docTR through 1.1.0 Unsafe Deserialization RCE via load_pretrained_params()

{
  "id": "2359c9de18dcbd35856e816eedf8b1947009171defe4075b654db196bb6cda69",
  "url": "https://osv.dev/vulnerability/CVE-2026-112304",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "docTR through 1.1.0 Unsafe Deserialization RCE via load_pretrained_params()",
    "summary": "docTR through 1.1.0 contains an unsafe deserialization vulnerability in load_pretrained_params() that loads checkpoints with torch.load without weights_only=True. Attackers who control a local or URL-supplied checkpoint can embed a malicious pickle payload to execute Python code with the loading process's privileges on torch releases before 2.6.",
    "evidence": "osv:CVE-2026-112304",
    "products": [],
    "severity": "high",
    "structured": {
      "id": "CVE-2026-112304",
      "aliases": [
        "CVE-2026-112304"
      ],
      "metrics": [
        {
          "type": "CVSS_V4",
          "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N"
        }
      ],
      "affected": [
        {
          "ranges": [
            {
              "repo": "https://github.com/mindee/doctr",
              "type": "GIT",
              "events": [
                {
                  "introduced": "0"
                },
                {
                  "fixed": "687503dd15592483c4699ee51280b41938579a9e"
                }
              ],
              "database_specific": {
                "extracted_events": [
                  {
                    "range": [
                      {
                        "introduced": "0"
                      },
                      {
                        "last_affected": "1.1.0"
                      }
                    ],
                    "source": "AFFECTED_FIELD",
                    "strategy": "StandardRange"
                  },
                  {
                    "range": [
                      {
                        "fixed": "687503dd15592483c4699ee51280b41938579a9e"
                      }
                    ],
                    "source": "REFERENCES_COMMIT"
                  }
                ]
              }
            }
          ],
          "versions": [
            "v1.1.0",
            "v1.0.1",
            "v1.0.0",
            "v0.12.0",
            "v0.11.0",
            "v0.10.0",
            "v0.9.0",
            "v0.8.1",
            "v0.8.0",
            "v0.7.0",
            "v0.6.0",
            "v0.4.1",
            "v0.5.1",
            "v0.5.0",
            "v0.4.0",
            "v0.3.1",
            "v0.3.0",
            "v0.2.1",
            "v0.2.0",
            "v0.1.1",
            "v0.1.0",
            "v0.1-models"
          ],
          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-112304.json"
          }
        }
      ],
      "modified": "2026-10-28T02:30:35.541573514Z",
      "provider": "osv",
      "references": [
        "https://pypi.org",
        "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/112xxx/CVE-2026-112304.json",
        "https://nvd.nist.gov/vuln/detail/CVE-2026-112304",
        "https://www.vulncheck.com/advisories/doctr-through-1.1.0-unsafe-deserialization-rce-via-load-pretrained-params",
        "https://github.com/mindee/doctr/issues/2175",
        "https://github.com/mindee/doctr/commit/687503dd15592483c4699ee51280b41938579a9e",
        "https://github.com/mindee/doctr",
        "https://github.com/mindee/doctr/blob/v1.1.0/doctr/models/utils/pytorch.py"
      ],
      "provider_metadata": {
        "cwe_ids": [
          "CWE-502"
        ],
        "cna_assigner": "VulnCheck",
        "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/112xxx/CVE-2026-112304.json"
      }
    },
    "related_cves": [
      {
        "value": "CVE-2026-112304",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 502984,
  "published_at": "2026-10-19T15:28:54.688+00:00"
}