Attacker Impact
An attacker can gain unauthorized access to sensitive user data, modify database records, or hijack infrastructure by exploiting common oversights in MVP deployments. This includes accessing cross-tenant data due to missing access controls [S4] or using leaked API keys to incur costs and exfiltrate data from integrated services [S2].
Root Cause
In the rush to launch an MVP, developers—especially those using AI-assisted "vibe coding"—frequently overlook foundational security configurations. The primary drivers of these vulnerabilities are:
- Secret Leakage: Credentials, such as database strings or AI provider keys, are accidentally committed to version control [S2].
- Broken Access Control: Applications fail to enforce strict authorization boundaries, allowing users to access resources belonging to others [S4].
- Permissive Database Policies: In modern BaaS (Backend-as-a-Service) setups like Supabase, failing to enable and correctly configure Row Level Security (RLS) leaves the database open to direct exploitation via client-side libraries [S5].
- Weak Token Management: Improper handling of authentication tokens can lead to session hijacking or unauthorized API access [S3].
Concrete Fixes
Implement Row Level Security (RLS)
For applications using Postgres-based backends like Supabase, RLS must be enabled on every table. RLS ensures that the database engine itself enforces access constraints, preventing a user from querying another user's data even if they have a valid authentication token [S5].
Automate Secret Scanning
Integrate secret scanning into the development workflow to detect and block the push of sensitive credentials like API keys or certificates [S2]. If a secret is leaked, it must be revoked and rotated immediately, as it should be considered compromised [S2].
Enforce Strict Token Practices
Follow industry standards for token security, including using secure, HTTP-only cookies for session management and ensuring tokens are sender-constrained where possible to prevent reuse by attackers [S3].
Apply General Web Security Headers
Ensure the application implements standard web security measures, such as Content Security Policy (CSP) and secure transport protocols, to mitigate common browser-based attacks [S1].
How FixVibe tests for it
FixVibe already covers this data-leak class across multiple live scan surfaces:
- Supabase RLS ekspoze:
baas.supabase-rlsekstrè piblik Supabase URL/anon-key pè soti nan pakèt menm orijin, enimere tablo yo ekspoze, SELECTGRES ak konfimasyon chèk li yo. si wi ou non done tab yo ekspoze.
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- Repo RLS gaps:
baas.supabase-rlsrevize repozitwa Supabase otorize migrasyon SQL pou tab piblik ki kreye san yo pa yon migrasyon Supabase.
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- Supabase depo pwèstans:
baas.supabase-rlsrevize metadata bokit Depo piblik ak ekspoze lis anonim san yo pa telechaje oswa chanje done kliyan yo.
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- Sekrè ak pozisyon navigatè:
baas.supabase-rls, Supabase, ak Supabase drapo koule kalifikasyon kliyan-bò, ki manke en-tête navigatè redi, ak drapo otorizasyon fèb.
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- Sondaj kontwòl aksè ki fèmen: lè kliyan an pèmèt analiz aktif epi yo verifye pwopriyetè domèn,
baas.supabase-rlsak Supabase te dekouvri wout pou ekspoze done kwa-resous ak lokatè IDOR/BOLA-style. - Repo RLS gaps:
repo.supabase.missing-rlsreviews authorized GitHub repository SQL migrations for public tables that are created without a matchingALTER TABLE ... ENABLE ROW LEVEL SECURITYmigration. - Supabase storage posture:
baas.supabase-security-checklist-backfillreviews public Storage bucket metadata and anonymous listing exposure without uploading or mutating customer data. - Secrets and browser posture:
secrets.js-bundle-sweep,headers.security-headers, andheaders.cookie-attributesflag leaked client-side credentials, missing browser hardening headers, and weak auth-cookie flags. - Gated access-control probes: when the customer enables active scans and domain ownership is verified,
active.idor-walkingandactive.tenant-isolationtest discovered routes for IDOR/BOLA-style cross-resource and cross-tenant data exposure.
