Information Exposure Affecting lollms package, versions [0,]


Severity

Recommended
0.0
high
0
10

CVSS assessment by Snyk's Security Team. Learn more

Threat Intelligence

EPSS
0.07% (24th percentile)

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  • Snyk IDSNYK-PYTHON-LOLLMS-10872156
  • published21 Jul 2025
  • disclosed7 Jul 2025
  • creditUnknown

Introduced: 7 Jul 2025

NewCVE-2025-6386  (opens in a new tab)
CWE-203  (opens in a new tab)

How to fix?

A fix was pushed into the master branch but not yet published.

Overview

lollms is a python library for AI personality definition

Affected versions of this package are vulnerable to Information Exposure via the authenticate_user function in the /server/endpoints/lollms_authentication.py file. An attacker can enumerate valid usernames and incrementally guess passwords by analyzing differences in response times.

References

CVSS Base Scores

version 4.0
version 3.1