Intel

AIKIDO-2025-10719

databricks-sdk is vulnerable to Insertion of Sensitive Information into Log File

Insertion of Sensitive Information into Log File Pre-CVE
Found by Aikido Intel before public disclosure or CVE publication.
Published Oct 16, 2025

20

Low Risk

This Affects:

Pythondatabricks-sdk
0.32.0 - 0.67.0
Fixed in 0.68.0
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TL;DR

Affected versions of this package are vulnerable to Insecure Logging of Bearer Tokens, where full bearer tokens are logged in exceptions during API request failures and response parsing errors, exposing sensitive credentials in logs despite the debug_headers setting being false. An attacker with access to these logs, such as through insufficiently protected log storage or transmission, could extract the bearer tokens and use them to impersonate users, execute unauthorized API calls, or access sensitive data, leading to potential data breaches or privilege escalation.

Who does this affect?

You are affected if you are using a version that falls within the vulnerable range.

Background info

databricks-sdk is vulnerable to Insertion of Sensitive Information into Log File in versions 0.32.0 - 0.67.0.

How to fix this

Upgrade the databricks-sdk library to the patch version.