PatchSiren cyber security CVE debrief
CVE-2026-73417 jupyterlab CVE debrief
A vulnerability in JupyterLab allows for code execution through a malicious overrides.json file. This issue is fixed in versions 4.5.10 and 4.6.2. The vulnerability is caused by improper validation of sideBySideLeftMarginOverride and sideBySideRightMarginOverride settings in the tracker.json and index.ts files. A user can import the malicious file, or an attacker with access to a shared settings location can plant an overrides.json that is applied automatically. The embedded code runs with the affected user's access and can read or modify notebooks and files and run code through the notebook server, including on a connected kernel.
- Vendor
- jupyterlab
- Product
- Unknown
- CVSS
- HIGH 8.6
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-13
- Original CVE updated
- 2026-09-18
- Advisory published
- 2026-08-13
- Advisory updated
- 2026-09-18
Who should care
Users of JupyterLab, particularly those who use shared settings or import settings files from untrusted sources, should assess their exposure and take steps to mitigate the vulnerability. This includes reviewing and validating overrides.json files before importing them, restricting access to shared settings locations, and upgrading to JupyterLab version 4.5.10 or 4.6.2 or later.
Why it matters
This vulnerability allows for code execution through a malicious overrides.json file, potentially leading to unauthorized access and modification of notebooks and files.
- Code execution with user access
- Potential for notebook and file modification
- Risk of unauthorized access to connected kernels
Technical summary
The vulnerability in JupyterLab allows for code execution through a malicious overrides.json file. The issue is caused by improper validation of sideBySideLeftMarginOverride and sideBySideRightMarginOverride settings in the tracker.json and index.ts files. This allows a crafted settings file to contain instructions that execute as code instead of only changing display preferences. A user can import the malicious file, or an attacker with access to a shared settings location can plant an overrides.json that is applied automatically.
Defensive priority
High
Recommended defensive actions
- Upgrade to JupyterLab version 4.5.10 or 4.6.2 or later
- Review and validate overrides.json files before importing them
- Restrict access to shared settings locations
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
- Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed
- Check relevant monitoring, detection, and logs for exposed assets that need extra review
- Track exceptions, retest remediated assets, and close the item only after evidence is documented.
Evidence notes
The CVE record and NVD entry provide details on the vulnerability, including its description, CVSS score, and affected versions. The vulnerability allows for code execution with user access, potential for notebook and file modification, and risk of unauthorized access to connected kernels. Users should review and validate overrides.json files before importing them and restrict access to shared settings locations.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-73417 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-73417
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-73417 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-73417
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://github.com/jupyterlab/jupyterlab/commit/9365f020baec5221deaf11535ed554c06637c999
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Source reference
Unverified legacy reference
URL: https://github.com/jupyterlab/jupyterlab/commit/be9303f5bcd5308eaeae953c5a3c903046682c2c
-
Source reference
Unverified legacy reference
URL: https://github.com/jupyterlab/jupyterlab/commit/f1beab4a2027af4719d6edc07d52d6cf5a39a432
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Source reference
Unverified legacy reference
URL: https://github.com/jupyterlab/jupyterlab/pull/19184
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Source reference
Unverified legacy reference
URL: https://github.com/jupyterlab/jupyterlab/pull/19185
-
Source reference
Unverified legacy reference
URL: https://github.com/jupyterlab/jupyterlab/pull/19186
-
Source reference
Unverified legacy reference
URL: https://github.com/jupyterlab/jupyterlab/releases/tag/v4.5.10
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Source reference
Unverified legacy reference
URL: https://github.com/jupyterlab/jupyterlab/releases/tag/v4.6.2
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.