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Full vulnerability report · 2023
CVE-2023-47248High confidence

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

Apache Software Foundation · PyArrow

9.8CriticalCVSS 3.1
Recommended action
Within 72 hours

Critical technical impact with a remotely reachable, unauthenticated path; no CISA KEV confirmation is currently recorded.

Patch available
Optional official sources

National CERT insights
?CERT means Computer Emergency Response Team; CSIRT is the closely related term Computer Security Incident Response Team.

Select the national-authority views to include. The exact source language is shown on each matched advisory. Your choice is remembered on this device and encoded in the shareable URL.

Official European source

ENISA European Vulnerability Database

Official EUVD identifiers, advisory evidence and known-exploited context. Missing fields are not treated as evidence of low risk.

1 current
ENISA EUVD identifier

EUVD-2023-0212

No EUVD known-exploited evidence

ENISA has published the identifier mapping but no EUVD description has been stored yet.

EUVD state
Present in the current official mapping
Known exploitation
Not present in the current ENISA EUVD known-exploited dataset. This is not proof of no exploitation.
ENISA score
Not supplied in the stored EUVD record
Advisory evidence
No linked advisory details stored yet
Recommended actionWithin 72 hours

Critical technical impact with a remotely reachable, unauthenticated path; no CISA KEV confirmation is currently recorded.

Patch available
01

What, why and how

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.

What

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.

Why

Attacker-influenced serialised data is reconstructed as trusted objects, which can invoke dangerous application behaviour.

How

An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may execute code or commands in the affected security context.

What

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.

Why

Attacker-influenced serialised data is reconstructed as trusted objects, which can invoke dangerous application behaviour.

How

An attacker operating through a network path may attempt exploitation without authentication or user interaction. If successful, the issue may execute code or commands in the affected security context.

02

Exploit reality and attack path

CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.

Observed exploitation
?Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.
No confirmed evidence

No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.

Public PoC / exploit material
?Confirmed exploitation and public exploit material are separate signals. Attacks can occur without public proof-of-concept or exploit code.
None recorded

No exploit-tagged reference or CISA SSVC proof-of-concept state is currently recorded. Research may still exist outside the structured feeds.

Likely attack path
a network path → Deserialization of Untrusted Data → execute code or commands in the affected security context
Attack surface
Network
Privileges required
None: unauthenticated exploitation is possible
User interaction
None
Attack complexity
Low: no specialised conditions are recorded
Security boundary
Unchanged: impact remains within the vulnerable component's security authority
Weakness
?CWE means Common Weakness Enumeration: a standard category for the underlying weakness.
CWE-502

CWE-502: Deserialization of Untrusted Data. The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

CVSS vector
?CVSS means Common Vulnerability Scoring System. The vector records the metric values used to calculate technical severity.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Common Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.

AVNetworkAttack vector: The vulnerable component can be reached over a network.ACLowAttack complexity: No specialised conditions are required beyond attacker-controlled input.PRNonePrivileges required: The attacker does not need an account or existing privileges.UINoneUser interaction: No action by another user is required.SUnchangedScope: The security impact remains within the vulnerable component's authority.CHighConfidentiality impact: A successful attack can cause a major loss.IHighIntegrity impact: A successful attack can cause a major loss.AHighAvailability impact: A successful attack can cause a major loss.
Post-exploitation / living off the land
After compromise, an attacker may use built-in shells, scripting engines, scheduled tasks and native network utilities for discovery, persistence or movement. This is a plausible LoTL path, not evidence that it has occurred for every attack.
NetworkUnauthenticatedRemote code executionCWE-502
A

Official authority intelligence

Only matched European and national findings are included. Language selectors and unavailable sources are omitted.

BSI · German · WID-SEC-W-2024-1638Oracle Financial Services Applications: Mehrere Schwachstellen

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

Official advisory
CERT-FR · French · CERTFR-2025-AVI-0538Multiples vulnérabilités dans VMware Tanzu

com.com/web/ecx/support-content-notification/-/external/content/SecurityAdvisories/0/35866 Bulletin de sécurité VMware 35867 du 25 juin 2025 https://support.broadcom.com/web/ecx/support-content-notification/-/external/content/SecurityAdvisories/0/35867 Référence CVE CVE-2019-20916 https://www.cve.org/CVERecord?id=CVE-2019-20916 Référence CVE CVE-2021-3572 https://www.cve.org/CVERecord?id=CVE-2021-3572 Référence CVE CVE-2022-42969 https://www.cve.org/CVERecord?id=CVE-2022-42969 Référence CVE CVE-2023-29483 https://www.cve.org/CVERecord?id=CVE-2023-29483 Référence CVE CVE-2023-45288 https://www.cve.org/CVERecord?id=CVE-2023-45288 Référence CVE CVE-2023-47248 https://www.cve.org/CVERecord?id=CVE-2023-47248 Référence CVE CVE-2023-48795 https://www.cve.org/CVERecord?id=CVE-2023-48795 Référence CVE CVE-2023-50447 https://www.cve.org/CVERecord?id=CVE-2023-50447 Référence CVE CVE-2024-0243 https://www.cve.org/CVERecord?id=CVE-2024-0243 Référence CVE CVE-2024-11392 https://www.cve.org/CVERecord?id=CVE-2024-11392 Référence CVE CVE-2024-11393 https://www.cve.org/CVERecord?id=CVE-2024-11393 Référence CVE CVE-2024-11394 https://www.cve.org/CVERecord?id=CVE-2024-11394 Référence CVE CVE-2024-12720 https://www.cve.org/CVERecord?id=CVE-2024-12720 Référence CVE CVE-2024-1455 https://www.cve.org/CVERecord?id=CVE

Official advisory
CERT-FR · French · CERTFR-2024-AVI-0199Multiples vulnérabilités dans IBM

d?id=CVE-2023-36478 Référence CVE CVE-2023-36479 https://www.cve.org/CVERecord?id=CVE-2023-36479 Référence CVE CVE-2023-39325 https://www.cve.org/CVERecord?id=CVE-2023-39325 Référence CVE CVE-2023-40167 https://www.cve.org/CVERecord?id=CVE-2023-40167 Référence CVE CVE-2023-40743 https://www.cve.org/CVERecord?id=CVE-2023-40743 Référence CVE CVE-2023-41900 https://www.cve.org/CVERecord?id=CVE-2023-41900 Référence CVE CVE-2023-42282 https://www.cve.org/CVERecord?id=CVE-2023-42282 Référence CVE CVE-2023-44487 https://www.cve.org/CVERecord?id=CVE-2023-44487 Référence CVE CVE-2023-45857 https://www.cve.org/CVERecord?id=CVE-2023-45857 Référence CVE CVE-2023-47248 https://www.cve.org/CVERecord?id=CVE-2023-47248 Référence CVE CVE-2023-5676 https://www.cve.org/CVERecord?id=CVE-2023-5676 Référence CVE CVE-2024-20918 https://www.cve.org/CVERecord?id=CVE-2024-20918 Référence CVE CVE-2024-20921 https://www.cve.org/CVERecord?id=CVE-2024-20921 Référence CVE CVE-2024-20945 https://www.cve.org/CVERecord?id=CVE-2024-20945 Référence CVE CVE-2024-20952 https://www.cve.org/CVERecord?id=CVE-2024-20952 Référence CVE CVE-2024-23334 https://www.cve.org/CVERecord?id=CVE-2024-23334 Référence CVE CVE-2024-23829 https://www.cve.org/CVERecord?id=CVE-2024-23829 Référence CVE CVE-2024-24762 https://www.cve.org/CVERecord?id=CV

Official advisory
NCSC-NL · Dutch · NCSC-2024-0297Kwetsbaarheden verholpen in Oracle Financial Services Applications

Een kwaadwillende kan de kwetsbaarheden misbruiken om aanvallen uit te voeren die kunnen leiden tot de volgende categorieën schade: * Denial-of-Service (DoS) * Toegang tot gevoelige gegevens * Toegang tot systeemgegevens * Manipulatie van gegevens * (Remote) code execution (Gebruikersrechten)

Official advisory
03

Patch and workaround

Operational remediation based on structured source evidence.

Status
?Patch availability is based on structured fixed-version fields and authoritative update references. If no fix is verified, check the vendor advisory before making a change.
Patch available
Affected
0.14.0 ≤ 14.0.0
Fixed
An authoritative update reference is available, but the fixed version is not recorded in the structured CVE fields. Check the linked vendor advisory for the applicable release.
Action
Review the linked authoritative reference and apply the recorded fixed release appropriate to the affected product branch.
Workaround
No verified workaround is recorded. If business-safe, reduce exposure to the affected interface and allow only trusted sources until authoritative guidance is available.
04

Evidence and provenance

Published 9 Nov 2023 · Last source change 13 Feb 2025, 17:17 UTC · CWE-502 · Deserialization of Untrusted Data

CVE recordCVE.org · 5.1
CVSS sourceNIST NVD
EPSS source
?The date BlackTree first stored a score for this CVE from the daily FIRST EPSS feed.
FIRST · tracked since 2026-08-14
European sourceENISA EUVD · EUVD-2023-0212
Product sourceCNA
Remediation sourceCVE/CNA references
CWE sourceCNA
NVD statusNVD modified after enrichment

Core structured fields are present and their contributing authorities are shown above.

Material change intelligence

What changed after publication

View recent updates →

No material field changes have been recorded since change tracking began. Routine source refreshes and cosmetic edits are intentionally excluded.

Material fields only · duplicate refreshes suppressed · history retained for the configured operational retention period
Technical terms and abbreviations used in this report
CVE
Common Vulnerabilities and Exposures: the public identifier for one disclosed vulnerability.
CVSS
Common Vulnerability Scoring System: a technical severity framework; it is not patching priority by itself.
EPSS
Exploit Prediction Scoring System: FIRST's estimate of the probability that exploitation activity will be observed in the next 30 days; it is a forecast, not confirmation.
CWE
Common Weakness Enumeration: the standard category describing the underlying software or hardware weakness.
CNA
CVE Numbering Authority: an organisation authorised to assign and publish CVE records.
CISA ADP
Cybersecurity and Infrastructure Security Agency Authorized Data Publisher: structured enrichment added to a CVE record.
NVD
National Vulnerability Database: NIST's enrichment service for CVE records.
CERT / CSIRT
A computer security incident response team that publishes warnings or coordinates incident response.
PoC
Proof of concept: public material that demonstrates or helps reproduce exploitation.
CSAF
Common Security Advisory Framework: a machine-readable format for security advisories.
LoTL
Living off the land: abuse of legitimate tools or system functions during an attack.
Free version - for non-commercial use only.CVE-2023-47248 · cve.blacktree.nl