Dictionary Attacks
Overview of Dictionary Attacks:
Dictionary attacks are a more efficient alternative to brute-force attacks, especially against common or weak passwords.
They exploit the tendency of users to choose memorable passwords, often based on dictionary words, phrases, or predictable patterns.
Key Concepts:
Wordlist Quality: The effectiveness of a dictionary attack depends on the quality and specificity of the wordlist. Tailoring the wordlist to the target (e.g., using gaming terms for a gaming community) increases success rates.
Human Psychology: Dictionary attacks leverage common password practices, making them faster and more efficient than brute-force methods.
Comparison: Brute Force vs. Dictionary Attack:
Efficiency
Faster and more resource-efficient.
Time-consuming and resource-intensive.
Dictionary attacks narrow the search space significantly.
Targeting
Highly adaptable to specific targets.
No inherent targeting capability.
Wordlists can be customized based on target information.
Effectiveness
Effective against weak or commonly used passwords.
Effective against all passwords given enough time.
If the password is in the dictionary, it will be found quickly.
Limitations
Ineffective against complex, randomly generated passwords.
Often impractical for lengthy or complex passwords.
Truly random passwords are unlikely to be in any dictionary.
Example Scenario:
An attacker targeting a company's employee login might create a wordlist with:
Common weak passwords (e.g., "password123")
Variations of the company name
Employee names or department names
Industry-specific jargon
Building and Utilizing Wordlists:
Sources for Wordlists:
Publicly Available Lists: Free lists from the internet, including leaked credentials (e.g., SecLists).
Custom-Built Lists: Created based on reconnaissance data about the target.
Specialized Lists: Focused on specific industries or applications.
Pre-existing Lists: Tools like ParrotSec come with built-in wordlists (e.g., rockyou.txt).
Useful Wordlists for Login Brute-Forcing:
rockyou.txt
Contains millions of leaked passwords.
Commonly used for password brute force.
top-usernames-shortlist.txt
List of the most common usernames.
Quick brute force username attempts.
xato-net-10-million-usernames.txt
Extensive list of 10 million usernames.
Thorough username brute forcing.
2023-200_most_used_passwords.txt
List of the 200 most commonly used passwords as of 2023.
Targeting commonly reused passwords.
Default-Credentials/default-passwords.txt
List of default usernames and passwords for devices.
Ideal for trying default credentials.
Practical Example: Dictionary Attack Script
The following Python script demonstrates how to perform a dictionary attack against a target system:
import requests
ip = "SERVER_IP" # Change to your instance IP
port = SERVER_PORT # Change to your instance port
# Download a list of common passwords
passwords = requests.get("https://raw.githubusercontent.com/danielmiessler/SecLists/refs/heads/master/Passwords/Common-Credentials/500-worst-passwords.txt").text.splitlines()
# Attempt each password
for password in passwords:
print(f"Attempted password: {password}")
response = requests.post(f"http://{ip}:{port}/dictionary", data={'password': password})
if response.ok and 'flag' in response.json():
print(f"Correct password found: {password}")
print(f"Flag: {response.json()['flag']}")
break
Script Functionality:
Downloads a Wordlist: Fetches a list of weak passwords.
Iterates Through Passwords: Sends each password to the target system.
Analyzes Responses: Checks for success and captures the flag if the password is correct.
Continues Until Success: Proceeds through the list until the correct password is found or the list is exhausted.
Conclusion:
Understanding the differences between dictionary and brute-force attacks is crucial for effective cybersecurity practices. Tailoring attacks based on human behavior and password choices can significantly enhance the likelihood of success.
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