CVE-2023-25574
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 · unedited`jupyterhub-ltiauthenticator` is a JupyterHub authenticator for learning tools interoperability (LTI). LTI13Authenticator that was introduced in `jupyterhub-ltiauthenticator` 1.3.0 wasn't validating JWT signatures. This is believed to allow the LTI13Authenticator to authorize a forged request. Only users that has configured a JupyterHub installation to use the authenticator class `LTI13Authenticator` are affected. `jupyterhub-ltiauthenticator` version 1.4.0 removes LTI13Authenticator to address the issue. No known workarounds are available.
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 confidenceThe LTI13Authenticator class in jupyterhub-ltiauthenticator versions 1.3.0 through 1.4.0 fails to validate JWT signatures on incoming LTI 1.3 requests, allowing attackers to forge authentication tokens and gain unauthorized access to JupyterHub instances.
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= 1.3.0CVSS 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
- 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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Verify jupyterhub-ltiauthenticator is installedRun 'pip show jupyterhub-ltiauthenticator' or check your environment's package manager for the installed packageAffected if The package is not installed or not found in the environment
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Determine the installed version of jupyterhub-ltiauthenticatorRun 'pip show jupyterhub-ltiauthenticator' and note the Version field, or check your requirements.txt/pipfile for the pinned versionAffected if The installed version is 1.3.0 or 1.4.0 (or any version between 1.3.0 and 1.4.0 inclusive)
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Inspect JupyterHub configuration for LTI13Authenticator usageExamine your jupyterhub_config.py file for any instantiation of LTI13Authenticator, such as 'c.JupyterHub.authenticator_class = LTI13Authenticator' or similar LTI 1.3 related configurationAffected if LTI13Authenticator class is explicitly configured as the authenticator or imported in the configuration
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Check if LTI 1.3 authentication is enabledReview your JupyterHub configuration files for LTI 1.3 related settings such as 'lti13_', 'client_id', 'endpoint', or other LTI 1.3 specific parametersAffected if LTI 1.3 authentication is actively configured and the LTI13Authenticator class is being used
The environment is affected if jupyterhub-ltiauthenticator version 1.3.0 or 1.4.0 is installed AND the LTI13Authenticator class is being used for LTI 1.3 authentication in the JupyterHub configuration.
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 to jupyterhub-ltiauthenticator version 1.4.0 or later, which removes the vulnerable LTI13Authenticator class entirely. Users requiring LTI 1.3 authentication will need to migrate to an alternative solution.
1.4.0
- 1. Review your JupyterHub configuration to identify any use of the `LTI13Authenticator` class
- 2. Ensure you have a backup of your current configuration
- 3. Upgrade jupyterhub-ltiauthenticator to version 1.4.0 using your package manager (e.g., pip install jupyterhub-ltiauthenticator==1.4.0)
- 4. Verify your configuration does not reference LTI13Authenticator as it has been removed in this version
- 5. Restart JupyterHub services
- 6. Test that authentication works with your remaining authenticator configuration
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation4.0 h
- Implementation2.0 h
- Testing4.0 h
- Review / QA2.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2023-25574 — 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-2023-25574 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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