GHSA-7pgr-32fx-c6x9

Suggest an improvement
Source
https://github.com/advisories/GHSA-7pgr-32fx-c6x9
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2024/10/GHSA-7pgr-32fx-c6x9/GHSA-7pgr-32fx-c6x9.json
JSON Data
https://api.test.osv.dev/v1/vulns/GHSA-7pgr-32fx-c6x9
Aliases
  • CVE-2024-6971
Published
2024-10-11T15:30:32Z
Modified
2024-10-14T18:32:46.676417Z
Severity
  • 3.4 (Low) CVSS_V3 - CVSS:3.0/AV:L/AC:L/PR:H/UI:N/S:U/C:N/I:L/A:L CVSS Calculator
  • 1.8 (Low) CVSS_V4 - CVSS:4.0/AV:L/AC:L/AT:N/PR:H/UI:N/VC:N/VI:L/VA:L/SC:N/SI:N/SA:N/E:P CVSS Calculator
Summary
Lord of Large Language Models (LoLLMs) Server path traversal vulnerability in lollms_file_system.py
Details

A path traversal vulnerability exists in the ParisNeo/lollms repository, specifically in the lollms_file_system.py file. The functions add_rag_database, toggle_mount_rag_database, and vectorize_folder do not implement security measures such as sanitize_path_from_endpoint or sanitize_path. This allows an attacker to perform vectorize operations on .sqlite files in any directory on the victim's computer, potentially installing multiple packages and causing a crash.

Database specific 
{
    "nvd_published_at": "2024-10-11T13:15:16Z",
    "cwe_ids": [
        "CWE-22"
    ],
    "severity": "LOW",
    "github_reviewed": true,
    "github_reviewed_at": "2024-10-11T17:47:38Z"
}
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
9.5.1

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