= 4.5.0, < 4.5.11"}, {"status": "affected", "version": ">= 4.6.0, < 4.6.4"}]}, {"product": "notebook", "vendor": "jupyterlab", "versions": [{"status": "affected", "version": ">= 7.5.0, < 7.6.3"}]}, {"product": "jupyterlite-core", "vendor": "jupyterlab", "versions": [{"status": "affected", "version": ">= 0.7.0, < 0.8.4"}]}], "source": "security-advisories@github.com"}], "cveTags": [], "descriptions": [{"lang": "en", "value": "JupyterLab is an extensible environment for interactive and reproducible computing, based on the Jupyter Notebook Architecture. From JupyterLab 4.5.0 until 4.5.11 and 4.6.4, from Notebook 7.5.0 until 7.6.3, and from JupyterLite Core 0.7.0 until 0.8.4, the system clipboard cell-paste path accepts attacker-controlled cell JSON without clearing metadata.trusted. When useSystemClipboardForCells is active and pasteCodeCellsWithoutOutput is disabled, a pasted code cell can mark HTML output as trusted, bypass output sanitization, and execute script in the authenticated JupyterLab origin without executing the cell. Markdown and raw cells are not affected because their output is sanitized. This issue is fixed in JupyterLab 4.5.11 and 4.6.4, Notebook 7.6.3, and JupyterLite Core 0.8.4."}], "id": "CVE-2026-102831", "lastModified": "2026-09-30T19:38:27.293", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 8.1, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N", "version": "3.1"}, "exploitabilityScore": 2.8, "impactScore": 5.2, "source": "security-advisories@github.com", "type": "Secondary"}]}, "published": "2026-09-29T19:17:25.700", "references": [{"source": "security-advisories@github.com", "url": "https://github.com/jupyterlab/jupyterlab/commit/1a10a7da5ff655849b21581c2633b46483ae0be9"}, {"source": "security-advisories@github.com", "url": "https://github.com/jupyterlab/jupyterlab/commit/7f9f29e29e0c83fb17b0f11da57d06b3c6a40d96"}, {"source": "security-advisories@github.com", "url": "https://github.com/jupyterlab/jupyterlab/commit/cf6e89a8d315c4134cefa50c220bca296da466a7"}, {"source": "security-advisories@github.com", "url": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.11"}, {"source": "security-advisories@github.com", "url": "https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.4"}, {"source": "security-advisories@github.com", "url": "https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-6966-vjj6-99xv"}], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Awaiting Analysis", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-79"}, {"lang": "en", "value": "CWE-345"}], "source": "security-advisories@github.com", "type": "Primary"}]}

{"bugzilla": {"description": "jupyterlab: JupyterLab: Cross-Site Scripting via malicious clipboard cell pasting", "id": "2543518", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2543518"}, "csaw": false, "cvss3": {"cvss3_base_score": "8.1", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N", "status": "draft"}, "cwe": "CWE-79", "details": ["A flaw was found in JupyterLab. This vulnerability allows Cross-Site Scripting (XSS) when pasting notebook cells from the system clipboard, as the application fails to clear trusted metadata flags from imported cell data. A remote attacker could exploit this by enticing a user to paste malicious cell content, bypassing output sanitization. Successful exploitation enables the execution of arbitrary scripts within the user's authenticated session, potentially leading to unauthorized actions and information disclosure."], "name": "CVE-2026-102831", "package_state": [{"cpe": "cpe:/a:redhat:migration_toolkit_applications:8", "fix_state": "Affected", "package_name": "mta/mta-solution-server-rhel9", "product_name": "Migration Toolkit for Applications 8"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-feature-server-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th06-cpu-torch210-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th06-cpu-torch291-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th06-cuda130-torch210-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th06-cuda130-torch291-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th06-rocm64-torch291-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th-torch-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th-torch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-th-torch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-codeserver-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-datascience-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-minimal-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-minimal-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-minimal-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-pytorch-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-pytorch-llmcompressor-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-pytorch-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-cuda-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-tensorflow-rocm-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-workbench-jupyter-trustyai-cpu-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2026-09-29T18:58:03Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-102831\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-102831\nhttps://github.com/jupyterlab/jupyterlab/commit/1a10a7da5ff655849b21581c2633b46483ae0be9\nhttps://github.com/jupyterlab/jupyterlab/commit/7f9f29e29e0c83fb17b0f11da57d06b3c6a40d96\nhttps://github.com/jupyterlab/jupyterlab/commit/cf6e89a8d315c4134cefa50c220bca296da466a7\nhttps://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.11\nhttps://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.4\nhttps://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-6966-vjj6-99xv"], "threat_severity": "Important"}

{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[0.7.0,0.8.4)"}}], "enrichment": {"confidence": 85.0, "confidence_source": "matching", "scores": [{"score": 85.0, "source": "matching"}]}, "original": {"product": "jupyterlite-core", "source": "cna", "vendor": "jupyterlab"}, "product": "jupyter_core", "vendor": "jupyter"}, {"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[4.5.0,4.5.11)"}}, {"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[4.6.0,4.6.4)"}}], "enrichment": {"confidence": 92.0, "confidence_source": "matching", "scores": [{"score": 92.0, "source": "matching"}]}, "original": {"product": "jupyterlab", "source": "cna", "vendor": "jupyterlab"}, "product": "jupyterlab", "vendor": "jupyter"}, {"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "semver", "value": "[7.5.0,7.6.3)"}}], "enrichment": {"confidence": 91.0, "confidence_source": "matching", "scores": [{"score": 91.0, "source": "matching"}]}, "original": {"product": "notebook", "source": "cna", "vendor": "jupyterlab"}, "product": "notebook", "vendor": "jupyter"}], "created": "2026-09-29T22:45:18.599519+00:00", "updated": "2026-09-30T20:30:18.215383+00:00", "vendors": ["jupyter", "jupyter$PRODUCT$jupyter_core", "jupyter$PRODUCT$jupyterlab", "jupyter$PRODUCT$notebook"]}