Post-exploitation and pivoting in Cybersecurity - Mini Project: Build & Apply

Understanding Post-exploitation and Pivoting

📖 Scenario: You are a cybersecurity analyst learning how attackers move inside a network after gaining initial access. Understanding post-exploitation and pivoting helps you protect networks better.

🎯 Goal: Build a simple step-by-step explanation of post-exploitation and pivoting concepts using a dictionary to represent compromised machines and their connections.

📋 What You'll Learn

Create a dictionary named compromised_machines with exact machine names and their IP addresses

Add a variable pivot_machine to represent the machine used for pivoting

Use a loop with for machine, ip in compromised_machines.items() to list machines reachable from the pivot

Add a final step to include a new machine accessed through pivoting in the dictionary

💡 Why This Matters

🌍 Real World

Cybersecurity professionals use post-exploitation and pivoting knowledge to understand attacker movements inside networks and improve defenses.

💼 Career

This knowledge is essential for penetration testers, red teamers, and security analysts to simulate attacks and protect organizational networks.

1

DATA SETUP: Create the compromised machines dictionary

Create a dictionary called compromised_machines with these exact entries: 'Workstation1': '192.168.1.10', 'Server1': '192.168.1.20', 'Laptop1': '192.168.1.30'.

Cybersecurity

# Create the compromised_machines dictionary with given machines and IPs
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with keys as machine names and values as IP addresses.

2

CONFIGURATION: Define the pivot machine

Add a variable called pivot_machine and set it to the string 'Server1' to represent the machine used for pivoting.

Cybersecurity

compromised_machines = {
    'Workstation1': '192.168.1.10',
    'Server1': '192.168.1.20',
    'Laptop1': '192.168.1.30'
}
# Define the pivot_machine variable
# Your code here

Need a hint?

Assign the string 'Server1' to the variable pivot_machine.

3

CORE LOGIC: List machines reachable from the pivot

Use a for loop with variables machine and ip in compromised_machines.items() to iterate over the dictionary and create a list called reachable_from_pivot containing machine names except the pivot machine.

Cybersecurity

compromised_machines = {
    'Workstation1': '192.168.1.10',
    'Server1': '192.168.1.20',
    'Laptop1': '192.168.1.30'
}
pivot_machine = 'Server1'

# Create reachable_from_pivot list excluding the pivot_machine
# Your code here

Need a hint?

Use a loop to check each machine and add it to the list only if it is not the pivot machine.

4

COMPLETION: Add a new machine accessed through pivoting

Add a new entry to the compromised_machines dictionary with key 'DatabaseServer' and value '10.0.0.5' to represent a machine accessed by pivoting through pivot_machine.

Cybersecurity

compromised_machines = {
    'Workstation1': '192.168.1.10',
    'Server1': '192.168.1.20',
    'Laptop1': '192.168.1.30'
}
pivot_machine = 'Server1'

reachable_from_pivot = []
for machine, ip in compromised_machines.items():
    if machine != pivot_machine:
        reachable_from_pivot.append(machine)

# Add the new machine accessed through pivoting
# Your code here

Need a hint?

Use dictionary assignment syntax to add the new machine and its IP.