Data Security & Encryption

If you're looking to conduct code and architecture reviews with a focus on security, here’s a structured approach tailored for HKIT Security (or similar security-driven contexts):

Preparation

  1. Understand the Context
    • Objective : Clarify the purpose of the review (e.g., identifying vulnerabilities, improving architecture resilience).
    • Scope : Define the boundaries of the review (specific modules, entire codebase, or architecture diagrams).
    • Compliance Standards : Identify any regulatory or organizational standards (e.g., OWASP, ISO 27001, NIST).
  2. Gather Resources
    • Documentation : Architectural diagrams, data flow diagrams, and design specifications.
    • Codebase : Full access to the code repository and build processes.
    • Tools : Select static analysis tools (e.g., SonarQube, Checkmarx) and dynamic testing tools (e.g., OWASP ZAP, Burp Suite).
    • Access : Permissions to test environments and sandbox systems.

Architecture Review

Key Focus Areas
  1. Threat Modeling
    • Assess risks and potential attack vectors using frameworks like STRIDE or PASTA.
    • Identify critical assets and entry points for attackers.
  2. Design Principles
    • Separation of Concerns : Ensure logical isolation between components.
    • Least Privilege : Verify that roles, components, and services operate with minimum required permissions.
    • Fail-Safe Defaults : Evaluate how the system responds to unexpected conditions.
  3. Data Protection
    • Evaluate how sensitive data is stored, transmitted, and processed.
    • Verify encryption standards (e.g., AES-256, TLS 1.2+).
  4. Authentication and Authorization
    • Ensure robust identity management mechanisms (e.g., OAuth2, SSO).
    • Validate session handling, including expiration and invalidation processes.
  5. Scalability and Resilience
    • Assess system's ability to handle load under DoS or DDoS scenarios.
    • Review disaster recovery plans.

Code Review

Automated Analysis
  • Run static analysis tools to detect vulnerabilities (e.g., SQL Injection, XSS, insecure deserialization).
  • Use dependency scanners to identify outdated or vulnerable libraries (e.g., Snyk, Dependabot).
Manual Review

Focus on:

  1. Input Validation
    • Check all inputs for validation and sanitization.
    • Use allowlists where possible.
  2. Error Handling
    • Review error messages to ensure they don’t expose sensitive data.
    • Validate proper logging of exceptions.
  3. Authentication & Session Management:
    • Ensure passwords are hashed using secure algorithms (e.g., bcrypt).
    • Review session cookies for secure, HttpOnly, and SameSite attributes.
  4. Data Handling:
    • Validate secure data storage (e.g., encryption of PII).
    • Ensure sensitive data isn't logged.
  5. Third-Party Interactions:
    • Verify API calls and ensure proper authentication (e.g., API keys, tokens).
    • Evaluate the security of external libraries and dependencies.

Reporting

Deliverables
  1. Findings Document
    • Prioritize vulnerabilities based on impact (e.g., CVSS scores).
    • Highlight architectural risks and improvement suggestions.
  2. Recommendations
    • Include actionable steps for mitigation.
    • Propose enhancements aligned with best practices.
  3. Executive Summary
    • Provide high-level insights for stakeholders.
    • Focus on business risks and strategic improvements.

Post-Review Actions

  • Mitigation : Work with development teams to fix identified vulnerabilities.
  • Revalidation : Perform follow-up reviews to verify fixes.
  • Continuous Monitoring : Implement tools and processes for ongoing security checks.
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