GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

PYSEC-2026-2852

Vulnerability from pysec - Published: 2026-07-13 15:46 - Updated: 2026-07-13 16:05
VLAI
Details

OpenMed before 1.5.2 contains a remote code execution vulnerability in the PII privacy-filter model loading path. The privacy-filter dispatcher used broad substring matching on the user-supplied model_name parameter, allowing a value such as attacker/foo-privacy-filter-bar to route through a path that loads Hugging Face models with trust_remote_code=True. An unauthenticated attacker can supply a malicious model repository containing custom Transformers code via auto_map in config.json or tokenizer_config.json, which is imported and executed with the privileges of the OpenMed service process.

Impacted products
Name purl
openmed pkg:pypi/openmed

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "openmed",
        "purl": "pkg:pypi/openmed"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.5.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.1",
        "0.1.1",
        "0.1.10",
        "0.1.10rc1",
        "0.1.4",
        "0.1.5",
        "0.1.7",
        "0.1.8",
        "0.1.8rc0",
        "0.1.8rc2",
        "0.1.9",
        "0.1.9rc1",
        "0.2.0",
        "0.2.0rc1",
        "0.2.0rc2",
        "0.2.1",
        "0.2.2",
        "0.3.0",
        "0.4.0",
        "0.5.0",
        "0.5.1",
        "0.5.5",
        "0.5.6",
        "0.5.7",
        "0.5.8",
        "0.6.0",
        "0.6.1",
        "0.6.2",
        "0.6.3",
        "0.6.4",
        "1.0.0",
        "1.1.0",
        "1.2.0",
        "1.3.0",
        "1.4.0",
        "1.5.0",
        "1.5.1"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-47117",
    "GHSA-m3v4-v5gx-7wf5"
  ],
  "details": "OpenMed before 1.5.2 contains a remote code execution vulnerability in the PII privacy-filter model loading path. The privacy-filter dispatcher used broad substring matching on the user-supplied `model_name` parameter, allowing a value such as `attacker/foo-privacy-filter-bar` to route through a path that loads Hugging Face models with `trust_remote_code=True`. An unauthenticated attacker can supply a malicious model repository containing custom Transformers code via auto_map in `config.json` or `tokenizer_config.json`, which is imported and executed with the privileges of the OpenMed service process.",
  "id": "PYSEC-2026-2852",
  "modified": "2026-07-13T16:05:26.552851Z",
  "published": "2026-07-13T15:46:14.064755Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-47117"
    },
    {
      "type": "WEB",
      "url": "https://github.com/maziyarpanahi/openmed/pull/59"
    },
    {
      "type": "WEB",
      "url": "https://github.com/maziyarpanahi/openmed/commit/98724f65df98d7518b9006e6356740aa36c2f224"
    },
    {
      "type": "WEB",
      "url": "https://github.com/maziyarpanahi/openmed/releases/tag/v1.5.2"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/openmed-remote-code-execution-via-pii-model-loading"
    },
    {
      "type": "PACKAGE",
      "url": "github.com/maziyarpanahi/openmed"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/openmed"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-m3v4-v5gx-7wf5"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "OpenMed vulnerable to remote code injection through privacy-filter model loading path"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


Loading…