Unrated

Deserialization of untrusted data in IPC and Parquet readers in the Apache Arrow R package versions 4.0.0 through 16.1.0 allows arbitrary code execution. An application is vulnerable if it

  • Disclosed: 28.11.2024
  • Updated: 11.10.2026 12:19

Deserialization of untrusted data in IPC and Parquet readers in the Apache Arrow R package versions 4.0.0 through 16.1.0 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 the arrow R package, not other Apache Arrow implementations or bindings unless those bindings are specifically used via the R package (for example, an R application that embeds a Python interpreter and uses PyArrow to read files from untrusted sources is still vulnerable if the arrow R package is an affected version). It is recommended that users of the arrow R package upgrade to 17.0.0 or later. Similarly, it is recommended that downstream libraries upgrade their dependency requirements to arrow 17.0.0 or later. If using an affected version of the package, untrusted data can read into a Table and its internal to_data_frame() method can be used as a workaround (e.g., read_parquet(..., as_data_frame = FALSE)$to_data_frame()).

This issue affects the Apache Arrow R package: from 4.0.0 through 16.1.0.

Users are recommended to upgrade to version 17.0.0, which fixes the issue.

Affected software

Click a technology to see all vulnerabilities affecting it.

PlatformPackageVulnerable versionsFixed in
Python (PyPI) pyarrow >= 4.0.0, < 17.0.0 17.0.0

References

CVSS score -
Weakness (CWE)
-
Platform
Python (PyPI)
Package
pyarrow
Disclosed
28.11.2024
Updated
11.10.2026 12:19

Sources and licenses

OSV / GitHub Advisory Database - PYSEC-2024-161 - PyPA Advisory Database; CC BY 4.0

Vulnerability history: pyarrow

All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.

Total entries
5
First → latest
11.2019 02.2026
Without a fix
0
Exploited in attacks
0

Severity breakdown

  • Critical 1
  • High 3
  • Unrated 1

Disclosures per year

  1. 2019: 2
  2. 2020: 0
  3. 2021: 0
  4. 2022: 0
  5. 2023: 1
  6. 2024: 1
  7. 2025: 0
  8. 2026: 1
  1. High · 7.0 CVE-2026-25087 >= 15.0.0, < 23.0.1 23.0.1
  2. Deserialization of untrusted data in IPC and Parquet readers in the Apache Arrow R package versions 4.0.0 through 16.1.0 allows arbitrary code execution. An application is vulnerable if it this entry
    Unrated CVE-2024-52338 >= 4.0.0, < 17.0.0 17.0.0
  3. Critical · 9.8 CVE-2023-47248 >= 0.14.0, < 14.0.1 14.0.1
  4. High · 7.5 CVE-2019-12410 >= 0.12.0, < 0.15.1 0.15.1

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