Service Overview

The Dognet Technologies Code Review service is an in-depth technical analysis of the application source code aimed at systematic identification of security vulnerabilities, architectural defects and insecure development practices before applications are released in production or exposed to real users. Unlike automated controls—essential but structurally limited—our review combines static and dynamic tools with critical analysis conducted by certified specialists, able to understand the application context, business logic and data flows that determine the real risk of any identified vulnerability.

The goal is not to produce a warning list from linter, but to return to the development team a precise map of exposures at risk, with real severity, proof-of-concept where applicable and concrete remediation guidance that is not limited to "use an updated library" but indicate how and why perform any correction in the specific context of the codebase analyzed.

Framework and Reference Standards

The review process adopts the OWASP Code Review Guide as a primary reference, integrating the OWASP Top 10 and OWASP Top 10 Proactive Controls classifications to ensure that each relevant vulnerability category is systematically verified. We use the Common Weakness Enumeration (CWE) for the standardized classification of identified weaknesses, facilitating communication with development teams and technical stakeholders. For applications that manage sensitive data or operate in regulated contexts, we double findings towards NIST SP 800-53 security requirements and, where applicable, PCI-DSS, NIS2 and GDPR.

Coverage and Types of Vulnerability

The review covers the entire spectrum of application security vulnerabilities detectable at source code level:

• Injection flaws: SQL Injection, Command Injection, LDAP Injection, XPath Injection, server side injection template—with analysis of input flows from the entry point to the queries or commands executed, identifying each point where sanitization is absent, insufficient or bypassable.
• Authentication and Session Management: authentication implementations with cryptographic weaknesses, mismanagement of tokens, session fixation, insufficient expiry session, password storage with inadequate algorithms (MD5, SHA1 not jumped, bcrypt with cost factor insufficient).
• Authorization and Access Control: IDOR (Insecure Direct Object Reference), privilege escalation for wrong authorization logic, lack of server-side controls on privileged operations, mass assignment in REST APIs.
• Cryptographic Failures: use of deprecated algorithms (DES, 3DES, RC4, MD5 for integrity), insufficient key lengths, IV static or predictable, padding oracle vulnerabilities, unsafe management of cryptographic material.
• Sensitive Data Exposure: sensitive data logging (password, PAN, token), hard-coded credentials, API key and secrets committed in code, transmit sensitive data without encryption.
• Security Misconfigurations: dependencies with CVE notes, unsafe framework configurations by default, CORS misconfiguration, absent or wrong security header, verbose error handling that exposes trace stacks and architectural information.
• Business Logic Flaws: specific application logic vulnerabilities that automatic scanners cannot identify—race conditions, bypass workflow, handling prices and quantities, elusion of antifraud controls.

Languages and Supported Stack

Our team covers a wide range of technologies: Java (Spring Boot, Jakarta EE), Python (Django, Flask, FastAPI), PHP (Laravel, Symfony, WordPress custom), JavaScript/TypeScript (Node.js, Express, NestJS, React, Angular), Go, C/C++ for embedded components and high-performance applications, C# (.NET Core, ASP.NET), Ruby on Rails. For mobile applications, we analyze Swift, Kotlin and Java code for iOS and Android, including communications security to backend API.

Execution process

The review is divided into sequential and parallel phases optimized to maximise the depth of analysis in limited time. The setup phase involves the secure acquisition of the codebase (repository Git, read-only access, isolated file system), application architecture mapping, identification of trust boundary and sensitive data flows, and configuration of static analysis tools (SAST) calibrated on the specific framework.

Automated analysis with SAST tools (SonarQube, Semgrep with ruleset custom, Bandit for Python, SpotBugs for Java, ESLint security plugin, phpcs-security-audit) produces a first inventory of raw findings that are then subjected to manual triage to eliminate false positives—that in SAST instruments can reach 60-80%—and to assign real severity based on the application context.

Manual review focuses on high-risk areas identified during the triage: authentication flows, authorization logic, session management, cryptographic operations, database interactions and external systems, and components that manage untrusted inputs. Each critical finding is accompanied by a proof-of-concept that demonstrates real exploitability.

Deliverable

The final report includes: executive summary with overall risk rating and top findings for non-technical management; findings detail with technical description, CWE reference, severity CVSS 3.1, exploitability tests and specific remediation with correct code examples; codebase heatmap that highlights areas at greater risk concentration; and remediation plan prioritized with estimation of correction efficiency. On request, we offer technical walkthrough sessions with the development team to transfer the skills needed to prevent the same vulnerability categories in future releases.

Because it is important

70% of data breaches originate from application vulnerabilities. Identifying and correcting these weaknesses in development costs on average 6 times less than post-production correction and hundreds of times less than the management of a breach. The Code Review is not a formal control: it is the last line of defense before the code becomes a real attack surface.