GHSA-5wvp-7f3h-6wmm

Suggest an improvement
Source
https://github.com/advisories/GHSA-5wvp-7f3h-6wmm
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/11/GHSA-5wvp-7f3h-6wmm/GHSA-5wvp-7f3h-6wmm.json
JSON Data
https://api.test.osv.dev/v1/vulns/GHSA-5wvp-7f3h-6wmm
Aliases
Related
Published
2023-11-09T09:30:26Z
Modified
2024-10-21T21:01:50.881481Z
Severity
  • 9.8 (Critical) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H CVSS Calculator
  • 9.3 (Critical) CVSS_V4 - CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N CVSS Calculator
Summary
PyArrow: Arbitrary code execution when loading a malicious data file
Details

Deserialization of untrusted data in IPC and Parquet readers in PyArrow versions 0.14.0 to 14.0.0 allows arbitrary code execution. An application is vulnerable if it reads Arrow IPC, Feather or Parquet data from untrusted sources (for example user-supplied input files).

This vulnerability only affects PyArrow, not other Apache Arrow implementations or bindings.

It is recommended that users of PyArrow upgrade to 14.0.1. Similarly, it is recommended that downstream libraries upgrade their dependency requirements to PyArrow 14.0.1 or later. PyPI packages are already available, and we hope that conda-forge packages will be available soon.

If it is not possible to upgrade, maintainers provide a separate package pyarrow-hotfix that disables the vulnerability on older PyArrow versions. See https://pypi.org/project/pyarrow-hotfix/ for instructions.

Database specific 
{
    "nvd_published_at": "2023-11-09T09:15:08Z",
    "cwe_ids": [
        "CWE-502"
    ],
    "severity": "CRITICAL",
    "github_reviewed": true,
    "github_reviewed_at": "2023-11-09T22:18:21Z"
}
References

Affected packages

PyPI / pyarrow

Package

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

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0.14.0
Fixed
14.0.1

Affected versions

0.*

0.14.0
0.14.1
0.15.0
0.15.1
0.16.0
0.17.0
0.17.1

1.*

1.0.0
1.0.1

2.*

2.0.0

3.*

3.0.0

4.*

4.0.0
4.0.1

5.*

5.0.0

6.*

6.0.0
6.0.1

7.*

7.0.0

8.*

8.0.0

9.*

9.0.0

10.*

10.0.0
10.0.1

11.*

11.0.0

12.*

12.0.0
12.0.1

13.*

13.0.0

14.*

14.0.0