GHSA-fg5m-m723-7mv6

Source

https://github.com/advisories/GHSA-fg5m-m723-7mv6

Import Source

https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2024/09/GHSA-fg5m-m723-7mv6/GHSA-fg5m-m723-7mv6.json

JSON Data

https://api.osv.dev/v1/vulns/GHSA-fg5m-m723-7mv6

Aliases

CVE-2024-8862

Published

2024-09-16T14:37:27Z

Modified

2024-09-20T20:12:31.719110Z

Severity

7.3 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L CVSS Calculator
6.9 (Medium) CVSS_V4 - CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X CVSS Calculator

Summary

D-Tale Command Execution Vulnerability

Details

D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures. In dtale\views.py, under the route @dtale.route("/chart-data/<data_id>"), the query parameters from the request are directly passed into runquery for execution. And the runquery function calls proceed without performing any processing or sanitization of the query parameter. As a result, the query is directly used in the df.query method for data retrieval. Tthe engine used is python, which allows executing the query expression ans leading to a command execution vulnerability.

Database specific

{
    "nvd_published_at": "2024-09-14T20:15:11Z",
    "cwe_ids": [
        "CWE-74"
    ],
    "severity": "MODERATE",
    "github_reviewed": true,
    "github_reviewed_at": "2024-09-20T19:50:07Z"
}

References

Affected packages

PyPI / dtale

Package

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

Affected ranges

Type: ECOSYSTEM
Events: Introduced

0Unknown introduced version / All previous versions are affected

Fixed

3.14.1

Affected versions

1.*

1.0.0

1.1.1

1.2.0

1.3.7

1.4.1

1.5.1

1.6.1

1.6.2

1.6.3

1.6.4

1.6.5

1.6.6

1.6.7

1.6.8

1.6.9

1.6.10

1.7.0

1.7.1

1.7.2

1.7.3

1.7.4

1.7.5

1.7.6

1.7.7

1.7.8

1.7.9

1.7.10

1.7.11

1.7.12

1.7.13

1.7.14

1.7.15

1.8.0

1.8.1

1.8.3

1.8.4

1.8.6

1.8.7

1.8.8

1.8.9

1.8.10

1.8.11

1.8.12

1.8.13

1.8.14

1.8.15

1.8.16

1.8.17

1.8.18

1.8.19

1.9.0

1.9.1

1.9.2

1.10.0

1.11.0

1.12.1

1.13.0

1.14.1

1.15.2

1.16.0

1.17.0

1.18.2

1.19.2

1.20.0

1.21.1

1.22.0

1.22.1

1.23.0

1.24.0

1.25.0

1.26.0

1.27.0

1.28.0

1.28.1

1.29.0

1.29.1

1.30.0

1.31.0

1.32.0

1.32.1

1.33.0

1.33.1

1.34.0

1.35.0

1.36.0

1.37.0

1.37.1

1.38.0

1.39.0

1.40.0

1.40.1

1.40.2

1.41.0

1.41.1

1.42.0

1.42.1

1.43.0

1.44.0

1.44.1

1.45.0

1.46.0

1.47.0

1.48.0

1.49.0

1.50.0

1.50.1

1.51.0

1.52.0

1.53.0

1.54.0

1.54.1

1.55.0

1.56.0

1.57.0

1.58.1

1.58.2

1.58.3

1.59.0

1.59.1

1.60.1

1.60.2

1.61.0

1.61.1

2.*

2.0.0

2.1.0

2.1.2

2.2.0

2.3.0

2.4.0

2.5.1

2.6.0

2.7.1

2.8.0

2.8.1

2.9.0

2.9.1

2.10.0

2.11.0

2.12.0

2.12.1

2.12.2

2.12.3

2.13.0

2.14.0

2.14.1

2.15.0

2.15.2

2.16.0

3.*

3.0.0

3.1.0

3.1.6

3.1.7

3.2.0

3.3.0

3.4.0

3.5.0

3.6.0

3.7.0

3.8.0

3.8.1

3.9.0

3.10.0

3.11.0

3.12.0

3.13.0

3.13.1

3.14.0