CVE-2026-27194
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 · uneditedD-Tale is a visualizer for pandas data structures. Versions prior to 3.20.0 are vulnerable to Remote Code Execution through the /save-column-filter endpoint. Users hosting D-Tale publicly can be vulnerable to remote code execution allowing attackers to run malicious code on the server. This issue has been fixed in version 3.20.0.
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 confidenceD-Tale versions before 3.20.0 contain an unauthenticated remote code execution vulnerability in the /save-column-filter endpoint. Attackers can send specially crafted requests containing malicious code that gets executed on the server, allowing complete compromise of the host system.
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<= 3.19.1CVSS 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
- None
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
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 D-Tale installationRun 'pip list' or check your Python environment for the 'dtale' package. Alternatively, search for D-Tale processes or check where it may be running as a service.Affected if D-Tale package is present in your environment
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Determine installed D-Tale versionRun 'pip show dtale' or check your package manager for the installed version number.Affected if Version is lower than 3.20.0 (versions 3.19.1 and below are affected)
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Check if /save-column-filter endpoint existsInspect D-Tale source code for the route handler at /save-column-filter (typically in Flask/FastAPI routes). Verify the endpoint processes user input without proper sanitization.Affected if The endpoint exists and processes user-supplied data without sanitization
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Verify network exposure of D-TaleCheck your firewall rules, reverse proxy configuration, or cloud security groups to determine if the D-Tale service port (typically port 4000) is accessible from public/untrusted networks.Affected if D-Tale is accessible from public networks without authentication restrictions
You are affected if D-Tale version 3.19.1 or lower is installed AND the /save-column-filter endpoint is accessible (with or without authentication).
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 · scopedUpgrade D-Tale to version 3.20.0 or later. If immediate upgrade is not feasible, restrict public access to D-Tale instances and ensure proper authentication is enforced.
3.20.0
- 1. Stop the D-Tale service if it is currently running
- 2. Back up your current D-Tale installation and any associated data
- 3. Upgrade D-Tale to version 3.20.0 or later using pip: pip install dtale==3.20.0
- 4. Verify the upgrade was successful by checking the version: python -c "import dtale; print(dtale.__version__)"
- 5. Restart the D-Tale service
- 6. If hosting publicly, ensure proper authentication is configured and consider network segmentation to limit exposure
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation2.0 h
- Implementation2.0 h
- Testing4.0 h
- Review / QA1.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2026-27194 — 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-2026-27194 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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- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
- No weaponised exploit code, or anything meant to cause harm
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