Secure Source Code Review
Identify security vulnerabilities at the source code level through combined static analysis and manual expert review. The service covers Python/Django applications with SAST tooling (Semgrep, Bandit), manual code inspection for business logic flaws, dependency security analysis, and framework-specific security pattern assessment. Findings are mapped to OWASP Top 10 and CWE classifications.
Secure Source Code Review is a service that identifies security vulnerabilities, coding weaknesses, and framework misconfigurations at the source code level. The review combines automated static application security testing (SAST) with manual expert analysis to detect issues that automated tools miss, including business logic flaws, insecure data handling patterns, and framework-specific vulnerabilities. The service is designed primarily for Python and Django applications but the methodology applies to any web application codebase. It supports compliance verification under ISO 27001, SOC 2, and GDPR Article 32 by providing evidence of secure coding practices.
What are the results of this service?
The review delivers findings across three layers: automated SAST results from tools such as Semgrep and Bandit covering common vulnerability patterns (injection, authentication bypass, hardcoded credentials, insecure deserialization); manual code review findings covering business logic issues, authorization flaws, race conditions, and data leakage patterns that automated tools cannot detect; and a dependency security analysis cataloguing all third-party packages with known CVEs, outdated versions, and licensing risks. For Django applications specifically, the review assesses settings security (SECRET_KEY handling, DEBUG mode, ALLOWED_HOSTS), middleware chain configuration, ORM query patterns for injection risks, template rendering security, CSRF and session management, authentication backend implementation, and Django REST Framework serializer validation. Deliverables include a findings report with CWE and OWASP Top 10 classification, severity scoring, code-level remediation examples, and a prioritised fix list that developers can integrate directly into sprint backlogs.
How does this service help you?
Engineering leads and CTOs gain visibility into code-level security risks before they reach production, reducing the cost and impact of remediation. Developers receive specific code examples showing both the vulnerability and the fix, enabling immediate action. Security teams obtain evidence of code-level security assessment for compliance reporting and audit preparation. Teams preparing for SOC 2 or ISO 27001 can demonstrate secure development practices through the review documentation. Up Secure brings 10+ years of Python/Django development experience to the review, ensuring findings reflect real-world exploitation patterns rather than generic scanner output, and that remediation guidance is practical within Django's architecture and conventions.
Who Can Benefit
- CTOs and technical leaders driving secure system architecture at scale
- Engineering teams embedding security and privacy into development lifecycle
- Product teams preparing for security, privacy, or maturity audits
- IT Managers and CISOs improving security posture and operational compliance
- Web and Software Developers building secure and compliant applications
Given personas represent the most likely beneficiaries of the service based on common roles and responsibilities. However, others outside this list may also find value depending on their involvement in privacy, security, or compliance-related initiatives.