CVE-2024-52338: Apache Arrow R package: Arbitrary code execution when loading a malicious data file

Published Nov 28, 2024
·
Updated

Apache Arrow R package: Arbitrary code execution when loading a malicious data file

Other sources

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 todataframe() method can be used as a workaround (e.g., readparquet(..., asdataframe = FALSE)$todataframe()).

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.

MITRE

Affected Software

6 affected componentsFixes available
Apache Arrow R package>=4.0.0<=16.1.0
Apache Arrow>=4.0.0<17.0.0
Microsoft azl3 ceph 18.2.2-8
Microsoft azl3 ceph 18.2.2-2
Microsoft azl3 libarrow 15.0.0-7
IBM Netezza Software<=11.3.0.3-IF2

Remediation

Recommended actions to resolve this vulnerability, in priority order.

  1. Upgrade

    Upgrade Apache Arrow R package to a version that resolves this vulnerability.

    Fixed in 17.0.0Patch CVE-2024-52338
  2. Compensating control

    If you are unable to upgrade and you use the arrow R package to read Arrow IPC/Feather/Parquet data from untrusted sources, use the workaround: read_parquet(..., as_data_frame = FALSE)$to_data_frame() so the internal to_data_frame() method is not used on untrusted deserialized data as described in the issue.

Event History

Nov 28, 2024
CVE Published
via MITRE·04:31 PM
Data Sourced
via MITRE·04:31 PM
DescriptionWeakness
Data Sourced
via NVD·05:15 PM
RemedyDescriptionSeverityWeaknessAffected Software
Dec 13, 2024
Data Sourced
via Microsoft·08:00 AM
DescriptionSeverityWeakness
Data Sourced
via Microsoft·08:00 AM
Affected Software
Updated
via Microsoft·08:00 AM
DescriptionSeverity
Aug 20, 2026
Data Sourced
via IBM·12:00 AM
DescriptionAffected Software

Parent advisories

This vulnerability appears in the following advisories.

Frequently Asked Questions

1

What is the severity of CVE-2024-52338?

CVE-2024-52338 has been rated as a critical vulnerability due to its potential for arbitrary code execution.

2

How do I fix CVE-2024-52338?

To fix CVE-2024-52338, upgrade the Apache Arrow R package to a version higher than 16.1.0.

3

What versions of Apache Arrow R package are affected by CVE-2024-52338?

CVE-2024-52338 affects Apache Arrow R package versions from 4.0.0 to 16.1.0.

4

Can CVE-2024-52338 lead to data theft?

Yes, due to its ability to execute arbitrary code, CVE-2024-52338 can lead to potential data theft.

5

What type of data sources increase the risk of CVE-2024-52338?

Reading data from untrusted sources such as user-supplied Arrow IPC, Feather, or Parquet files increases the risk of CVE-2024-52338.

Contact

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