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bind:CVE-2023-47248
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bind:CVE-2023-47248

Количество 4

Количество 4

nvd логотип

CVE-2023-47248

больше 2 лет назад

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.

CVSS3: 9.8
EPSS: Высокий
debian логотип

CVE-2023-47248

больше 2 лет назад

Deserialization of untrusted data in IPC and Parquet readers in PyArro ...

CVSS3: 9.8
EPSS: Высокий
github логотип

GHSA-5wvp-7f3h-6wmm

больше 2 лет назад

PyArrow: Arbitrary code execution when loading a malicious data file

CVSS3: 9.8
EPSS: Высокий
fstec логотип

BDU:2023-08044

больше 2 лет назад

Уязвимость библиотеки PyArrow, связанная с считыванием данных из недостоверных источников, позволяющая нарушителю выполнить произвольный код

CVSS3: 9.8
EPSS: Высокий

Уязвимостей на страницу

Уязвимость
CVSS
EPSS
Опубликовано
nvd логотип
CVE-2023-47248

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.

CVSS3: 9.8
86%
Высокий
больше 2 лет назад
debian логотип
CVE-2023-47248

Deserialization of untrusted data in IPC and Parquet readers in PyArro ...

CVSS3: 9.8
86%
Высокий
больше 2 лет назад
github логотип
GHSA-5wvp-7f3h-6wmm

PyArrow: Arbitrary code execution when loading a malicious data file

CVSS3: 9.8
86%
Высокий
больше 2 лет назад
fstec логотип
BDU:2023-08044

Уязвимость библиотеки PyArrow, связанная с считыванием данных из недостоверных источников, позволяющая нарушителю выполнить произвольный код

CVSS3: 9.8
86%
Высокий
больше 2 лет назад

Уязвимостей на страницу