
I will teach you calculating for our requirements for full packet collection. You will learn tools and systems for collecting full pcap capture in a network. Also you find out why we implement network forensic for detection.
In this lesson We analyzed basic protocols connections like Mysql, HTTP, FTP, NFS. You will learn Wireshark basics and basic protocol analysis.
Students will analyze the DNS and SMTP packets for detecting phishing attacks. They will learn how to extract malicious files from network traffic.
In this lesson student learns to detect protocol-port mismatches.
In this lesson students learn how to detect malware or attack traffic from anormal user agents.
In this lesson students learn analysing Ransomware traffic and examining the trafic patterns.
In this lesson students learn Remote Code Execution exploit mechanism theoritaclly. After that they will learn how to detect a shellcode, return address and nop values for finding exploit code in the network traffic.
In this lesson students learn how to detect SSH tunnels in the Network traffic. First I explain the SSH tunnel mechanism as theoritaclly and I show you how to establish a SSH tunnel and you will analyze it.
In this lesson students learn how to detect ICMP tunnels in the Network traffic. First I explain the ICMP tunnel mechanism as theoritaclly and I show you how to establish a ICMP tunnel and you will analyze it.
In this lesson students learn how to detect DNS tunnels in the Network traffic. First I explain the DNS tunnel mechanism as theoritaclly and I show you how to establish a DNS tunnel and you will analyze it.
You will teach you performing timeline analysis and mapping the tunnels for solving the node to clearify to pivot pionts in network.
Sql injection basics are explained in a an example source code as therotically and you will learn how to analyze and detect SQL injection in network traffic.
Command injection basics are explained in a an example source code as therotically and you will learn how to analyze and detect Command injection in network traffic.
You will learn fundamental functions of webshells and their execution analysis. In this lesson you will learn how to detect web shells in network traffic.
File Upload basics are explained in a an example source code as therotically and you will learn how to analyze and detect File upload attacks in network traffic.
RFI/LFI basics are explained in a an example source code as therotically and you will learn how to analyze and detect RFI/LFI attacks in network traffic.
You will learn to basic XSS detection by investigating network traffic.
Explore memory forensic techniques to analyze volatile data from ram, link processes and sockets, detect fileless malware, and investigate memory images with tools like Volatility and Redline.
Analyze a Zeus botnet memory dump with volatility, identify OS version, processes, hidden items, and network connections, and evaluate IPs on VirusTotal and sandbox reports for malware indicators.
Hone threat hunting with elk stack (Elasticsearch, Logstash, Kibana) to collect, visualize, and analyze logs; identify suspicious PowerShell, encoded scripts, and malware activity through network and process data.
Practice threat hunting with ELK by filtering command and control IPs, analyzing events and network traffic to detect DNS/icmp/ssh tunneling, PowerShell use, and malicious files.
Explore threat hunting with elk to detect persistence methods, filter services, registries, and scheduled tasks, and analyze a backdoor service and encoded PowerShell.
Analyze logon and account activities in ELK using 4624 and 4625 events to reveal successful and failed logins, including username and computer name, explicit credentials, and account creation.
Investigate incident response with Google Rapid Response, analyzing endpoints via agents, netstat, and process listings, and correlate artifacts with YARA rules, OSQuery, and ELK to detect malicious activity.
Learn to perform threat hunting with VirusTotal Intelligence, using search modifiers like size, type, positives, and tag. Build indicators of compromise and link malware using imphash and ssdp hash.
Demonstrate creating indicators of compromise with the Mandiant IOC editor, capturing email artifacts (sender, subject, attachments) and network indicators (IP, DNS, port 443) plus simple Yara rules.
Detect web shells and pivot points on web servers using baseline hash analysis, time-based file scrutiny, and targeted shell-detection tools demonstrated with practical scripts.
In this lesson you are gonna learn Cyber Kill Chain Method by watching a real life attack scenerio in a lab network. Various techniques are used like port scanning, client side attacks with malicious documents, RCE exploits, lateral movment, tunnelling techniques like ICMP, DNS, L2 VPN pivoting, socks5, web attacks, password attacks. I learn you step by step Cyber Kill Chaing during you are watching the attack cycle.
In this lesson we have created a scenerio based hacking techniques and we critisized the security devices. We created a table for talking about security devices detection and prevention capabilities for explaining our SIEM and Network Monitoring needs.
In this course students will learn counducting threat hunting and compromise assessment. In the first module I created a real life attack scenerio as an adversary simulation in a demo lab. I lecture to my students about cyber threat intelligence sources and types, basic definition and terms like IOC, TTP, Cyber Kill Chain Model, Incident Response Steps. I critisize security devices capabilities for explaining why we need monitoring and SIEM infrastructure. In the second module I give you therotical knowledge about real attack techniques like SQL Injection, Buffer OverFlow Exploit Codes, SSH tunneling methods and more... I teach to my students how to collect full pcap traffic and which tools should be used for analysing. In module two I analysis tunnels, pivot points, web attacks, Remote Code Execution Exploits, Web Shells and Web attacks traffic from pcap files and I share my real world analysis experince with my students. In third module, First I present the fundamental windows processes and process injections, hollowing techniques and tools, pe injection and thread injection techniques and tools as theoritically. Then I teach you dumping memory samples for memory forensic and I analyze Stuxnet attack's memory image, Cridex, Zeus, Darkcomet Rat's Memory images and DLL injection event's memory image. In fourth module I perform therat hunting over ELK. First I explain the event id numbers which are used common for hunting and I analyze a real life scenerio. I detected malicious word documents, hta files, unsigned exe files, vbs files and more. I teach you how to detect and investigate tunneling methods, persistency methods like registeries, services, schedule tasks. Some techniques are used like lolbas in attack lab and we investigate and map them by using MITRE framework. Google Rapid Response And Osquery usage and labs are performed by me.
Important Note: My Udemy Training only includes the videos. Memory images, pcaps and virtual machines aren't shared in Udemy. I am creating lab environment in a different platform in Cloud and when I complete the Lab network in cloud I will announce and You can purchase separately from this.