CVE-2024-22421

7.6 HIGH

📋 TL;DR

This CVE describes a redirect vulnerability in JupyterLab where clicking a malicious link can expose Authorization and XSRFToken tokens to third parties. It affects users running older jupyter-server versions, potentially allowing attackers to steal authentication credentials. The vulnerability is mitigated by upgrading to patched versions.

💻 Affected Systems

Products:
  • JupyterLab
  • jupyter-server
Versions: jupyter-server versions older than 2.7.2
Operating Systems: All
Default Config Vulnerable: ⚠️ Yes
Notes: JupyterLab versions 4.1.0b2, 4.0.11, and 3.6.7 include the fix. The vulnerability requires user interaction (clicking malicious link).

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Attackers steal authentication tokens and gain unauthorized access to JupyterLab instances, potentially compromising sensitive data and executing arbitrary code.

🟠

Likely Case

Attackers capture authentication tokens through phishing links, gaining access to JupyterLab sessions and associated data.

🟢

If Mitigated

With proper patching, the vulnerability is eliminated; with network segmentation, impact is limited to isolated environments.

🌐 Internet-Facing: HIGH
🏢 Internal Only: MEDIUM

🎯 Exploit Status

Public PoC: ✅ No
Weaponized: UNKNOWN
Unauthenticated Exploit: ✅ No
Complexity: LOW

Exploitation requires user interaction via malicious links. No public exploit code identified.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: jupyter-server 2.7.2 or newer

Vendor Advisory: https://github.com/jupyterlab/jupyterlab/security/advisories/GHSA-44cc-43rp-5947

Restart Required: Yes

Instructions:

1. Upgrade jupyter-server to version 2.7.2 or newer using pip: 'pip install --upgrade jupyter-server>=2.7.2'. 2. Alternatively, upgrade JupyterLab to versions 4.1.0b2, 4.0.11, or 3.6.7. 3. Restart all JupyterLab instances.

🔧 Temporary Workarounds

No official workaround

all

The vendor advisory states no workaround has been identified. Patching is the only solution.

🧯 If You Can't Patch

  • Implement network segmentation to isolate JupyterLab instances from untrusted networks.
  • Educate users about phishing risks and implement strict link validation policies.

🔍 How to Verify

Check if Vulnerable:

Check jupyter-server version with: 'jupyter-server --version' or 'pip show jupyter-server'. If version is below 2.7.2, system is vulnerable.

Check Version:

jupyter-server --version

Verify Fix Applied:

After upgrade, verify version is 2.7.2 or newer using same commands. Test that JupyterLab functions normally.

📡 Detection & Monitoring

Log Indicators:

  • Unusual redirect patterns in web server logs
  • Multiple failed authentication attempts from unexpected sources

Network Indicators:

  • Unexpected outbound connections from JupyterLab instances
  • Traffic to suspicious domains following JupyterLab access

SIEM Query:

source="jupyter" AND (url="*redirect*" OR status=302) AND dest_ip NOT IN (allowed_domains)

🔗 References

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