Forensic Verification of
PostgreSQL Tenant Isolation

Institutional Database Forensics: A Deep Dive into Multi-Tenant Isolation

At Otobrix Labs, we believe that security is not a checkbox—it is a deterministic state of the database. Modern SaaS applications built on PostgreSQL and Supabase face a unique set of challenges that traditional web application firewalls (WAFs) and static code scanners cannot address. These vulnerabilities often hide in the **Search Path**, the **Security Context** of functions, and the complex interaction of **Row-Level Security (RLS)** policies during multi-table joins.

The Search Path Vulnerability Vector

One of the most overlooked attack vectors in PostgreSQL isolation is the `search_path` exploitation. When a function is defined as `SECURITY DEFINER`, it runs with the privileges of the user who created it (usually a superuser or the database owner). If the `search_path` is not explicitly set to a safe, immutable value, an attacker can hijack the execution context by creating an object (like a malicious operator or function) in a schema that precedes the intended one in the search path. Our forensic engine automatically audits every `SECURITY DEFINER` function for **Path Integrity**, ensuring that administrative escalation is mathematically impossible.

BOLA and RLS Policy Mutation Risks

Broken Object Level Authorization (BOLA) remains the #1 risk for multi-tenant platforms. In a Supabase environment, BOLA typically manifests as a failure in RLS policy logic during `UPDATE` or `DELETE` operations. A policy that looks secure for `SELECT` may accidentally allow a cross-tenant mutation because the `USING` and `WITH CHECK` clauses were either missing or semantically flawed. Otobrix Labs utilizes a **Proprietary Mutation Engine** that simulates thousands of unauthorized requests, covering every possible permutation of tenant-ID hijacking and JWT claim falsification.

Multi-Hop Attack Surfaces & Transitive Privilege Tracing

Most security audits fail because they check isolation at a single node level (e.g., "Can User A see Table B?"). In high-stakes SaaS environments, the real risk lies in **Transitive Privilege Tracing**. This occurs when a seemingly secure table is exposed through a sequence of trusted relationships—a View that joins a Function which executes as a Superuser, which in turn outputs data from a restricted schema. Our Otobrix v7.2.1 suite executes recursive graph traversals up to 10 nodes deep, identifying these "hidden bridges" that attackers use to pivot between tenant boundaries.

Deterministic Proof for SOC2 Type II & ISO 27001

Institutional compliance officers increasingly demand more than just a passing pentest report; they require **Technical Safeguard Documentation** that proves the efficacy of internal controls. By executing our forensic suite against a "Digital Twin" of your database, we produce a comprehensive evidence trail that shows not just that your database *is* secure, but *why* it is secure. This includes multi-hop attack graphs that visualize the movement of data across your schema and verified remediation SQL that hardens your infrastructure against future regressions.

Automated Regression Guardrails for CI/CD

The greatest risk to a secure database is the next deployment. A single junior developer modifying a `JOIN` or adding a new `POLICY` can inadvertently create a data leak that remains silent for months. Our "Strategic Partner" tier implements **Deterministic Guardrails** directly into your CI/CD pipeline. Every PR is audited against your baseline security state, ensuring that any code that weakens your multi-tenant isolation is blocked before it reaches production. This level of continuous forensic oversight is what transforms a "Secure Product" into an "Institutional Standard."