Sensitive Auth & Cookie data stored in Jupyter server logs

Description

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.

Upgrade to notebook version 6.4.10

For more information

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Credit: @3coins for reporting. Thank you!

Basic information

Type
reviewed
Severity
high
Advisory on GitHub
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Repository advisory
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Source code
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Published (advisory)
2022-04-05 17:47:26 UTC
Updated
2023-01-27 05:01:25 UTC
GitHub reviewed
2022-04-05 17:47:26 UTC
NVD published
2022-03-31

EPSS Score

Score Percentile
0.49% 65.08%

CVSS Scores

Base score Version Severity Vector
7.5 3.1
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:N)
No account or special rights needed—anonymous or random user is enough.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:H)
Serious risk that confidential data gets exposed in a big way.
Integrity (I:N)
Data isn’t meaningfully altered or forged.
Availability (A:N)
Service keeps running; no real outage angle.

Identifiers

CWEs

CWE id Name
CWE-532 Insertion of Sensitive Information into Log File

Credits

  • 3coins (analyst)

Affected packages (1)

Vulnerable version ranges and first patched releases as published by GitHub.

Ecosystem Package Vulnerable range First patched Vulnerable functions
pip notebook < 6.4.10 6.4.10

References

cvelogic Threat Intelligence