Source Code Review
Finding vulnerabilities at their origin — in the code itself.
Why This Matters
SAST tools produce 60-80% false positive rates. They can't understand business logic, architectural context, or chained vulnerabilities. Manual review by security engineers finds the real vulnerabilities.
Security starts in the code. Our engineers read your codebase line-by-line, tracing data flows from user input to database queries, understanding your authentication architecture, and finding the subtle vulnerabilities that automated SAST tools generate false positives for.
We don't just scan — we understand your code's intent and find where the implementation deviates from secure design. Hardcoded secrets, insecure cryptographic implementations, race conditions, and logic flaws that only human review can catch.
Key Focus Areas
Data Flow Analysis
Tracing user input from entry points through processing logic to output/storage — identifying every injection and sanitization gap.
Auth Architecture Review
Authentication flow analysis, session management implementation, password handling, and authorization enforcement at every layer.
Secret Detection
Hardcoded API keys, database credentials, encryption keys, and sensitive configuration in source code and version history.
Framework-Specific Flaws
Language and framework-specific vulnerability patterns — Django ORM injection, Rails mass assignment, React XSS, Node.js prototype pollution.
Cryptographic Review
Algorithm selection, key management, random number generation, and implementation flaws in encryption, hashing, and signing operations.
Dependency Audit
Known vulnerable dependencies, transitive dependency risks, and supply chain security assessment of third-party packages.
How We Work
Architecture Understanding
Reviewing system architecture documents, data flow diagrams, and understanding the codebase structure before diving into code.
SAST as Baseline
Running automated static analysis tools to establish a baseline — then manually triaging every result to eliminate false positives.
Manual Critical Path Review
Line-by-line review of authentication, authorization, payment processing, data handling, and other security-critical code paths.
Data Flow Tracing
Following user input from HTTP request through middleware, controllers, services, and database queries to identify sanitization gaps.
Pattern-Based Analysis
Searching for known vulnerability patterns specific to your language, framework, and architecture.
Annotated Report
Every finding linked to specific file:line references with before/after code examples and secure implementation guidance.
What You Get
- Annotated Code Review Report
- Vulnerability-to-Code-Line Mapping
- Secure Coding Guidelines for Your Stack
- Dependency Vulnerability Assessment
- Architecture Improvement Recommendations
- Before/after code fix examples
Tools & Frameworks
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