CVE-2023-47248

criticalPriorität · beachten · 54EPSS 0.145 · 97. PerzentilExploit · PoCDEEUNLRUUS
grimoire priorityP1 · Urgent
Exploitable?
Public exploit
1 exploit · PoC
Likely / severe?
14.5% (97th) EPSS
CVSS 9.8 · critical
Is it mine?
76 products
Prüfe deine Angriffsfläche
Who says so?
6 sources
cnnvd · enisa_euvd · fstec_bdu · osv

EPSS · bewertet 2026-10-27

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.

01

cvss

Technischer Schweregrad, 0–10. Eine Zeile je Quelle.

9.8
010

Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen

v3.19.8criticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:Hprimary · NVD / NIST USAusnutzbarkeit 3.9 · Auswirkung 5.9
v3.19.8criticalAV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:Hsecondary · FSTEC (BDU) RU
v3.19.8criticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:Hsecondary · OSV
v3.19.8criticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H/E:Hsecondary · CVSS-BT (t0sche)
v3.19.8criticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:Hsecondary · NCSC-NL NL
02

schwächen

Die CWE-Schwächeklassen, zu denen dies gehört.

03

Exploits (1)

Öffentlicher Proof-of-Concept- und Exploit-Code.

04

betroffene Produkte (76)

Betroffene Produkte und Versionsbereiche.

20 von 76 angezeigt
05

Advisories (4)

Hersteller- und Ökosystem-Meldungen dazu.

  • NCSC-2024-0297 Kwetsbaarheden verholpen in Oracle Financial Services ApplicationsNL2024-07-17csaf · ncsc_nlNL

    Er zijn kwetsbaarheden verholpen in Oracle Financial Services Applications.

  • WID-SEC-W-2024-1638Oracle Financial Services Applications: Mehrere SchwachstellenDeutsch2024-07-16csaf · cert_bundDE

    Ein entfernter, anonymer oder authentisierter Angreifer kann mehrere Schwachstellen in Oracle Financial Services Applications ausnutzen, um die Vertraulichkeit, Integrität und Verfügbarkeit zu gefährden.

  • GHSA-5wvp-7f3h-6wmmPyArrow: Arbitrary code execution when loading a malicious data file2023-11-09ghsa · osvUS

    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.

  • PYSEC-2023-2382023-11-17vendor · osvUS

    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).

06

auch bekannt als (7)

Weitere Namen und Kennungen dieser Entität.

07

quellen

Welche Quellen diesen Datensatz belegen und wann.

veröffentlicht 2023-11-09geändert 2026-06-17
08

Referenzen (21)

Externe Belege — Patches, Meldungen, Analysen.

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