PYSEC-2026-1590

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/lollms/PYSEC-2026-1590.yaml
JSON Data
https://api.osv.dev/v1/vulns/PYSEC-2026-1590
Aliases
Published
2026-07-07T16:02:56.903818Z
Modified
2026-07-07T17:46:56.158593481Z
Severity
  • 7.5 (High) CVSS_V3 - CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N CVSS Calculator
Summary
Lord of Large Language Models vulnerable to Observable Discrepancy attack via authenticate_user function
Details

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 commit f78437f. 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.

References

Affected packages

PyPI / lollms

Package

Name
lollms
View open source insights on deps.dev
Purl
pkg:pypi/lollms

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Last affected
11.0.0

Affected versions

1.*
1.1.3
1.1.5
1.1.6
1.1.7
1.1.9
1.1.10
1.1.11
1.1.12
1.1.13
1.1.14
1.1.15
1.1.16
1.1.17
1.1.18
1.1.19
1.1.20
1.1.21
1.1.22
1.1.25
1.1.26
1.1.27
1.1.28
1.1.29
1.1.30
1.1.31
1.1.32
1.1.33
1.1.34
1.1.35
1.1.36
1.1.37
1.1.38
1.1.45
1.1.46
1.1.47
1.1.48
1.1.49
1.1.50
1.1.51
1.1.52
1.1.53
1.1.55
1.1.56
1.1.57
1.1.58
1.1.59
1.1.60
1.1.61
1.1.62
1.1.63
1.1.64
1.1.65
1.1.66
1.1.67
1.1.68
1.1.69
1.1.70
1.1.71
1.1.73
1.1.74
1.1.75
1.1.76
1.1.77
1.1.78
1.1.79
1.1.80
1.1.82
1.1.83
1.1.84
1.1.85
1.1.86
1.1.90
1.1.91
1.1.92
1.2.0
1.2.1
1.2.3
1.2.4
1.2.6
1.2.7
1.2.8
1.2.9
1.2.10
1.2.11
1.2.12
1.2.14
2.*
2.0.0
2.0.1
2.0.2
2.0.3
2.0.4
2.0.5
2.0.6
2.0.8
2.0.9
2.0.10
2.0.11
2.0.12
2.0.13
2.0.14
2.0.15
2.0.16
2.0.17
2.0.18
2.0.19
2.0.20
2.0.21
2.0.22
2.0.23
2.0.24
2.0.25
2.0.26
2.0.27
2.0.28
2.0.30
2.0.31
2.0.32
2.1.0
2.1.1
2.1.2
2.1.3
2.1.4
2.1.5
2.1.6
2.1.7
2.1.8
2.1.9
2.1.10
2.1.11
2.1.12
2.1.13
2.1.14
2.1.15
2.1.16
2.1.17
2.1.18
2.1.19
2.1.20
2.1.21
2.1.22
2.1.23
2.1.24
2.1.25
2.1.26
2.1.27
2.1.28
2.1.29
2.1.30
2.1.31
2.1.32
2.1.34
2.1.35
2.1.36
2.1.37
2.1.38
2.1.39
2.1.40
2.1.42
2.1.43
2.1.44
2.1.45
2.1.46
2.1.47
2.1.48
2.1.49
2.1.50
2.1.51
2.1.53
2.1.54
2.1.55
2.1.56
2.1.59
2.1.60
2.2.0
2.2.1
2.2.2
2.2.3
2.2.4
2.2.5
2.2.6
2.2.7
2.2.8
2.3.0
2.3.1
2.3.3
2.3.4
3.*
3.0.0
3.1.0
3.1.5
3.2.0
4.*
4.0.0
4.0.1
4.0.2
4.1.0
4.1.5
4.1.6
4.2.0
4.2.1
4.2.2
4.5.0
4.5.1
4.5.2
4.5.3
5.*
5.0.0
5.0.1
5.0.2
5.1.0
5.1.1
5.2.0
5.2.1
5.3.0
5.3.1
5.5.0
5.5.1
5.5.2
5.5.3
5.5.4
5.5.5
5.5.6
5.6.0
5.6.2
5.7.0
5.7.1
5.7.2
5.7.3
5.7.5
5.7.6
5.7.7
5.7.8
5.7.9
5.8.1
5.8.2
5.8.3
5.8.5
5.8.6
5.8.7
5.8.8
5.9.0
5.9.1
5.9.2
5.9.3
5.9.4
5.9.5
6.*
6.0.0
6.0.1
6.0.2
6.0.3
6.0.5
6.0.6
6.0.7
6.0.8
6.0.9
6.1.1
6.2.0
6.4.0
6.5.0
6.5.1
6.5.2
6.6.0
6.7.0
6.9.0
7.*
7.2.0
9.*
9.3.0
9.5.0
9.5.1
11.*
11.0.0

Database specific

source 
"https://github.com/pypa/advisory-database/blob/main/vulns/lollms/PYSEC-2026-1590.yaml"