Hugging Face Datasets through 5.1.0 Pickle Deserialization RCE via Pandas Builder

{
  "id": "15a28e84b1d65f1d074d5e534bea9f199c4eb2f73c9037343e649249adb5c7bf",
  "url": "https://osv.dev/vulnerability/CVE-2026-57845",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "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. 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.",
    "evidence": "osv:CVE-2026-57845",
    "products": [],
    "severity": "high",
    "structured": {
      "id": "CVE-2026-57845",
      "aliases": [
        "CVE-2026-57845"
      ],
      "metrics": [
        {
          "type": "CVSS_V4",
          "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N"
        }
      ],
      "affected": [
        {
          "ranges": [
            {
              "repo": "https://github.com/huggingface/datasets",
              "type": "GIT",
              "events": [
                {
                  "introduced": "0"
                },
                {
                  "last_affected": "efe6ea4f88260b1a5066f28a9c90d82365a29f42"
                }
              ],
              "database_specific": {
                "extracted_events": [
                  {
                    "range": [
                      {
                        "introduced": "0"
                      },
                      {
                        "last_affected": "5.1.0"
                      }
                    ],
                    "source": "AFFECTED_FIELD",
                    "strategy": "StandardRange"
                  },
                  {
                    "range": [
                      {
                        "introduced": "0"
                      },
                      {
                        "last_affected": "5.1.0"
                      }
                    ],
                    "source": "DESCRIPTION"
                  }
                ]
              }
            }
          ],
          "versions": [
            "5.1.0",
            "5.0.1",
            "5.0.0",
            "4.8.5",
            "4.8.4",
            "4.8.3",
            "4.8.2",
            "4.8.1",
            "4.8.0",
            "4.7.0",
            "4.6.1",
            "4.6.0",
            "4.5.0",
            "3.6.0",
            "4.4.2",
            "4.4.1",
            "4.4.0",
            "4.3.0",
            "4.2.0",
            "4.1.1",
            "4.1.0",
            "4.0.0",
            "3.5.1",
            "3.5.0",
            "3.4.1",
            "3.4.0",
            "3.3.2",
            "3.3.1",
            "3.3.0",
            "3.2.0",
            "3.1.0",
            "3.0.2",
            "3.0.1",
            "3.0.0",
            "2.20.0",
            "2.19.0",
            "2.18.0",
            "2.17.1",
            "2.17.0",
            "2.16.1",
            "2.16.0",
            "2.15.0",
            "2.13.1",
            "2.14.1",
            "2.14.0",
            "2.13.0",
            "2.12.0",
            "2.11.0",
            "2.10.0",
            "2.9.0",
            "2.8.0",
            "2.6.1",
            "2.7.0",
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            "2.5.1",
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            "2.4.0",
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            "2.3.0",
            "2.2.2",
            "2.2.1",
            "2.2.0",
            "2.1.0",
            "2.0.0",
            "1.18.3",
            "1.18.2",
            "1.18.1",
            "1.18.0",
            "1.17.0",
            "1.16.1",
            "1.16.0",
            "1.15.1",
            "1.15.0",
            "1.14.0",
            "1.13.3",
            "1.13.2",
            "1.13.1",
            "1.13.0",
            "1.12.1",
            "1.12.0",
            "1.11.0",
            "1.10.2",
            "1.10.1",
            "1.10.0",
            "1.9.0",
            "1.8.0",
            "1.7.0",
            "1.6.2",
            "1.6.1",
            "1.6.0",
            "1.5.0",
            "1.4.1",
            "1.4.0",
            "1.3.0",
            "1.2.1",
            "1.2.0",
            "1.1.3",
            "1.1.2",
            "1.1.1",
            "1.1.0",
            "1.0.2",
            "1.0.1",
            "1.0.0",
            "0.4.0",
            "0.3.0",
            "0.2.1",
            "0.2.0",
            "0.1.0",
            "0.0.3",
            "0.0.2",
            "alpha"
          ],
          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-57845.json"
          }
        }
      ],
      "modified": "2026-10-31T02:30:30.737370425Z",
      "provider": "osv",
      "references": [
        "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/57xxx/CVE-2026-57845.json",
        "https://nvd.nist.gov/vuln/detail/CVE-2026-57845",
        "https://www.vulncheck.com/advisories/hugging-face-datasets-pickle-deserialization-rce-via-pandas-builder",
        "https://github.com/huggingface/datasets/pull/8879",
        "https://github.com/huggingface/datasets",
        "https://github.com/SaiTeja-Erukude/CVE-2026-57845-hf-datasets-rce"
      ],
      "provider_metadata": {
        "cwe_ids": [
          "CWE-502"
        ],
        "cna_assigner": "VulnCheck",
        "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/57xxx/CVE-2026-57845.json"
      }
    },
    "related_cves": [
      {
        "value": "CVE-2026-57845",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 492103,
  "published_at": "2026-10-23T15:14:20.497+00:00"
}