GHSA-j5pr-vrjj-9v4h · Severity: high · Ecosystem: pip — Lord of Large Language Models vulnerable to Observable Discrepancy attack via authenticate_user function
The parisneo/lollms repository is affected by a timing attack vulnerability in the `authenticate_user` function within the `lollms_authentication.py` file. This vulnerability allows attackers to enumerate valid usernames and guess passwords incrementally by analyzing response time differences. The affected version is the latest, and the issue is resolved in version 20.1. The vulnerability arises from the use of Python's default string equality operator for password comparison, which compares characters sequentially and exits on the first mismatch, leading to variable response times based on the number of matching initial characters.
Conclusion & alert: CVE-2025-6386 is rated Moderate Risk (40.2/100): CVSS High severity, with low exploitation likelihood (EPSS 0.37%). Mandatory action: Review affected assets and schedule remediation.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-06-15 | 0.26% | 0.37% | +0.11% |
| 2 | 2026-05-03 | 0.12% | 0.26% | +0.14% |
| 3 | 2025-12-03 | — | 0.12% | — |
Full EPSS history (5 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 7.5 | 3.0 | HIGH |
|
3.9 | 3.6 | [email protected] |
GHSA-j5pr-vrjj-9v4h · Severity: high · Ecosystem: pip — Lord of Large Language Models vulnerable to Observable Discrepancy attack via authenticate_user function
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| No affected products in dataset. | |||