Tóm tắt nhanh
- CVE-2023-47248 là lỗ hổng mức NGHIÊM TRỌNG (CVSS 9.8) ảnh hưởng pyarrow, pyarrow (apache).
- Xác suất bị khai thác trong 30 ngày tới (EPSS): 14.5%, cao hơn 96.6% các lỗ hổng khác.
- Cách xử lý: cập nhật lên 14.0.1 hoặc mới hơn.
| Gói / sản phẩm | Phiên bản bị ảnh hưởng | Phiên bản đã vá |
|---|
| pyarrow PyPI | ≥ 0.14.0, < 14.0.1
| 14.0.1
|
| pyarrow | ≥ 0.14.0, ≤ 14.0.0
| Chưa có bản vá |
Mô tả
Deserialization of untrusted data in IPC and Parquet readers in PyArrow versions 0.14.0 to 14.0.0 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 PyArrow, not other Apache Arrow implementations or bindings.
It is recommended that users of PyArrow upgrade to 14.0.1. Similarly, it is recommended that downstream libraries upgrade their dependency requirements to PyArrow 14.0.1 or later. PyPI packages are already available, and we hope that conda-forge packages will be available soon.
If it is not possible to upgrade, maintainers provide a separate package pyarrow-hotfix that disables the vulnerability on older PyArrow versions. See https://pypi.org/project/pyarrow-hotfix/ for instructions.
Mô tả của NVD
Deserialization of untrusted data in IPC and Parquet readers in PyArrow versions 0.14.0 to 14.0.0 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 PyArrow, not other Apache Arrow implementations or bindings.
It is recommended that users of PyArrow upgrade to 14.0.1. Similarly, it is recommended that downstream libraries upgrade their dependency requirements to PyArrow 14.0.1 or later. PyPI packages are already available, and we hope that conda-forge packages will be available soon.
If it is not possible to upgrade, we provide a separate package `pyarrow-hotfix` that disables the vulnerability on older PyArrow versions. See https://pypi.org/project/pyarrow-hotfix/ for instructions.
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