UNKNOWNPyPI →
JupyterLab: Cross-site scripting (XSS) via crafted settings file (`overrides.json`)
JupyterLab: Cross-site scripting (XSS) via crafted settings file (`overrides.json`)
Affected packages
- jupyterlab— 3.3.0 → 4.5.10
Exploit signal
- Known exploited (CISA KEV)
- No
- EPSS score
- —
- EPSS percentile
- —
EPSS is the probability a CVE is exploited in the wild; percentile is its rank among all CVEs.
Sources
- https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-pppj-hq3g-57pj
- https://github.com/jupyterlab/jupyterlab/pull/19184
- https://github.com/jupyterlab/jupyterlab/pull/19185
- https://github.com/jupyterlab/jupyterlab/pull/19186
- https://github.com/jupyterlab/jupyterlab/commit/be9303f5bcd5308eaeae953c5a3c903046682c2c
- https://github.com/jupyterlab/jupyterlab/commit/f1beab4a2027af4719d6edc07d52d6cf5a39a432
- https://github.com/jupyterlab/jupyterlab
- https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.10
- https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.2
- https://pypi.org/project/jupyterlab
- https://github.com/advisories/GHSA-pppj-hq3g-57pj
- https://nvd.nist.gov/vuln/detail/CVE-2026-73417
Structured record: https://osv.dev/vulnerability/PYSEC-2026-3672
Recommended response stack
Snyk — Scan your dependencies in CI and fix this vulnerability.→Socket — Detect malicious and compromised packages before they ship.→
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