wger: Cross-User Data Corruption via Missing Ownership Check on WorkoutLog.slot_entry

{
  "id": "19965b783ed41c91fceabf5395bb4aa272dbdd187873a6014738e74366fcac59",
  "url": "https://osv.dev/vulnerability/PYSEC-2026-4314",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "wger: Cross-User Data Corruption via Missing Ownership Check on WorkoutLog.slot_entry",
    "summary": "### Summary An authenticated attacker can inject arbitrary workout log entries into any other user's `SlotEntry` by supplying the victim's `slot_entry` ID in a `POST /api/v2/workoutlog/` request. The `slot_entry` foreign key is not included in the ownership verification performed by `WorkoutLogViewSet.get_owner_objects()`, so the server accepts and persists the cross-user reference without error. Because `SlotEntry.get_config_data()` retrieves associated logs via `self.workoutlog_set.all()` with **no user filter**, the attacker's injected data is silently folded into the victim's progressive-overload calculations, corrupting their auto-generated weight and repetition targets. ### Details wger uses a centralized ownership-verification pattern in `WgerOwnerObjectModelViewSet.create()` (file: `wger/utils/viewsets.py`). This method iterates over the list returned by each ViewSet's `get_owner_objects()` and verifies that every listed foreign-key value in the request belongs to the authenticated user. **Foreign keys not present in the list are never checked.** `WorkoutLogViewSet.get_owner_objects()` returns: ```python # File: wger/manager/api/views.py, lines 312-316 def get_owner_objects(self): return [(Routine, 'routine'), (WorkoutSession, 'session')] # ^^^^^^^ checked ^^^^^^^^^^^^^^^ checked # (SlotEntry, 'slot_entry') is MISSING ``` Because `slot_entry` is omitted, an attacker can supply their own `routine` (which passes the ownership check) alongside a victim's `slot_entry` ID ",
    "evidence": "osv:PYSEC-2026-4314",
    "products": [
      {
        "name": {
          "value": "wger",
          "evidence": "/affected/0/package/name"
        },
        "prerequisites": [],
        "fixed_versions": [],
        "affected_versions": [
          {
            "value": "1.1",
            "evidence": "/affected/0/versions"
          },
          {
            "value": "1.1.1",
            "evidence": "/affected/0/versions"
          },
          {
            "value": "1.2",
            "evidence": "/affected/0/versions"
          },
          {
            "value": "1.2rc1",
            "evidence": "/affected/0/versions"
          },
          {
            "value": "1.3",
            "evidence": "/affected/0/versions"
          },
          {
            "value": "1.4",
            "evidence": "/affected/0/versions"
          },
          {
            "value": "1.5",
            "evidence": "/affected/0/versions"
          },
          {
            "value": "1.6",
            "evidence": "/affected/0/versions"
          },
          {
            "value": "1.6.1",
            "evidence": "/affected/0/versions"
          },
          {
            "value": "1.7",
            "evidence": "/affected/0/versions"
          },
          {
            "value": "1.8",
            "evidence": "/affected/0/versions"
          },
          {
            "value": "1.9",
            "evidence": "/affected/0/versions"
          },
          {
            "value": "2.0",
            "evidence": "/affected/0/versions"
          },
          {
            "value": "2.1",
            "evidence": "/affected/0/versions"
          }
        ]
      }
    ],
    "severity": "medium",
    "structured": {
      "id": "PYSEC-2026-4314",
      "aliases": [
        "CVE-2026-46438",
        "GHSA-rjpf-7pf5-q54x",
        "PYSEC-2026-4314"
      ],
      "metrics": [
        {
          "type": "CVSS_V3",
          "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N"
        }
      ],
      "affected": [
        {
          "ranges": [
            {
              "type": "ECOSYSTEM",
              "events": [
                {
                  "introduced": "0"
                },
                {
                  "last_affected": "2.1"
                }
              ]
            }
          ],
          "package": {
            "name": "wger",
            "purl": "pkg:pypi/wger",
            "ecosystem": "PyPI"
          },
          "versions": [
            "1.1",
            "1.1.1",
            "1.2",
            "1.2rc1",
            "1.3",
            "1.4",
            "1.5",
            "1.6",
            "1.6.1",
            "1.7",
            "1.8",
            "1.9",
            "2.0",
            "2.1"
          ],
          "database_specific": {
            "source": "https://github.com/pypa/advisory-database/blob/main/vulns/wger/PYSEC-2026-4314.yaml"
          }
        }
      ],
      "modified": "2026-10-15T14:45:10.345926009Z",
      "provider": "osv",
      "references": [
        "https://github.com/wger-project/wger/security/advisories/GHSA-rjpf-7pf5-q54x",
        "https://github.com/wger-project/wger",
        "https://github.com/wger-project/wger/releases/tag/2.6",
        "https://pypi.org/project/wger",
        "https://github.com/advisories/GHSA-rjpf-7pf5-q54x",
        "https://nvd.nist.gov/vuln/detail/CVE-2026-46438"
      ]
    },
    "related_cves": [
      {
        "value": "CVE-2026-46438",
        "evidence": "/aliases"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/severity/0/score"
  },
  "source_id": "core-osv",
  "document_id": 332648,
  "published_at": "2026-10-15T10:22:47.153748+00:00"
}