The 8 Critical Logic Attack Surfaces
That Automated Scanners Miss
Automated vulnerability scanners search for outdated syntax patterns and known CVE signatures. But in modern multi-tenant SaaS and microservices, the most catastrophic vulnerabilities exist entirely in authorization and business logic.
Why Automated Scanners Cannot Understand Authorization Logic
When an attacker exploits a Broken Object Level Authorization (BOLA) vulnerability to view another tenant's financial invoices, the server returns an HTTP 200 OK response with well-formed JSON.
To an automated scanner, an HTTP 200 response with clean JSON appears completely healthy. The scanner has no knowledge of user ownership, tenancy boundaries, or organizational segregation. Only a human practitioner who models your authentication state can verify that User A was never permitted to inspect User B's records.
8 Attack Surfaces Examined During Manual Assessments
OWASP & PTES Aligned1. Broken Object Level Authorization (BOLA / IDOR)
OWASP API 1:2023 · Authorization BoundaryAttackers manipulate resource IDs (e.g., /invoices/9843) to access customer data belonging to other tenants. Scanners cannot detect this because the server returns a valid 200 OK status code without syntax errors.
2. Tenant Row-Level Security (RLS) Escapes
Database Isolation · Multi-TenancyDatabase queries that omit tenant scoping filters or async background jobs operating under ambient service accounts, streaming cross-tenant records into export files.
3. Broken Function Level Authorization (BFLA)
OWASP API 5:2023 · Privilege EscalationLow-privilege workspace members altering API payloads or parameters to access administrative endpoints (e.g. promoting their own user role to Owner).
4. Flawed JWT Verification & Replay
OWASP API 2:2023 · Authentication IntegrityToken validators accepting 'alg: none', failing to enforce asymmetric RS256 signing keys, or permitting token replay due to missing atomic jti nonce checks.
5. Business Logic & Payment Race Conditions
Business Logic Flaws · Financial IntegrityState workflow flaws such as concurrent checkout requests applying single-use credits multiple times, subscription tier parameter tampering, or negative balances.
6. AI & RAG Vector Search Context Leakage
OWASP LLM 08:2025 · Vector Data IsolationSemantic similarity searches querying vector databases without strict metadata filtering, exposing confidential board decks or private customer data from adjacent tenants.
7. Webhook Timing & Replay Vulnerabilities
API Integrity · Event Driven SecurityWebhook consumers using non-constant-time string comparison for HMAC signatures or accepting events outside timestamp tolerance windows, allowing replay attacks.
8. Cloud IAM Least-Privilege & Bucket Exposure
CIS Cloud Benchmarks · Infrastructure HardeningOver-privileged IAM roles attached to microservice containers allowing lateral movement across cloud infrastructure and public read/write exposure on S3/GCS buckets.
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