CVE-2024-52338: Apache Arrow R package: Arbitrary code execution when loading a malicious data file
First published: Thu Nov 28 2024(Updated: )
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.
Credit: security@apache.org
| Affected Software | Affected Version | How to fix |
|---|---|---|
| Arrow | >=4.0.0<=16.1.0 |
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Reference Links
Frequently Asked Questions
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.
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.
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.
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.
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.
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