CVE-2025-55672
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedA stored Cross-Site Scripting (XSS) vulnerability exists in Apache Superset's chart visualization. An authenticated user with permissions to edit charts can inject a malicious payload into a column's label. The payload is not properly sanitized and gets executed in the victim's browser when they hover over the chart, potentially leading to session hijacking or the execution of arbitrary commands on behalf of the user. This issue affects Apache Superset: before 5.0.0. Users are recommended to upgrade to version 5.0.0, which fixes the issue.
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · high confidenceStored XSS vulnerability in Apache Superset's chart visualization allows authenticated users with edit permissions to inject malicious JavaScript into column labels. The unsanitized payload executes in victims' browsers when hovering over affected charts, potentially enabling session hijacking or arbitrary command execution.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.
NVD · CPE data< 5.0.0CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Network
- Complexity
- Low
- Privileges
- Low
- User interaction
- Required
- Scope
- Changed
- Confidentiality
- Low
- Integrity
- Low
- Availability
- None
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Identify installed Apache Superset versionRun the command `pip show apache-superset` or check the version from the Superset UI under Settings > Information. Alternatively, query the metadata database: SELECT version FROM ab_user WHERE id=1; or check the SUPERSET_VERSION in the codebase.Affected if The installed version is lower than 5.0.0
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Locate charts with custom column labelsQuery the metadata database tables related to charts/datasets, typically `slices` or `datasources` tables. Look for configurations where `column_label` or similar fields are defined.Affected if Charts exist that use custom column labels rather than default column names
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Inspect column label content for unsanitized inputExamine the stored column label values in the database or UI. In the Superset UI, open chart configuration and check the 'Columns' or 'Metrics' settings where labels are defined.Affected if Any column label contains HTML tags, script elements, or JavaScript event handlers (e.g., <script>, onload=, onerror=, javascript:)
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Verify user permissions for chart editingCheck user roles and permissions in Superset under Settings > List of Roles, or query the permission tables. Look for Gamma, Alpha, or custom roles with 'can_edit' or 'can_save' permissions on charts/datasets.Affected if Any authenticated user has edit or save permissions on charts (Gamma role or higher)
You are affected if running Apache Superset version < 5.0.0 AND there are charts with user-defined column labels that could contain malicious scripts, AND at least one user with edit permissions exists.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
dbcve · scoped5.0.0
Upgrade Apache Superset to version 5.0.0 or later which includes proper input sanitization for column labels.
5.0.0
- 1. Create a complete backup of the current Superset database and configuration files
- 2. Stop all Superset services (web server, celery workers, and any running processes)
- 3. Upgrade Apache Superset to version 5.0.0 using the appropriate package manager (e.g., pip install apache-superset==5.0.0 or equivalent for your deployment)
- 4. Run database migrations: superset db upgrade
- 5. Restart all Superset services in the correct order
- 6. Verify the upgrade was successful by logging in and checking that charts render correctly
- 7. Test that the XSS fix is working by attempting to use special characters in chart column labels
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation3.0 h
- Implementation6.0 h
- Testing3.0 h
- Review / QA2.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2025-55672 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2025-55672 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Version or environment caveats, and links to real fixes
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