p PatchFirst

PatchFirst · Vulnerabilidades recientes

Vulnerabilidades de pyarrow

Vulnerabilidades publicadas para pyarrow en los últimos 30 días: 0. Incluidas en el catálogo KEV: 0.

RSS ↗ JSON ↗
Filtrar vulnerabilidades
Borrar filtros

Vulnerabilidades: 5

  1. CVE-2026-25087

    Alta · CVSS 7EPSS 0,9%Corrección disponible

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

    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

    pyarrowPython
    • Actualiza a 23.0.1
    Publicación Actualización
    Aviso original 1 ↗Aviso original 2 ↗Aviso original 3 ↗

  2. CVE-2024-52338

    Crítica · CVSS 9.8EPSS 2,31%Corrección disponible

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

    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).

    pyarrowPython
    • Actualiza a 17.0.0
    Publicación Actualización
    Aviso original 1 ↗Aviso original 2 ↗Aviso original 3 ↗

  3. CVE-2023-47248

    Crítica · CVSS 9.8EPSS 14,53%Código de explotación públicoCorrección disponible

    PyArrow, PyArrow: Arbitrary code execution when loading a malicious data file

    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 i

    pyarrowPython
    • Actualiza a 14.0.1
    Publicación Actualización
    Aviso original 1 ↗Aviso original 2 ↗Aviso original 3 ↗

  4. CVE-2019-12408

    Alta · CVSS 7.5EPSS 3,25%Corrección disponible

    CVE-2019-12408

    It was discovered that the C++ implementation (which underlies the R, Python and Ruby implementations) of Apache Arrow 0.14.0 to 0.14.1 had a uninitialized memory bug when building arrays with null values in some cases. This can lead to uninitialized memory being unintentionally shared if Arrow Arrays are transmitted over the wire (for instance with Flight) or persisted in the streaming IPC and file formats.

    pyarrow pyarrowPython
    • Actualiza a 0.15.0
    • Actualiza a 0.15.1
    Publicación Actualización
    Aviso original 1 ↗Aviso original 2 ↗Aviso original 3 ↗

  5. CVE-2019-12410

    Alta · CVSS 7.5EPSS 4,61%Corrección disponible

    CVE-2019-12410

    While investigating UBSAN errors in https://github.com/apache/arrow/pull/5365 it was discovered Apache Arrow versions 0.12.0 to 0.14.1, left memory Array data uninitialized when reading RLE null data from parquet. This affected the C++, Python, Ruby and R implementations. The uninitialized memory could potentially be shared if are transmitted over the wire (for instance with Flight) or persisted in the streaming IPC and file formats.

    pyarrow pyarrowPython
    • Actualiza a 0.15.0
    • Actualiza a 0.15.1
    Publicación Actualización
    Aviso original 1 ↗Aviso original 2 ↗Aviso original 3 ↗

Comprueba tu servidor

Compara tu pila y las versiones instaladas con las bases actuales de vulnerabilidades.

Comprueba tu servidor →