LMDeploy vulnerable to arbitrary code execution via eval() of untrusted quant_dtype in model config loading

{
  "id": "2d4048825c0eb843ff2f22bf69dbea553d320d70d9b1661232d3d6def0f3f8bf",
  "url": "https://osv.dev/vulnerability/CVE-2026-33625",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "LMDeploy vulnerable to arbitrary code execution via eval() of untrusted quant_dtype in model config loading",
    "summary": "LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions 012.1 through 0.12.2 contain a code injection vulnerability in `lmdeploy/pytorch/config.py` line 620 that allows an attacker to execute arbitrary Python code by publishing a malicious HuggingFace model with a crafted `quantization_config.quant_dtype` value. When a user loads the model with lmdeploy, the `quant_dtype` is passed to `eval(f'torch.{quant_dtype}')` without any validation. Version 0.12.3 contains a patch.",
    "evidence": "osv:CVE-2026-33625",
    "products": [],
    "severity": "high",
    "structured": {
      "id": "CVE-2026-33625",
      "aliases": [
        "CVE-2026-33625",
        "GHSA-3hmm-rh5q-gwwr",
        "PYSEC-2026-4078"
      ],
      "metrics": [
        {
          "type": "CVSS_V3",
          "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"
        }
      ],
      "affected": [
        {
          "ranges": [
            {
              "repo": "https://github.com/internlm/lmdeploy",
              "type": "GIT",
              "events": [
                {
                  "introduced": "e5df4e8336cd44a1c6e3e358ebd8c9b246932d99"
                },
                {
                  "fixed": "8ea459f49ed9cd943481073011424919e31e3e3b"
                }
              ],
              "database_specific": {
                "extracted_events": [
                  {
                    "range": [
                      {
                        "introduced": "0.12.1"
                      },
                      {
                        "fixed": "0.12.3"
                      }
                    ],
                    "source": "AFFECTED_FIELD",
                    "strategy": "StringRangeExpression"
                  },
                  {
                    "range": [
                      {
                        "fixed": "8ea459f49ed9cd943481073011424919e31e3e3b"
                      }
                    ],
                    "source": "REFERENCES_TAG",
                    "original_tag": "v0.12.3"
                  }
                ]
              }
            }
          ],
          "versions": [
            "v0.12.2",
            "v0.12.1"
          ],
          "database_specific": {
            "source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-33625.json"
          }
        }
      ],
      "modified": "2026-10-28T02:30:35.832234880Z",
      "provider": "osv",
      "references": [
        "https://github.com/InternLM/lmdeploy/releases/tag/v0.12.3",
        "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/33xxx/CVE-2026-33625.json",
        "https://github.com/InternLM/lmdeploy/security/advisories/GHSA-3hmm-rh5q-gwwr",
        "https://nvd.nist.gov/vuln/detail/CVE-2026-33625"
      ],
      "provider_metadata": {
        "cwe_ids": [
          "CWE-400"
        ],
        "cna_assigner": "GitHub_M",
        "osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/33xxx/CVE-2026-33625.json"
      }
    },
    "related_cves": [
      {
        "value": "CVE-2026-33625",
        "evidence": "/id"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 503351,
  "published_at": "2026-09-18T17:13:37.133+00:00"
}