https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-05T07:48:24.889322+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/bdu:2024-10778 bdu:2024-10778 2026-10-05T07:48:25.001250+00:00 bdu:2024-10778 https://cve.radiocsirt.org/vuln/brew-dvc-cve-2024-52338 BREW-dvc-CVE-2024-52338 2026-10-05T07:48:25.001288+00:00

Affected: Homebrew: dvc

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.

 https://cve.radiocsirt.org/vuln/euvd-2026-205098 EUVD-2026-205098 2026-10-05T07:48:25.001331+00:00 EUVD-2026-205098 https://cve.radiocsirt.org/vuln/fkie_cve-2024-52338 fkie_cve-2024-52338 2026-10-05T07:48:25.001344+00:00

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.

 https://cve.radiocsirt.org/vuln/ghsa-m5xw-hwxw-fq3j GHSA-m5xw-hwxw-fq3j 2026-10-05T07:48:25.001382+00:00

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.

 https://cve.radiocsirt.org/vuln/msrc_cve-2024-52338 msrc_CVE-2024-52338 — Apache Arrow R package: Arbitrary code execution when loading a malicious data file 2026-10-05T07:48:25.001406+00:00 msrc_CVE-2024-52338 https://cve.radiocsirt.org/vuln/pysec-2024-161 PYSEC-2024-161 2026-10-05T07:48:25.001423+00:00

Affected: PyPI: pyarrow

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.