CVE-2022-24758
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 · uneditedThe Jupyter notebook is a web-based notebook environment for interactive computing. Prior to version 6.4.9, unauthorized actors can access sensitive information from server logs. Anytime a 5xx error is triggered, the auth cookie and other header values are recorded in Jupyter server logs by default. Considering these logs do not require root access, an attacker can monitor these logs, steal sensitive auth/cookie information, and gain access to the Jupyter server. Jupyter notebook version 6.4.x contains a patch for this issue. There are currently no known workarounds.
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 confidenceIn Jupyter Notebook versions prior to 6.4.9, unauthorized actors can access sensitive authentication information (cookies and headers) from server logs whenever a 5xx error occurs. Since these logs do not require root access, attackers can monitor them to steal auth credentials and gain unauthorized access to the Jupyter server.
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< 6.4.10CVSS 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
- None
- Availability
- None
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/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 Jupyter Notebook installed versionRun `jupyter notebook --version` or check the package manager (e.g., `pip show notebook` or `conda list notebook`) to retrieve the installed version numberAffected if The version displayed is earlier than 6.4.10 (e.g., 6.4.9, 6.4.8, etc.)
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Locate Jupyter Notebook log filesCheck the Jupyter configuration file or run `jupyter notebook --generate-config` and look for the `NotebookApp.log_file` setting, or search standard locations such as `~/.jupyter/` or system log directories for files named similarly to `jupyter.log` or `notebook.log`Affected if Log files exist and are stored in an accessible directory
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Inspect log files for authentication data in 5xx errorsOpen the identified log files and search for 5xx error entries (status codes 500, 502, 503, 504) using a command like `grep -E '5[0-9]{2}' <logfile>` or manually scan for error patternsAffected if Log entries containing 5xx errors show cookie values (e.g., session tokens) or authorization headers (e.g., bearer tokens)
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Verify log file permissionsCheck file permissions on the log files using `ls -la <logfile>` to determine if non-privileged users can read themAffected if Log files are readable by users other than the notebook server owner (e.g., permissions allow world-readable or group-readable access)
You are affected if Jupyter Notebook version is earlier than 6.4.10 AND log files exist with 5xx error entries containing authentication cookies or headers that are readable by unauthorized users.
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 · scoped6.4.10
Upgrade Jupyter Notebook to version 6.4.9 or later to apply the patch that prevents auth cookies and headers from being logged. There are no known workarounds.
6.4.10 or later in the 6.4.x series
- Check current Jupyter notebook version using `jupyter notebook --version` or `pip show notebook`
- Upgrade Jupyter notebook to version 6.4.10 or later using `pip install --upgrade notebook`
- Verify the upgrade was successful by running `jupyter notebook --version`
- Ensure the version is 6.4.10 or higher to confirm the vulnerability is patched
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation2.0 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-2022-24758 — 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-2022-24758 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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