CVE-2023-47248

Home/CVE/Deserialization of untrusted data in IPC and Parquet readers in PyArrow versions 0.14.0 to 14.0.0 allows arbitrary code

CVE

Deserialization of untrusted data in IPC and Parquet readers in PyArrow versions 0.14.0 to 14.0.0 allows arbitrary code

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.

CRITICAL · CVSS 9.8 EPSS 0.84819

Act now

EPSS ≥ 0.50 - high probability of exploitation in the next 30 days
EPSS percentile: top 1% of all CVEs by exploitation likelihood
Public exploit or PoC is available
CVSS base score ≥ 7.0

Sigma rules0 YARA rules0

Look this up elsewhere - one-click external pivots

NVD CVE.org CISA Vulners Exploit-DB GitHub PoC VulnCheck KEV GreyNoise

▸ How to read a CVE - triage first, then detect and patch

This page is every public fact about CVE-2023-47248, cross-linked. Its job is to answer one question fast - does this need my attention now? - and then hand you the two things you do about it. Here is how an analyst reads it.

Triage: should I act now? Four signals, and they are not interchangeable:

CVSSseverity - how bad it is IF exploited, 0-10. A high CVSS alone is not urgency; a flaw can be a perfect 10 and never actually be attacked. EPSSprobability - a model’s estimate of the chance it is exploited in the next 30 days, 0-1. This is the “will it actually happen” signal. CISA KEVconfirmed - it is being exploited in the wild right now. The strongest signal on the page; KEV beats any score. Weaponisedavailability - public exploits / PoCs, and especially Metasploit modules rated Excellent / Great. Reliable, packaged exploit code means low-skill attackers can use it today.

How they combine: KEV, or a dependable Metasploit module, means patch now regardless of CVSS. High CVSS + low EPSS + no exploit is real but not an emergency - schedule it. Low CVSS but KEV-listed still gets patched now. The verdict above already weighed these for you; this is how it got there.

Then what - two workflows:

Detectwhen you cannot patch today, follow this CVE to the ATT&CK techniques it enables, then Build a SIEM detection (the green button) - author a rule, test it in Atomic, deploy it. That buys visibility while the patch waits. PatchAffected products / packages tell you if you are exposed; Fixed versions by distribution and Vendor advisories give the exact version that closes it.

Reading order for the panels below: verdict + badges, then Public exploits / Metasploit (is it weaponised), then ATT&CK techniques + Sigma / IDS rules (can I detect it), then Affected products / packages + Fixed versions (am I exposed, what patches it), then Threat actors / IOCs (who uses it), then Scoring & timeline / references (the evidence).

View attack path from CVE-2023-47248

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ATT&CK techniques

Techniques this CVE enables - linked via CWECAPECATT&CK. High◆ = named directly in ATT&CK or Nuclei templates.

T1190 · Exploit Public-Facing Application

▤ Build a SIEM detection for these techniques

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CAPEC attack patterns

Attack patterns this CVE enables - the bridge from weakness to ATT&CK technique.

CAPEC-CAPEC-586 · Object Injection

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Weakness Classification

CWE-502Deserialization of Untrusted Data

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Affected Products & Versions

apache pyarrow>= 0.14.0 and <= 14.0.0

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Affected Packages

Language-ecosystem packages (from OSV) tied to this CVE, with the version that fixes it - the dependency-level detail NVD doesn’t carry.

PyPI pyarrow CRITICAL fixed in 14.0.1

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Public Exploits & PoCs

These PoC and exploit links come from public sources and are not verified to be safe or functional. Review the code before running anything, and treat unverified entries as untrusted.
nucleiPyArrow Flight RPC - Remote Code Executioncritical
pocProdigysec/pyarrow-CVE-2023-47248 (nomi-sec)
pocfkie-cad/nvd-json-data-feeds (trickest)
poclinhkolor/BankChurn_CatBoost (trickest)
poclinhkolor/SalesPrediction_LightGBM (trickest)
pocuscensusbureau/DAS_2020_DDHCA_Production_Code (trickest)

📦

Fixed versions by distribution

The package version that resolves this CVE on each Linux distribution, from the vendor’s published security data. fixed in shows a patched version exists; open means the package is listed as affected with no fix yet.

suse sle15python3-arrow open

suse sle15python311-arrow open

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Scoring & Timeline

9.8

CRITICAL · CVSS v3.1 · [email protected]

View on NVD

Attack Vector

Network Adjacent Local Physical

Attack Complexity

Low High

Privileges Required

None Low High

User Interaction

None Required

Scope

Unchanged Changed

Confidentiality

None Low High

Integrity

None Low High

Availability

None Low High

Published to NVD09 Nov 2023 · 09:15 AM

CVSS VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

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Vendor Advisories

suse-csafopenSUSE-SU-2024:13431-1
suse-csafopenSUSE-SU-2024:13460-1
suse-csafopenSUSE-SU-2024:13480-1
oracle-cpuoracle-cpu-Oracle-Database-Oracle-Autonomous-Health-Framework-14634--CVE-2023-47248

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References & Sources

Source URLs (vendor pages, mailing lists, write-ups). Exploit/PoC links are in their own section above to avoid duplication.

https://github.com/apache/arrow/commit/f14170976372436ec1d03a724d8d3f3925484ecfPatch

https://lists.apache.org/thread/yhy7tdfjf9hrl9vfrtzo8p2cyjq87v7nMailing ListThird Party Advisory

https://lists.fedoraproject.org/archives/list/[email protected]/message/FR34AIPXVTMB3XPRU5ULV5HHWPMRE33X/

https://lists.fedoraproject.org/archives/list/[email protected]/message/MAGWEAJDWO2ACYATUQCPXLSYY5C3L3XU/

https://lists.fedoraproject.org/archives/list/[email protected]/message/MWFYXLVBTBHNKYRXI572RFX7IJDDQGBL/

https://pypi.org/project/pyarrow-hotfix/Product