🛠️ Master KeePass 4.x database cracking with specialized modern security tools
🔍 Learn direct brute force attacks when traditional hash extraction fails
💀 Over 70% of password managers still use weak master passwords vulnerable to attacks
🎯 Develop cutting-edge credential security assessment skills for modern systems
KeePass 4.x databases (KDBX 4.x format) use strong encryption (AES-256 or ChaCha20) with key derivation functions like Argon2. Important: Traditional tools like keepass2john do not support KDBX 4.x format yet, so hash extraction methods used for older KeePass versions will not work. Direct brute force against the database file is required.
challenge_vault.kdbx
file from the challenge page# Install KeePassXC CLI
sudo apt-get install keepassxc
# Or install Python KeePass library
pip3 install pykeepass
# File verification
file challenge_vault.kdbx
# Clone keepass4brute tool
git clone https://github.com/r3nt0n/keepass4brute.git
cd keepass4brute
# Make executable
chmod +x keepass4brute.sh
# Install SecLists (comprehensive security wordlists)
git clone --depth 1 https://github.com/danielmiessler/SecLists.git
# Use most effective small wordlists for KeePass cracking:
# Top 207 most probable passwords (very fast)
cp SecLists/Passwords/Common-Credentials/probable-v2-top207.txt .
# Top 100 passwords from dark web breaches (fast)
cp SecLists/Passwords/darkweb2017-top100.txt .
# Top 200 most used passwords from 2023 (fast)
cp SecLists/Passwords/2023-200_most_used_passwords.txt .
# Create simple test wordlist
echo -e "password\nadmin\nqwertyuiop\n123456\npassword123" > quick_test.txt
# Start with quick test (5 passwords)
./keepass4brute.sh ../challenge_vault.kdbx quick_test.txt
# Try top 207 most probable passwords (fast)
./keepass4brute.sh ../challenge_vault.kdbx probable-v2-top207.txt
# Try dark web top 100 (if not found)
./keepass4brute.sh ../challenge_vault.kdbx darkweb2017-top100.txt
# Try 2023 top 200 passwords (if still not found)
./keepass4brute.sh ../challenge_vault.kdbx 2023-200_most_used_passwords.txt
qwertyuiop
#!/usr/bin/env python3
from pykeepass import PyKeePass
def crack_keepass(db_path, wordlist_path):
with open(wordlist_path, 'r') as f:
for password in f:
password = password.strip()
try:
kp = PyKeePass(db_path, password=password)
print(f"Password found: {password}")
return password
except:
continue
return None
# Test common passwords
common_passwords = ['password', 'admin', 'qwertyuiop', '123456']
for pwd in common_passwords:
try:
kp = PyKeePass('challenge_vault.kdbx', password=pwd)
print(f"Password found: {pwd}")
break
except:
continue
python3 crack_keepass.py
# Test individual passwords by listing entries
keepassxc-cli ls challenge_vault.kdbx
# Enter password when prompted: qwertyuiop
# Or test specific password non-interactively
echo "qwertyuiop" | keepassxc-cli ls challenge_vault.kdbx
#!/bin/bash
wordlist=("password" "admin" "qwertyuiop" "123456")
for pwd in "${wordlist[@]}"; do
echo "Testing: $pwd"
if echo "$pwd" | keepassxc-cli ls challenge_vault.kdbx &>/dev/null; then
echo "Password found: $pwd"
break
fi
done
qwertyuiop
to open the database# List groups in database
echo "qwertyuiop" | keepassxc-cli ls challenge_vault.kdbx
# List entries in the Confidential Documents group
echo "qwertyuiop" | keepassxc-cli ls challenge_vault.kdbx "Confidential Documents/"
# Show specific entry with protected fields revealed
echo "qwertyuiop" | keepassxc-cli show challenge_vault.kdbx "Confidential Documents/Flag" --show-protected
#!/usr/bin/env python3
from pykeepass import PyKeePass
kp = PyKeePass('challenge_vault.kdbx', password='qwertyuiop')
# Find all entries
for entry in kp.entries:
print(f"Title: {entry.title}")
print(f"Username: {entry.username}")
print(f"Password: {entry.password}")
print("---")
This KeePass Breaker challenge demonstrates the evolving landscape of password manager security. While KeePass 4.x provides enhanced protection against traditional hash-based attacks, weak master passwords remain the critical vulnerability. The challenge emphasizes the need for strong password policies, modern assessment techniques, and understanding of current tool limitations when evaluating password manager security.
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