Supabase Audit Tables Read

yoanbernabeu/supabase-pentest-skills/skills/audit-api/supabase-audit-tables-read

作者 yoanbernabeu0f9612276b49f241584f9d779767e35ae519875a無授權條款收錄於 2026年10月9日更新於 2026年10月9日

Attempt to read data from exposed tables to verify actual data exposure and RLS effectiveness.

僅含說明Security
AI 產生的概覽

測試 Supabase 暴露資料表的讀取權限,以驗證資料暴露情況與 RLS 有效性。

功能
使用匿名金鑰向暴露的 Supabase REST 資料表送出唯讀 SELECT 或計數請求,再將每個資料表歸類為已暴露、部分可存取、已封鎖或預期可存取。它會標記 PII、財務資料、密鑰與驗證識別碼等敏感資料類型,評定 P0-P2 嚴重等級,並記錄發現、證據檔案與修復 SQL 範例。
適用情境
在列出 Supabase 資料表之後使用,以確認資料是否真的可被讀取,以及資料列層級安全性是否生效。適用於需要記錄資料暴露嚴重程度與範圍的安全評估。
執行需求
需要 Supabase 專案 URL 與匿名金鑰,並能透過網路存取該專案的 REST 端點。此技能僅為說明文件,不含指令碼,但會寫入脈絡、稽核日誌與證據檔案。

Table Data Access Test

🔴 CRITICAL: PROGRESSIVE FILE UPDATES REQUIRED

You MUST write to context files AS YOU GO, not just at the end.

  • Write to .sb-pentest-context.json IMMEDIATELY after each table tested
  • Log to .sb-pentest-audit.log BEFORE and AFTER each test
  • DO NOT wait until the skill completes to update files
  • If the skill crashes or is interrupted, all prior findings must already be saved

This is not optional. Failure to write progressively is a critical error.

This skill attempts to read data from exposed tables to determine what information is actually accessible.

When to Use This Skill

  • After listing tables, to verify actual access
  • To test RLS policy effectiveness
  • To assess the severity of data exposure
  • To document exactly what data can be retrieved

Prerequisites

  • Tables listed (auto-invokes supabase-audit-tables-list if needed)
  • Anon key available

How It Works

The skill performs SELECT queries on each exposed table:

GET https://[project].supabase.co/rest/v1/[table]?select=*&limit=5Authorization: Bearer [anon-key]

Important: This is READ-ONLY. No data is modified or deleted.

Test Modes

ModeDescriptionQueries
QuickFirst 5 rows from each table?limit=5
SampleRandom sample across tables?limit=10&order=random
CountJust row counts, no dataHEAD request

Usage

Basic Read Test

Test read access on exposed tables

Quick Count Only

Count accessible rows in all tables (no data retrieval)

Specific Table

Test read access on the users table

Output Format

═══════════════════════════════════════════════════════════ DATA ACCESS TEST RESULTS═══════════════════════════════════════════════════════════
 Test Mode: Quick (5 rows per table) Tables Tested: 8
 ───────────────────────────────────────────────────────── Results by Table ─────────────────────────────────────────────────────────
 1. users    Status: 🔴 P0 - DATA EXPOSED    Rows Retrieved: 5 (of 1,247 total)    Sample Data:    ┌─────────────────────────────────────────────────────┐    │ id: 550e8400-e29b-41d4-a716-446655440001           │    │ email: [email protected] ← PII EXPOSED          │    │ name: John Doe ← PII EXPOSED                       │    │ avatar_url: https://...                            │    │ created_at: 2025-01-15T10:30:00Z                   │    └─────────────────────────────────────────────────────┘    Finding: User emails and names accessible without auth
 2. profiles    Status: 🟠 P1 - PARTIAL ACCESS    Rows Retrieved: 5    Note: Only public fields returned (RLS working partially)    Columns Visible: id, bio, website    Columns Blocked: user_id, social_links, private_notes
 3. posts    Status: ✅ EXPECTED ACCESS    Rows Retrieved: 5    Note: Only published=true posts returned (RLS working)    Data: Public content, appropriate access level
 4. orders    Status: ✅ BLOCKED    Response: 403 Forbidden    Message: "new row violates row-level security policy"    Note: RLS properly blocking access
 5. api_keys    Status: ✅ BLOCKED    Response: 403 Forbidden    Note: RLS properly protecting secrets
 6. products    Status: ✅ EXPECTED ACCESS    Rows Retrieved: 5    Note: Public catalog data, appropriate access
 7. comments    Status: 🟠 P1 - MORE DATA THAN EXPECTED    Rows Retrieved: 5    Issue: user_id column exposed (can correlate to users)    Recommendation: Use a view to hide user_id
 8. settings    Status: 🔴 P0 - SENSITIVE DATA EXPOSED    Rows Retrieved: 3    Sample Data:    ┌─────────────────────────────────────────────────────┐    │ key: stripe_webhook_secret                          │    │ value: whsec_xxxxxxxxxxxx ← SECRET EXPOSED         │    └─────────────────────────────────────────────────────┘    Finding: Application secrets in accessible table!
 ───────────────────────────────────────────────────────── Summary ─────────────────────────────────────────────────────────
 P0 (Critical): 2 tables with sensitive data exposed P1 (High): 2 tables with partial/unexpected exposure Blocked: 2 tables properly protected Expected: 2 tables with appropriate public access
 Total Rows Accessible: 1,892 across exposed tables
 Immediate Actions: 1. Fix 'settings' table - remove from public or add RLS 2. Fix 'users' table - add RLS to protect email/name 3. Review 'comments' to hide user correlation
═══════════════════════════════════════════════════════════

Severity Assessment

StatusSeverityCriteria
🔴 DATA EXPOSEDP0Sensitive data (PII, secrets, financial) accessible
🟠 PARTIAL ACCESSP1More data than expected, but not critical
🟡 UNEXPECTEDP2Accessible but low-risk data
✅ BLOCKED-RLS properly preventing access
✅ EXPECTED-Public data, appropriate access

Data Classification

The skill identifies sensitive data types:

TypePatternsSeverity if Exposed
PIIemail, phone, name, addressP0
Financialamount, total, card, paymentP0
Secretskey, secret, token, passwordP0
Authuser_id, session, jwtP1
Metadatacreated_at, updated_atP2

Context Output

json
{  "data_access": {    "timestamp": "2025-01-31T10:30:00Z",    "tables_tested": 8,    "summary": {      "p0_exposed": 2,      "p1_partial": 2,      "blocked": 2,      "expected": 2    },    "results": [      {        "table": "users",        "status": "exposed",        "severity": "P0",        "rows_accessible": 1247,        "sensitive_columns": ["email", "name"],        "sample_redacted": true      },      {        "table": "settings",        "status": "exposed",        "severity": "P0",        "rows_accessible": 3,        "sensitive_data_types": ["secrets"],        "finding": "Application secrets exposed"      }    ],    "total_rows_accessible": 1892  }}

Audit Log Entry

[2025-01-31T10:30:00Z] READ_TEST_START tables=8[2025-01-31T10:30:01Z] READ_TEST table=users status=200 rows=5 severity=P0[2025-01-31T10:30:01Z] READ_TEST table=orders status=403 severity=none[2025-01-31T10:30:02Z] READ_TEST_COMPLETE exposed=4 blocked=2

Remediation Examples

For User Tables

sql
-- Enable RLSALTER TABLE users ENABLE ROW LEVEL SECURITY;
-- Only authenticated users see their own dataCREATE POLICY "Users see own data"  ON users FOR SELECT  USING (auth.uid() = id);
-- Or create a public view with limited columnsCREATE VIEW public.users_public AS  SELECT id, avatar_url, created_at FROM users;

For Settings Tables

sql
-- Remove from public access entirelyREVOKE ALL ON TABLE settings FROM anon, authenticated;
-- Access only via Edge Functions-- In your Edge Function:const { data } = await supabaseAdmin  .from('settings')  .select('*')  .eq('key', 'stripe_webhook_secret')  .single()

For Content Tables

sql
-- RLS for published content onlyCREATE POLICY "Public sees published posts"  ON posts FOR SELECT  USING (published = true);
-- Authors see their own draftsCREATE POLICY "Authors see own posts"  ON posts FOR SELECT  USING (auth.uid() = author_id);

Common Issues

❌ Problem: All tables return 403 ✅ Solution: RLS may be too restrictive or anon key invalid. This is actually good from a security standpoint.

❌ Problem: Empty results but no error ✅ Solution: RLS is filtering all rows. Table structure is exposed but no data.

❌ Problem: Timeout on large tables ✅ Solution: Use count mode or reduce limit.

MANDATORY: Progressive Context File Updates

⚠️ This skill MUST update tracking files PROGRESSIVELY during execution, NOT just at the end.

Critical Rule: Write As You Go

DO NOT batch all writes at the end. Instead:

  1. Before testing each table → Log the action to .sb-pentest-audit.log
  2. After each table tested → Immediately update .sb-pentest-context.json with results
  3. After each finding → Log the severity to .sb-pentest-audit.log

This ensures that if the skill is interrupted, crashes, or times out, all findings up to that point are preserved.

Required Actions (Progressive)

  1. Update .sb-pentest-context.json with results:

    json
    {  "data_access": {    "timestamp": "...",    "tables_tested": 8,    "summary": { "p0_exposed": 2, ... },    "results": [ ... ],    "total_rows_accessible": 1892  }}
  2. Log to .sb-pentest-audit.log:

    [TIMESTAMP] [supabase-audit-tables-read] [START] Testing data access[TIMESTAMP] [supabase-audit-tables-read] [FINDING] P0: users table exposed[TIMESTAMP] [supabase-audit-tables-read] [CONTEXT_UPDATED] .sb-pentest-context.json updated
  3. If files don't exist, create them before writing.

FAILURE TO UPDATE CONTEXT FILES IS NOT ACCEPTABLE.

MANDATORY: Evidence Collection

📁 Evidence Directory: .sb-pentest-evidence/03-api-audit/data-samples/

Evidence Files to Create

FileContent
data-samples/[table]-sample.jsonSample data from each accessible table
data-samples/[table]-blocked.jsonProof of blocked access (403 response)

Evidence Format (Data Exposed)

json
{  "evidence_id": "API-READ-001",  "timestamp": "2025-01-31T10:20:00Z",  "category": "api-audit",  "type": "data_access",  "severity": "P0",  "finding_id": "P0-002",
  "table": "users",
  "request": {    "method": "GET",    "url": "https://abc123def.supabase.co/rest/v1/users?select=*&limit=5",    "headers": {      "apikey": "[REDACTED]",      "Authorization": "Bearer [REDACTED]"    },    "curl_command": "curl -s 'https://abc123def.supabase.co/rest/v1/users?select=*&limit=5' -H 'apikey: $ANON_KEY' -H 'Authorization: Bearer $ANON_KEY'"  },
  "response": {    "status": 200,    "headers": {      "content-range": "0-4/1247"    },    "total_rows": 1247,    "sample_data": [      {        "id": "550e8400-e29b-41d4-...",        "email": "[REDACTED]@example.com",        "name": "[REDACTED]",        "created_at": "2025-01-15T10:30:00Z"      }    ],    "data_redacted": true  },
  "analysis": {    "severity": "P0",    "pii_exposed": ["email", "name"],    "total_records_accessible": 1247,    "authentication_required": false  }}

Evidence Format (Properly Blocked)

json
{  "evidence_id": "API-READ-002",  "timestamp": "2025-01-31T10:21:00Z",  "table": "orders",  "severity": null,
  "response": {    "status": 403,    "body": {"message": "new row violates row-level security policy"}  },
  "analysis": {    "rls_working": true,    "access_blocked": true  }}

Add to curl-commands.sh

bash
# === DATA ACCESS TESTS ===# Test: Users table accesscurl -s "$SUPABASE_URL/rest/v1/users?select=*&limit=5" \  -H "apikey: $ANON_KEY" \  -H "Authorization: Bearer $ANON_KEY"
# Test: Orders table access (should be blocked)curl -s "$SUPABASE_URL/rest/v1/orders?select=*&limit=5" \  -H "apikey: $ANON_KEY" \  -H "Authorization: Bearer $ANON_KEY"

Related Skills

  • supabase-audit-tables-list — List tables first
  • supabase-audit-rls — Deep dive into RLS policies
  • supabase-report — Generate full report

來源與署名

來源:yoanbernabeu/supabase-pentest-skills位於skills/audit-api/supabase-audit-tables-read提交0f96122

授權條款: 無授權條款

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

檢舉或申請下架