Approved changes feed: RSS · Atom

cpe:2.3:a:apache_software_foundation:apache_arrow_r_package:*:*:*:*:*:*:*:*

part: a version: * update: *

VendorApache Software Foundation (f563070d-e18f-561b-b86c-987936937e8a)
ProductApache Arrow R Package (aec962f9-94dc-5cff-8b5d-7c46bb154c79)
Edition*
Language*
Software edition*
Target software*
Target hardware*
Other*
NotesImported from gcve-enriched-dumps CVE data

PURL mappings

PURLSourceLast updated
No PURL mappings for this CPE yet.

Vulnerability references

IdentifiercpeApplicabilitySubmitteddb.gcve.eu detailsRationale
CVE:CVE-2024-52338 vulnerable 2026-06-08 06:52:14.929124 Apache Arrow R package: Arbitrary code execution when loading a malicious data file
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.
Published: 2024-11-28T16:31:44.087Z
Updated: 2024-11-29T15:09:43.928Z
Reference links
Imported from gcve-enriched-dumps CVE data

Contribute

You can submit an edit proposal for this CPE entry or suggest a related product/vendor addition using the action button above.