{"id":"GHSA-4952-p58q-6crx","summary":"JupyterLab: XSS due to lack of sanitization of the action attribute of an html \u003cform\u003e","details":"### Impact\n\nUntrusted notebook can execute code on load. This is a remote code execution, but requires user action to open a notebook.\n\n### Patches\n\nPatched in the following versions: 3.1.4, 3.0.17, 2.3.2, 2.2.10, 1.2.21.\n\n### References\n\n[OWASP Page on Restricting Form Submissions](https://cheatsheetseries.owasp.org/cheatsheets/Content_Security_Policy_Cheat_Sheet.html)\n\n### For more information\n\nIf you have any questions or comments about this advisory, or vulnerabilities to report, please email our security list security@ipython.org.\n\nCredit: Guillaume Jeanne from Google\n","aliases":["BIT-jupyterlab-2021-32797","CVE-2021-32797","PYSEC-2021-130","PYSEC-2026-688"],"modified":"2026-07-06T08:11:33.806047220Z","published":"2021-08-23T19:40:22Z","database_specific":{"github_reviewed_at":"2021-08-23T16:41:37Z","nvd_published_at":"2021-08-09T21:15:00Z","cwe_ids":["CWE-75","CWE-79","CWE-87"],"severity":"MODERATE","github_reviewed":true},"references":[{"type":"WEB","url":"https://github.com/google/security-research/security/advisories/GHSA-c469-p3jp-2vhx"},{"type":"WEB","url":"https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-4952-p58q-6crx"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2021-32797"},{"type":"WEB","url":"https://github.com/jupyterlab/jupyterlab/commit/504825938c0abfa2fb8ff8d529308830a5ae42ed"},{"type":"WEB","url":"https://github.com/pypa/advisory-database/tree/main/vulns/jupyterlab/PYSEC-2021-130.yaml"}],"affected":[{"package":{"name":"jupyterlab","ecosystem":"PyPI","purl":"pkg:pypi/jupyterlab"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.2.21"}]}],"versions":["0.0.1","0.0.10","0.0.13","0.0.2","0.0.3","0.0.4","0.0.5","0.0.6","0.0.7","0.0.8","0.0.9","0.1.1","0.1.2","0.10.0","0.11.0","0.11.1","0.11.2","0.11.3","0.12.0","0.12.1","0.13.0","0.13.1","0.13.2","0.14.0","0.15.0","0.15.1","0.16.0","0.16.2","0.17.0","0.17.1","0.17.2","0.17.4","0.17.5","0.18.0","0.18.0.dev1","0.18.1","0.19.0","0.2.0","0.20.0","0.20.0rc1","0.20.1","0.20.2","0.20.3","0.20.4","0.21.0","0.21.0rc1","0.21.0rc2","0.21.0rc3","0.21.0rc4","0.21.0rc5","0.22.0","0.22.0rc0","0.22.1","0.23.0","0.23.0rc0","0.23.0rc1","0.23.1","0.23.2","0.24.0","0.24.0rc0","0.24.0rc1","0.24.0rc2","0.24.1","0.25.0","0.25.0rc0","0.25.0rc1","0.25.1","0.25.2","0.25.2rc0","0.26.0","0.26.0rc0","0.26.0rc1","0.26.1","0.26.2","0.26.3","0.26.4","0.26.5","0.27.0","0.27.0rc0","0.27.0rc1","0.27.0rc2","0.27.0rc3","0.27.0rc4","0.27.0rc5","0.27.1","0.27.2","0.28.0","0.28.0rc0","0.28.0rc1","0.28.0rc2","0.28.0rc3","0.28.1","0.28.10","0.28.11","0.28.12","0.28.13","0.28.14","0.28.15","0.28.2","0.28.3","0.28.4","0.28.5","0.28.6","0.28.7","0.28.8","0.29.0","0.29.0rc0","0.29.1","0.29.2","0.3.0","0.30.0","0.30.0rc0","0.30.0rc1","0.30.1","0.30.2","0.30.3","0.30.4","0.30.5","0.30.6","0.31.0","0.31.0rc0","0.31.0rc1","0.31.0rc2","0.31.1","0.31.10","0.31.11","0.31.12","0.31.2","0.31.3","0.31.4","0.31.5","0.31.6","0.31.7","0.31.8","0.31.9","0.32.0","0.32.0rc0","0.32.0rc1","0.32.1","0.33.0","0.33.0rc0","0.33.0rc1","0.33.1","0.33.10","0.33.11","0.33.12","0.33.2","0.33.3","0.33.4","0.33.5","0.33.6","0.33.7","0.33.8","0.33.9","0.34.0","0.34.0rc0","0.34.0rc1","0.34.0rc2","0.34.1","0.34.10","0.34.11","0.34.12","0.34.2","0.34.3","0.34.4","0.34.5","0.34.6","0.34.7","0.34.8","0.34.9","0.35.0","0.35.0rc0","0.35.0rc1","0.35.0rc2","0.35.1","0.35.2","0.35.3","0.35.4","0.35.5","0.35.6","0.4.0","0.4.1","0.5.0","0.6.0","0.7.0","0.8.0","0.9.0","0.9.1","1.0.0","1.0.0a0","1.0.0a1","1.0.0a10","1.0.0a2","1.0.0a3","1.0.0a4","1.0.0a5","1.0.0a6","1.0.0a7","1.0.0a8","1.0.0a9","1.0.0rc0","1.0.0rc1","1.0.1","1.0.10","1.0.2","1.0.3","1.0.4","1.0.5","1.0.6","1.0.7","1.0.9","1.1.0","1.1.0a0","1.1.0a1","1.1.0a2","1.1.0rc0","1.1.1","1.1.2","1.1.3","1.1.4","1.1.5","1.2.0","1.2.0a0","1.2.0a1","1.2.0a2","1.2.0a3","1.2.0rc0","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","1.2.19","1.2.2","1.2.20","1.2.3","1.2.4","1.2.5","1.2.6","1.2.7","1.2.8","1.2.9"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/08/GHSA-4952-p58q-6crx/GHSA-4952-p58q-6crx.json"}},{"package":{"name":"jupyterlab","ecosystem":"PyPI","purl":"pkg:pypi/jupyterlab"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.0.0a0"},{"fixed":"2.2.10"}]}],"versions":["2.0.0","2.0.0a0","2.0.0a1","2.0.0a3","2.0.0a4","2.0.0b1","2.0.0b2","2.0.0b3","2.0.0rc0","2.0.0rc1","2.0.0rc2","2.0.1","2.0.1rc0","2.0.2","2.1.0","2.1.0a0","2.1.0b0","2.1.0rc0","2.1.1","2.1.2","2.1.3","2.1.4","2.1.5","2.2.0","2.2.0a0","2.2.0a1","2.2.0rc1","2.2.1","2.2.2","2.2.4","2.2.5","2.2.6","2.2.7","2.2.8","2.2.9"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/08/GHSA-4952-p58q-6crx/GHSA-4952-p58q-6crx.json"}},{"package":{"name":"jupyterlab","ecosystem":"PyPI","purl":"pkg:pypi/jupyterlab"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.3.0a0"},{"fixed":"2.3.2"}]}],"versions":["2.3.0","2.3.0a0","2.3.0a1","2.3.0a2","2.3.0rc0","2.3.1"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/08/GHSA-4952-p58q-6crx/GHSA-4952-p58q-6crx.json"}},{"package":{"name":"jupyterlab","ecosystem":"PyPI","purl":"pkg:pypi/jupyterlab"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"3.0.0a0"},{"fixed":"3.0.17"}]}],"versions":["3.0.0","3.0.0a0","3.0.0a10","3.0.0a11","3.0.0a12","3.0.0a13","3.0.0a14","3.0.0a3","3.0.0a4","3.0.0a5","3.0.0a6","3.0.0a7","3.0.0a8","3.0.0a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