Update dependency pyarrow to v23 [SECURITY]

[renovate-bot]

This PR contains the following updates:

Package	Change	Age	Confidence
pyarrow	==21.0.0 → ==23.0.1
pyarrow	==20.0.0 → ==23.0.1
pyarrow	==17.0.0 → ==23.0.1

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Apache Arrow: Potential use-after-free when reading IPC file with pre-buffering

CVE-2026-25087 / GHSA-rgxp-2hwp-jwgg

More information

Details

Use After Free vulnerability in Apache Arrow C++.

This issue affects Apache Arrow C++ from 15.0.0 through 23.0.0. It can be triggered when reading an Arrow IPC file (but not an IPC stream) with pre-buffering enabled, if the IPC file contains data with variadic buffers (such as Binary View and String View data). Depending on the number of variadic buffers in a record batch column and on the temporal sequence of multi-threaded IO, a write to a dangling pointer could occur. The value (a std::shared_ptr<Buffer> object) that is written to the dangling pointer is not under direct control of the attacker.

Pre-buffering is disabled by default but can be enabled using a specific C++ API call (RecordBatchFileReader::PreBufferMetadata). The functionality is not exposed in language bindings (Python, Ruby, C GLib), so these bindings are not vulnerable.

The most likely consequence of this issue would be random crashes or memory corruption when reading specific kinds of IPC files. If the application allows ingesting IPC files from untrusted sources, this could plausibly be exploited for denial of service. Inducing more targeted kinds of misbehavior (such as confidential data extraction from the running process) depends on memory allocation and multi-threaded IO temporal patterns that are unlikely to be easily controlled by an attacker.

Advice for users of Arrow C++:

1. check whether you enable pre-buffering on the IPC file reader (using RecordBatchFileReader::PreBufferMetadata)

2. if so, either disable pre-buffering (which may have adverse performance consequences), or switch to Arrow 23.0.1 which is not vulnerable

Severity

• CVSS Score: 7.0 / 10 (High)
• Vector String: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:H

References

• https://nvd.nist.gov/vuln/detail/CVE-2026-25087
• https://github.com/apache/arrow/pull/48925
• https://lists.apache.org/thread/mpm4ld1qony30tchfpjtk5b11tcyvmwh
• http://www.openwall.com/lists/oss-security/2026/02/17/4
• https://github.com/pypa/advisory-database/tree/main/vulns/pyarrow/PYSEC-2026-113.yaml
• https://github.com/advisories/GHSA-rgxp-2hwp-jwgg

This data is provided by the GitHub Advisory Database (CC-BY 4.0).

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[gemini-code-assist]

Code Review

This pull request updates the pyarrow dependency version to 23.0.1 across multiple requirements.txt files. Feedback was provided to simplify these requirements by removing environment markers and fallback versions for Python versions older than 3.10, which are no longer supported in this repository.

[gemini-code-assist]

Python versions below 3.10 are no longer supported in this repository. Please do not specify fallback dependency versions or environment markers for Python versions older than 3.10. Since pyarrow 23.0.1 is compatible with Python 3.10+, we can simplify this requirement by removing the environment markers.

pyarrow==23.0.1

References

1. Do not specify fallback dependency versions or environment markers for Python versions older than 3.10, as Python versions below 3.10 are no longer supported.

[gemini-code-assist]

Python versions below 3.10 are no longer supported in this repository. Please do not specify fallback dependency versions or environment markers for Python versions older than 3.10. Since pyarrow 23.0.1 is compatible with Python 3.10+, we can simplify this requirement by removing the environment markers.

pyarrow==23.0.1

References

1. Do not specify fallback dependency versions or environment markers for Python versions older than 3.10, as Python versions below 3.10 are no longer supported.

[gemini-code-assist]

Python versions below 3.10 are no longer supported in this repository. Please do not specify fallback dependency versions or environment markers for Python versions older than 3.10. Since pyarrow 23.0.1 is compatible with Python 3.10+, we can simplify this requirement by removing the environment markers.

pyarrow==23.0.1

References

1. Do not specify fallback dependency versions or environment markers for Python versions older than 3.10, as Python versions below 3.10 are no longer supported.