---
id: CVE-2026-57845
title: >-
  Hugging Face Datasets through 5.1.0 Pickle Deserialization RCE via Pandas
  Builder
summary: >-
  Hugging Face Datasets through 5.1.0 contains an insecure deserialization
  vulnerability that allows attackers to execute arbitrary Python code by
  crafting a malicious pickle file loaded through the deprecated pandas packaged
  builder. Atta…
severity: high
cvss: 8.8
cvssVector: 'CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H'
cvssSource: cna
cwe:
  - CWE-502
vendor: huggingface
product: datasets
affected:
  - datasets <= 5.1.0
ssvc:
  exploitation: poc
  automatable: 'no'
  technicalImpact: total
  timestamp: '2026-10-29T17:58:18.702571Z'
exploitAvailable: true
published: '2026-10-23'
updated: '2026-10-29'
sourceUpdated: '2026-10-29T17:58:32.566Z'
source: CVEORG
sourceUrl: 'https://www.cve.org/CVERecord?id=CVE-2026-57845'
references:
  - url: 'https://github.com/SaiTeja-Erukude/CVE-2026-57845-hf-datasets-rce'
    label: Researcher Disclosure
  - url: 'https://github.com/huggingface/datasets/pull/8879'
    label: Proposed Pull Request
  - url: >-
      https://www.vulncheck.com/advisories/hugging-face-datasets-pickle-deserialization-rce-via-pandas-builder
    label: >-
      VulnCheck Advisory: Hugging Face Datasets 5.1.0 Pickle Deserialization RCE
      via Pandas Builder
  - url: >-
      https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-57845.json
  - url: 'https://access.redhat.com/security/cve/CVE-2026-57845'
  - url: 'https://bugzilla.redhat.com/show_bug.cgi?id=2559938'
  - url: 'https://www.cve.org/CVERecord?id=CVE-2026-57845'
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2026-57845'
tags:
  - cve.org
  - exploit-available
  - csaf
  - vex
  - red-hat
epss: 0.00547
epssPercentile: 0.45869
exploits:
  github: 1
  githubRepos:
    - 'https://github.com/SaiTeja-Erukude/CVE-2026-57845-hf-datasets-rce'
  checkedAt: '2026-11-01T22:03:10.703Z'
scores:
  cna: 8.8
  vendor: 7.8
ingestedAt: '2026-10-23T15:29:36.869Z'
---

## Overview

Hugging Face Datasets through 5.1.0 contains an insecure deserialization vulnerability that allows attackers to execute arbitrary Python code by crafting a malicious pickle file loaded through the deprecated pandas packaged builder. Attackers can supply a pickle-backed dataset that is processed by Pandas._generate_tables via pandas.read_pickle() without validation, so when a victim calls datasets.load_dataset("pandas", data_files=...), the embedded __reduce__ payload executes code with the victim process's privileges.

## Affected

- `datasets <= 5.1.0`

## Remediation

Refer to the linked advisories for vendor-supplied fixes and affected version ranges.

## Vendor advisories

- **Red Hat VEX** · Important · affected: Exploit Intelligence, Lightspeed Core, Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3, Red Hat OpenShift AI (RHOAI) · no fix planned: Exploit Intelligence, Lightspeed Core, Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI) 3, … · updated 2026-10-23 · [vex](https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-57845.json)