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MY JOURNEY WITH SPIDERVELLA
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How I Joined To SpidervellA
My self BR Lokesh I have a strong interest in cybersecurity and ethical hacking. After completing my Bachelor of Engineering (BE), I extensively researched various institutes online, many of which advertised placement guarantees. However, upon coming across an Instagram post by SpidervellA, I decided to visit their office for further information. Best Hacking and Cyber security Training Program.
After researching various cybersecurity training options, I visited to SpidervellA explore their offerings. Following an in-depth discussion with their team, I decided to enroll with Hackersvella , as their program aligned more closely with my career goals and interests.
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Why I choosed only HackersvellA
In the realm of Spidervella, numerous courses are available; however, I have specifically chosen Hackersvella due to its comprehensive offerings. This single course encompasses a broad range of topics, allowing for the development of skills across various fields. While individual courses typically charge several thousand rupees each, Hackersvella provides an extensive array of skills and technological knowledge at a reasonable fee. This approach ensures both cost-effectiveness and a well-rounded education.
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PHASES IN HACKERSVELLA
Hackersvella’s Training Program is structured into five distinct phases, each designed to build a comprehensive skill set in cybersecurity and ethical hacking
They are:
PHASE 1 - Hacking with Hardware & Networking
PHASE 2 - Hacking with Programming
PHASE 3 - Hacking with IOT
PHASE 4 -Hacking with AI & ML and Botnets
PHASE 5 - CyberForensics & Bug Hunting
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?PHASE 1 -Hacking with Hardware & Networking
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In this initial phase, participants gain a thorough understanding of hardware and networking essentials. The focus is on the core components of computer systems and their interconnections. Key topics include:
CCNA
The Cisco Certified Network Associate (CCNA) is a widely recognized certification from Cisco Systems, focusing on fundamental networking concepts. It is designed for individuals who want to start a career in networking or for those who need a solid foundation in network fundamentals.
Key Aspects of the CCNA Certification:
1.?? Core Topics:
o? Network Fundamentals: Basics of networking concepts, including OSI model, TCP/IP stack, and network topologies.
o? Network Access: Understanding of VLANs, WLANs, and the configuration of network access protocols.
o? IP Connectivity: Knowledge of IP addressing, routing protocols (like OSPF and EIGRP), and troubleshooting IP connectivity issues.
o? IP Services: Configuration and troubleshooting of network services such as DHCP, NAT, and QoS.
o? Security Fundamentals: Basic security concepts, including securing network devices and understanding common threats.
o? Automation and Programmability: Introduction to network automation, SDN (Software-Defined Networking), and scripting for network management.
2.?? Certification Tracks:
o? CCNA: The foundational certification covering the basics of networking.
o? CCNA Cyber Ops: Focuses on cybersecurity operations and monitoring.
o? CCNA Data Center: Specialized in data center technologies.
o? CCNA Security: Concentrates on network security fundamentals.
3.?? Exam Details:
o? Exam Code: The most recent CCNA exam is known as 200-301 CCNA.
o? Format: The exam typically consists of multiple-choice questions, simulations, and drag-and-drop questions.
o? Duration: The exam duration is usually around 120 minutes.
o? Prerequisites: There are no formal prerequisites for the CCNA, but having a basic understanding of networking concepts is helpful.
4.?? Preparation:
o? Cisco Official Study Materials: Cisco provides official study guides and online training courses.
o? Practice Exams: Taking practice exams can help in understanding the format and types of questions asked.
o? Hands-On Experience: Setting up your own home lab or using simulation tools like Cisco Packet Tracer can provide practical experience.
5.?? Benefits:
o? Career Opportunities: The CCNA is a valuable credential for network engineers, administrators, and IT professionals.
o? Foundational Knowledge: It provides a strong foundation for more advanced Cisco certifications (like CCNP and CCIE).
o? Industry Recognition: Cisco certifications are highly regarded in the IT industry and can help in career advancement.
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MCSA
The Microsoft Certified Solutions Associate (MCSA) certification was a widely recognized entry-level credential offered by Microsoft, designed to validate foundational skills in various Microsoft technologies and products. However, it's worth noting that Microsoft has phased out the MCSA certification as of January 2021. The certification track was replaced with more role-based certifications to better align with modern job roles and responsibilities.
Benefits of MCSA
Red Hat Linux
Red Hat Linux, particularly known through its enterprise product Red Hat Enterprise Linux (RHEL), is a leading distribution in the Linux ecosystem. It is designed to meet the needs of enterprises with a focus on stability, security, and support. Here's a detailed look at Red Hat Linux:
Amazon Web Services
Amazon Web Services (AWS) is a comprehensive and widely adopted cloud computing platform provided by Amazon. It offers a vast array of cloud services, ranging from computing power to storage and networking, that enable businesses to scale and innovate quickly.
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Prior to joining Hackersvella, my knowledge of computers was limited to basic activities such as gaming and using Wi-Fi. However, through the comprehensive training provided, I have significantly enhanced my technical skills. I am now capable of independently diagnosing and repairing issues with my laptop, eliminating the need to visit a service centre for routine repairs
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PHASE 2 - Hacking with Programming:
In the realm of ethical hacking and cybersecurity, proficiency in certain programming languages is essential for tasks such as writing scripts, developing exploits, and analyzing vulnerabilities. Here’s a list of key programming languages that are particularly useful in hacking:
1. Python
2. HTML&JAVASCRIPT
3. SQL
4. Ruby
1.??? Overview
o? Ruby: A high-level, interpreted programming language known for its simplicity and productivity. It emphasizes readability and ease of use, making it a favorite among developers for writing clean and maintainable code.
o? Ruby on Rails: A popular web application framework written in Ruby. It follows the convention over configuration (CoC) principle and the DRY (Don’t Repeat Yourself) philosophy, which makes web development faster and more efficient.
2.??? Key Features
o? Object-Oriented: Everything in Ruby is an object, including numbers and classes.
o? Dynamic Typing: Ruby does not require explicit type definitions.
o? Garbage Collection: Automatic memory management to help with resource efficiency.
o? Readable Syntax: Ruby’s syntax is designed to be intuitive and close to natural language.
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Mongo DB
MongoDB is a popular, open-source NoSQL database that is designed to handle large volumes of unstructured or semi-structured data. It uses a flexible, document-oriented data model, which can be particularly useful for applications with varying data formats or where data structures might evolve over time.
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Here are some key features of MongoDB:
1.??? Document-Oriented Storage: Data is stored in JSON-like documents (using BSON format), which allows for a more flexible schema. Each document can have a different structure, and you can embed documents within other documents.
2.??? Scalability: MongoDB supports horizontal scaling through sharding. This means that data can be distributed across multiple servers to handle large amounts of data and high throughput.
3.??? Indexing: It supports various types of indexes to optimize query performance, including single field, compound, geospatial, and text indexes.
4.??? Aggregation Framework: MongoDB provides a powerful aggregation framework to perform complex queries and transformations on your data.
5.??? High Availability: MongoDB offers replication through replica sets, which ensure high availability and data redundancy. In a replica set, one primary node handles writes, while secondary nodes replicate the data from the primary.
6.??? Flexible Schema: The schema-less nature of MongoDB means you don’t need to define the structure of your documents before inserting data. This flexibility is useful for evolving applications.
7.??? Query Language: MongoDB’s query language allows for expressive queries to fetch data, including support for complex queries, joins (via $lookup), and more.
8.??? Data Modelling: MongoDB allows you to model relationships between data using embedded documents or references, giving you flexibility based on your application’s needs.
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In this phase, I utilized Python to develop several hacking tools, enhancing my practical expertise in cybersecurity. Additionally, I designed and implemented my own website using HTML and JavaScript, applying my skills in web development and security.
Through this phase, I gained the ability to effectively analyses and understand any Python program, leveraging my experience in developing hacking tools and implementing web solutions.
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PHASE 3 - Hacking with IOT
The Internet of Things (IoT) refers to the network of interconnected devices that communicate and share data with each other over the internet. These devices, which range from everyday household items to complex industrial machinery, are embedded with sensors, software, and other technologies to collect and exchange data.
Key Concepts in IoT
1.??? Devices and Sensors: IoT devices are equipped with sensors to collect data from their environment, such as temperature, humidity, or motion. These devices can be anything from smart thermostats and wearable health trackers to industrial sensors.
2.??? Connectivity: IoT devices connect to the internet or other networks through various protocols like Wi-Fi, Bluetooth, Zigbee, or cellular networks. This connectivity allows devices to communicate with each other and with centralized servers.
3.??? Data Processing: Collected data is processed either on the device itself (edge computing) or sent to cloud-based platforms for analysis. This processing can involve simple calculations or complex machine learning algorithms.
4.??? Data Analytics: Analysing the data gathered from IoT devices provides insights that can be used to optimize performance, predict trends, or make informed decisions. This could involve monitoring system performance, detecting anomalies, or improving user experiences.
5.??? Automation and Control: Based on data analysis, IoT systems can automate actions or provide remote control capabilities. For instance, a smart home system might automatically adjust heating based on occupancy patterns.
6.??? Security: As IoT devices often handle sensitive data and are interconnected, security is a critical concern. Measures include encryption, secure authentication, and regular software updates to protect against vulnerabilities.
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In this phase, I expanded my technical skills and knowledge by engaging in several advanced projects. I developed a Wi-Fi jammer and implemented a smart lighting system that allows for remote control of bulbs via a mobile phone. These projects involved understanding and applying principles of wireless communication, electronics, and software integration, enhancing my expertise in both practical and theoretical aspects of technology.
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PHASE 4 -Hacking with AI & ML and Botnets
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Hacking
1.??? Definition and Types
o? ?White Hat: Authorized and legal hacking performed by security professionals to identify and fix vulnerabilities. Ethical hackers use their skills to improve security.
o? Black Hat Hacking: Malicious hacking with the intent to exploit vulnerabilities for personal gain or to cause harm. Black hats engage in activities like data theft, spreading malware, and disrupting services.
o? Gray Hat Hacking: Falls between ethical and black hat hacking. Gray hat hackers may explore vulnerabilities without permission but do not intend to cause harm. They often report the issues to organizations without exploiting them.
2.??? Techniques and Tools
o? Penetration Testing: Simulating attacks on systems to identify vulnerabilities.
o? Social Engineering: Manipulating individuals into divulging confidential information.
o? Exploits and Vulnerabilities: Using known weaknesses in software or hardware to gain unauthorized access.
o? Tools: Common tools used by hackers include Metasploit, Nmap, Wireshark, and Burp Suite.
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During this phase, I developed custom payloads and utilized various Remote Access Trojans (RATs) to enhance my expertise in cybersecurity. I focused on techniques for evading detection by implementing advanced methods for concealing payloads. This included embedding payloads within images, files, and links to effectively obscure their presence and minimize detection risks. My work involved continuous refinement of these concealment strategies to ensure robustness against security measures.
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Data Science
1.??? Overview
o? Data Science: A multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines aspects of statistics, computer science, and domain expertise.
2.??? Key Components
o? Data Collection: Gathering data from various sources, such as databases, web scraping, and sensors.
o? Data Cleaning: Preparing and cleaning data to ensure accuracy and consistency.
o? Exploratory Data Analysis (EDA): Using statistical and visualization techniques to understand data patterns and relationships.
o? Statistical Analysis: Applying statistical methods to interpret data and draw conclusions.
o? Data Visualization: Creating visual representations of data to help communicate insights effectively.
3.??? Tools and Technologies
o? Programming Languages: Python, R, and SQL are commonly used in data science.
o? Libraries and Frameworks: Pandas, NumPy, Matplotlib, and Seaborn (Python); ggplot2 and dplyr (R).
o? Data Analysis Platforms: Jupyter Notebooks, RStudio, and Google Colab.
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Artificial Intelligence (AI)
1.??? Overview
o? Artificial Intelligence: The simulation of human intelligence in machines that are designed to think and learn like humans. AI encompasses a range of technologies and approaches to enable machines to perform tasks that typically require human intelligence.
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2.??? Subfields
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o? Machine Learning (ML): A subset of AI that involves training algorithms to recognize patterns and make predictions based on data.
o? Natural Language Processing (NLP): Enables machines to understand and generate human language.
o? Computer Vision: Allows machines to interpret and make decisions based on visual input from the world.
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Machine Learning (ML)
1.??? Overview
o? Machine Learning: A method of data analysis that automates analytical model building. It uses algorithms to learn from and make predictions or decisions based on data.
2.??? Types of ML
o? Supervised Learning: Algorithms are trained on labelled data. Common tasks include classification and regression. Examples: predicting stock prices, classifying emails as spam or not.
o? Unsupervised Learning: Algorithms find patterns and relationships in unlabelled data. Common tasks include clustering and dimensionality reduction. Examples: customer segmentation, anomaly detection.
o? Reinforcement Learning: Algorithms learn by interacting with an environment and receiving rewards or penalties. Examples: game playing, robotic control.
3.??? Common Algorithms
o? Linear Regression: Predicting a continuous target variable based on one or more features.
o? Decision Trees: Making decisions based on feature values to classify or predict outcomes.
o? Neural Networks: Complex models inspired by the human brain, used for deep learning tasks like image and speech recognition.
o? Support Vector Machines (SVMs): Classifying data by finding the optimal hyperplane that separates classes.
4.??? Tools and Frameworks
o? Python Libraries: Scikit-learn,
o? ?TensorFlow,
o? ?Keras,
o? ?PyTorch.
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In this phase, I successfully developed a facial recognition project. This project involved implementing a robust system capable of identifying and verifying individuals based on facial features. Utilizing advanced computer vision and machine learning techniques, the solution was designed to enhance security and streamline user authentication processes. The project encompassed the integration of image processing algorithms and the training of a facial recognition model to achieve high accuracy and reliability in real-world scenarios.
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PHASE 5 -Cyberforensics & Bug Hunting
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Cyberforensics
Cyber forensics, also known as digital forensics, involves the process of collecting, analyzing, and preserving digital evidence from electronic devices in a way that maintains its integrity for legal purposes. It's a critical field in both criminal investigations and civil litigation, focusing on uncovering and understanding evidence related to cybercrimes, data breaches, and other digital activities.
Here’s a breakdown of the key aspects of cyber forensics:
1.?? Evidence Collection: This involves identifying and acquiring digital evidence from devices such as computers, smartphones, servers, and network systems. The process must be handled carefully to avoid altering or corrupting the data.
2.?? Data Preservation: Ensuring that the digital evidence is preserved in its original state is crucial. This often involves creating forensic images (exact copies) of the data and using write blockers to prevent any changes to the original evidence.
3.?? Analysis: Forensic analysts use specialized tools and techniques to examine the data. This might include recovering deleted files, analyzing file metadata, tracking digital footprints, and identifying patterns or anomalies.
4.?? Reporting: After analysis, a detailed report is prepared, summarizing the findings and explaining their relevance to the case. This report is often used in legal proceedings and must be clear and understandable to individuals without technical expertise.
5.?? Expert Testimony: Forensic experts may be called to testify in court to explain their findings and the methods used during the investigation. This requires the expert to be able to communicate complex technical details effectively to judges and juries.
6.?? Legal and Ethical Considerations: Cyber forensics professionals must adhere to legal standards and ethical guidelines to ensure that their work is admissible in court and that privacy and legal rights are respected.
7.?? Tools and Techniques: There are numerous specialized tools available for digital forensics, including EnCase, FTK, and X1. Techniques may involve both traditional computer forensics methods and advanced approaches such as cloud forensics and mobile device forensics.
8.?? Emerging Trends: As technology evolves, so do the methods and challenges in cyber forensics. Trends such as the rise of encrypted communication, cloud storage, and Internet of Things (IoT) devices continuously shape the field.
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During this phase, I gained insight into law enforcement methodologies for solving cybersecurity cases and applied these techniques through practical exercises. This included studying investigative approaches used by professionals in the field and participating in live case simulations to develop and refine our problem-solving skills. By working on real-world scenarios, we enhanced our understanding of case resolution strategies and forensic analysis, effectively bridging theoretical knowledge with practical application in cybersecurity investigations.
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Bug hunting
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Bug hunting, also known as bug bounty hunting, is a practice where individuals, often referred to as bug hunters, search for vulnerabilities or bugs in software applications, systems, or websites to improve their security and functionality. This process is often part of a formal bug bounty program offered by companies to incentivize security researchers to discover and report issues before malicious actors can exploit them. Here's a detailed overview of bug hunting:
Overview of Bug Hunting
1.?? Definition and Purpose
o? Bug Hunting: The process of identifying, reporting, and sometimes fixing vulnerabilities or bugs in software systems. The goal is to improve the security and quality of software by discovering issues that were not found during the development and testing phases.
o? Bug Bounty Programs: Structured initiatives where organizations offer monetary rewards or other incentives to researchers who identify and report security vulnerabilities in their software.
2.?? Key Components
o? Vulnerability Discovery: Finding security weaknesses or bugs that could be exploited. This includes issues such as SQL injection, cross-site scripting (XSS), and buffer overflows.
o? Reporting: Documenting and communicating the discovered vulnerabilities to the organization or platform running the bug bounty program. Reports typically include a description of the issue, steps to reproduce it, and recommendations for remediation.
o? Validation: Ensuring that the reported vulnerabilities are genuine and reproducible. This involves verifying the issue and assessing its impact.
o? Remediation: The process of fixing the vulnerabilities reported by bug hunters, followed by a review and deployment of patches or updates.
3.?? Techniques and Tools
o? Reconnaissance: Gathering information about the target system or application, such as its architecture, technologies used, and potential entry points. Tools like Burp Suite, Nmap, and Recon-ng are commonly used.
o? Exploit Development: Creating and testing exploits to determine if a vulnerability can be leveraged. This involves using tools like Metasploit and OWASP ZAP.
o? Static and Dynamic Analysis: Analyzing source code (static) and running applications (dynamic) to identify vulnerabilities. Tools such as SonarQube for static analysis and Fiddler for dynamic analysis are used.
o? Automated Scanners: Using automated tools to scan for common vulnerabilities. Examples include Nessus for network vulnerabilities and OWASP Dependency-Check for library issues.
4.?? Popular Bug Bounty Platforms
o? HackerOne: A platform that connects organizations with security researchers to find and fix vulnerabilities.
o? Bugcrowd: Provides a crowd of security researchers who participate in bug bounty programs and vulnerability disclosures.
o? Synack: Offers a managed bug bounty platform with a vetted community of researchers.
o? Cobalt: Focuses on pen testing and bug bounty services with a collaborative approach.
5.?? Benefits
o? Enhanced Security: Identifying and fixing vulnerabilities helps to prevent potential security breaches and data loss.
o? Cost-Effective: Bug bounty programs provide a cost-effective way to identify and address vulnerabilities compared to traditional security testing methods.
o? Community Engagement: Encourages collaboration between organizations and the security research community, fostering innovation and improved security practices.
o? Continuous Improvement: Ongoing bug hunting efforts help organizations continuously improve their security posture.
6.?? Challenges
o? Complexity: Identifying and exploiting vulnerabilities can be complex and require specialized knowledge and skills.
o? Legal and Ethical Considerations: Bug hunters must ensure they operate within legal and ethical boundaries, respecting the rules of engagement set by the bug bounty program and avoiding unauthorized access.
o? Scope Limitations: Bug bounty programs typically define the scope of the testing to avoid disruptions. Researchers must adhere to these boundaries to avoid unintended consequences.
7.?? Best Practices
o? Follow Program Rules: Adhere to the guidelines and scope defined by the bug bounty program to ensure ethical and legal compliance.
o? Provide Clear Reports: Submit detailed and clear vulnerability reports, including proof of concept and remediation recommendations.
o? Stay Updated: Keep up with the latest security trends, tools, and techniques to improve your bug hunting skills.
o? Engage with the Community: Participate in forums, attend conferences, and collaborate with other researchers to enhance your knowledge and network.
8.?? Certifications and Training
o? Certified Ethical Hacker (CEH): Provides a comprehensive understanding of ethical hacking and penetration testing.
o? Offensive Security Certified Professional (OSCP): Focuses on hands-on penetration testing skills.
o? Certified Bug Bounty Hunter: Various training programs are available that specialize in bug hunting and vulnerability assessment.
Conclusion
Bug hunting is a crucial aspect of modern cybersecurity, providing organizations with a proactive approach to identifying and mitigating vulnerabilities before they can be exploited. By participating in bug bounty programs, security researchers contribute to enhancing software security, protecting sensitive data, and improving overall system resilience.
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CTF’S
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In the realm of cybersecurity, I have actively participated in Capture The Flag (CTF) competitions, which are critical for honing practical skills in ethical hacking and security analysis. Through these challenges, I have gained hands-on experience in a wide array of cybersecurity disciplines, including:
CTF competitions have provided me with a dynamic and challenging environment to apply and expand my knowledge in cybersecurity, fostering both individual problem-solving skills and collaborative teamwork in high-pressure scenarios.
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During this phase, I actively engaged in numerous live Capture The Flag (CTF) competitions and bug bounty programs. These experiences allowed me to apply and refine my skills in real-world scenarios, tackling complex cybersecurity challenges and vulnerabilities. My participation in these events led to several accolades, including certificates recognizing my contributions and achievements in various CTFs. These certifications reflect my proficiency in identifying and exploiting security weaknesses, as well as my commitment to continuous learning and professional development in the field of cybersecurity.
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Malware Development and Analysis
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During this phase, I focused on the development and analysis of malware, which involved a comprehensive exploration of both offensive and defensive aspects of cybersecurity. My work in malware development included:
·????? Creating Malicious Code: Designing and implementing custom malware to understand its operational mechanics and potential impact on systems.
·????? Obfuscation Techniques: Employing advanced methods to conceal malware functionalities and evade detection by security measures.
·????? Payload Development: Crafting various types of payloads to study their behaviour and effectiveness in different environments.
In addition to development, I engaged in thorough malware analysis, which encompassed:
·????? Reverse Engineering: Deconstructing malware samples to uncover their underlying code and identify vulnerabilities or exploitable elements.
·????? Behavioural Analysis: Observing and documenting the behaviour of malware in controlled environments to understand its propagation methods and effects on target systems.
·????? Threat Intelligence: Analyzing malware to gather insights into emerging threats and trends, contributing to enhanced security measures and responses.
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This phase provided me with valuable hands-on experience in both creating and analyzing malware, deepening my understanding of cybersecurity threats and enhancing my ability to develop effective defensive strategies.
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