Vulnerability remediation prioritization in Cybersecurity - Mini Project: Build & Apply

Vulnerability Remediation Prioritization

📖 Scenario: You are part of a cybersecurity team responsible for managing vulnerabilities found in your company's software systems. You have a list of vulnerabilities with their severity scores and need to prioritize which ones to fix first to reduce risk effectively.

🎯 Goal: Build a simple prioritization list that helps identify which vulnerabilities should be fixed first based on their severity scores.

📋 What You'll Learn

Create a dictionary with vulnerability names as keys and their severity scores as values

Add a severity threshold to decide which vulnerabilities need urgent attention

Use a loop to select vulnerabilities with severity scores above the threshold

Create a final prioritized list of vulnerabilities that require immediate remediation

💡 Why This Matters

🌍 Real World

Security teams use vulnerability prioritization to focus their efforts on fixing the most dangerous issues first, reducing the risk of attacks.

💼 Career

Understanding how to organize and prioritize vulnerabilities is essential for roles like security analyst, cybersecurity engineer, and IT risk manager.

1

Create the vulnerability data dictionary

Create a dictionary called vulnerabilities with these exact entries: 'SQL Injection': 9.8, 'Cross-Site Scripting': 6.5, 'Buffer Overflow': 7.2, 'Insecure Deserialization': 8.1, 'Information Disclosure': 4.3

Cybersecurity

# Create the vulnerabilities dictionary with given entries
# Your code here

Need a hint?

Use curly braces to create a dictionary and separate each entry with a comma.

2

Set the severity threshold

Create a variable called severity_threshold and set it to 7.0 to define the minimum severity score for urgent vulnerabilities.

Cybersecurity

vulnerabilities = {
    'SQL Injection': 9.8,
    'Cross-Site Scripting': 6.5,
    'Buffer Overflow': 7.2,
    'Insecure Deserialization': 8.1,
    'Information Disclosure': 4.3
}
# Set the severity threshold to 7.0
# Your code here

Need a hint?

Assign the number 7.0 to the variable named severity_threshold.

3

Select vulnerabilities above the threshold

Create an empty list called urgent_vulnerabilities. Use a for loop with variables vuln and score to iterate over vulnerabilities.items(). Inside the loop, add vuln to urgent_vulnerabilities if score is greater than severity_threshold.

Cybersecurity

vulnerabilities = {
    'SQL Injection': 9.8,
    'Cross-Site Scripting': 6.5,
    'Buffer Overflow': 7.2,
    'Insecure Deserialization': 8.1,
    'Information Disclosure': 4.3
}
severity_threshold = 7.0
# Create an empty list for urgent vulnerabilities
# Use a for loop to add vulnerabilities with score > severity_threshold
# Your code here

Need a hint?

Use vulnerabilities.items() to get both vulnerability names and scores in the loop.

4

Finalize the prioritized list

Sort the urgent_vulnerabilities list in descending order by their severity scores using the sort() method with a key argument. Use a lambda function that takes a vulnerability name and returns its score from vulnerabilities. Set reverse=True to sort from highest to lowest severity.

Cybersecurity

vulnerabilities = {
    'SQL Injection': 9.8,
    'Cross-Site Scripting': 6.5,
    'Buffer Overflow': 7.2,
    'Insecure Deserialization': 8.1,
    'Information Disclosure': 4.3
}
severity_threshold = 7.0
urgent_vulnerabilities = []
for vuln, score in vulnerabilities.items():
    if score > severity_threshold:
        urgent_vulnerabilities.append(vuln)
# Sort urgent_vulnerabilities by severity score descending
# Your code here

Need a hint?

Use the sort() method with a lambda function to sort by severity score.