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Secure Coding using C and C++

Secure Coding using C and C++


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Secure Coding using C and C++

Secure Coding Using C and C++

1. Course Overview

The Secure Coding Using C and C++ course equips software developers and IT professionals with the knowledge and practical skills needed to write robust, secure, and maintainable code.

C and C++ are widely used in system-level programming, embedded systems, and high-performance applications, making security-critical coding practices essential to prevent vulnerabilities like buffer overflows, memory leaks, and improper input validation.

By completing this course, learners will be able to design and implement secure software, identify and mitigate common security risks, and adopt coding standards aligned with industry best practices.

2. Target Audience

Software developers working in C/C++

Embedded systems engineers

Security analysts and application testers

IT professionals seeking secure software development skills

Students preparing for secure coding or application security certifications

3. Learning Outcomes

By the end of the program, learners will be able to:

Understand secure coding principles in C and C++

Prevent and mitigate common software vulnerabilities (buffer overflows, memory leaks, race conditions, etc.)

Implement secure memory management

Use safe APIs and coding practices

Conduct static and dynamic code analysis

Apply threat modeling to C/C++ applications

Follow industry coding standards such as SEI CERT C and C++ guidelines

4. Course Duration & Format

Duration: 6–8 weeks

Hours: 40–60 hours

Format: Lectures, practical labs, code reviews, projects

Assessment: Module quizzes, lab assignments, final secure coding project

5. Course Modules & Syllabus

Module 1: Introduction to Secure Coding

Topics:

Importance of secure coding

Common software vulnerabilities in C/C++

Secure coding standards (CERT C, CERT C++)

Threat modeling basics

Labs:

Analyze sample vulnerable code

Module 2: Memory Management and Buffer Security

Topics:

Stack vs heap allocation

Buffer overflows and underflows

Integer overflows

Safe memory allocation and deallocation

Use of modern memory-safe functions

Labs:

Identify buffer overflow in sample programs

Implement secure alternatives (e.g., strncpy, snprintf)

Module 3: Input Validation and Data Sanitization

Topics:

Validating user input

Preventing injection attacks (command, format string, SQL)

Using safe parsing techniques

Labs:

Implement input validation in console and file-based programs

Module 4: Secure File and Resource Management

Topics:

Secure handling of files and I/O

File permission management

Preventing race conditions and TOCTOU vulnerabilities

Safe use of pointers and references

Labs:

Implement file read/write with proper error checking and permissions

Module 5: Error Handling and Exception Safety

Topics:

Proper use of exceptions in C++

Avoiding information leakage via error messages

Defensive programming techniques

Logging best practices

Labs:

Convert unsafe error handling code to exception-safe code

Module 6: Secure C++ Programming

Topics:

RAII (Resource Acquisition Is Initialization) for resource management

Smart pointers (unique_ptr, shared_ptr)

Avoiding unsafe casts and type errors

Safe use of STL containers

Labs:

Replace raw pointers with smart pointers in sample programs

Implement container-based secure solutions

Module 7: Concurrency and Multithreading Security

Topics:

Thread safety

Race conditions and deadlocks

Using mutexes and locks properly

Secure concurrent data structures

Labs:

Identify and fix race conditions in multithreaded programs

Module 8: Cryptography and Secure Communication

Topics:

Secure storage of sensitive data

Using cryptographic APIs safely

Avoiding common cryptography mistakes in C/C++

TLS/SSL basics

Labs:

Implement simple encryption/decryption using C/C++ libraries

Securely store and retrieve passwords

Module 9: Static and Dynamic Code Analysis

Topics:

Introduction to static analysis tools (Cppcheck, Clang Analyzer, SonarQube)

Dynamic analysis and fuzz testing

Identifying memory leaks and vulnerabilities

Labs:

Run static analysis on sample programs

Perform dynamic tests to find potential vulnerabilities

Module 10: Secure Software Development Lifecycle

Topics:

Integration of secure coding into SDLC

Code review processes and peer auditing

Continuous security testing

Compliance with industry standards

Labs:

Conduct a secure code review for a small C/C++ project

6. Assessments

Module Quizzes: End-of-module knowledge checks

Lab Assignments: Hands-on secure coding exercises

Mid-Term Assessment: Code analysis and vulnerability mitigation exercises

Final Project: Develop a secure C/C++ application implementing all secure coding principles

7. Certification Requirements

Learners must:

Complete all modules and labs

Score at least 60% in quizzes and assessments

Submit and defend the final secure coding project

8. Career Pathways

Graduates can pursue roles such as:

Secure C/C++ Developer

Application Security Engineer

Embedded Systems Security Engineer

Software Quality Assurance Specialist

IT Security Analyst

DevSecOps Engineer