Openbulletwordlist ⭐ Editor's Choice
If you are downloading or generating these files, ask yourself: Why am I doing this? If the answer is to secure your own assets or educate others about security gaps, proceed with caution, hygiene, and ethical guidelines. If the answer is to take over accounts for profit, understand that the legal consequences (wire fraud, computer fraud) are severe, with prison sentences ranging from 5 to 20 years.
In the shadowy yet fascinating world of penetration testing, security auditing, and unfortunately, cybercrime, one name stands out for automating credential stuffing attacks: OpenBullet . While the software itself is a powerful engine, it is useless without fuel. That fuel is the OpenBullet wordlist . openbulletwordlist
Most OpenBullet configurations expect a specific . The most common format for an openbulletwordlist is: If you are downloading or generating these files,
# Simple combolist generator usernames = ["admin", "user", "test"] passwords = ["123456", "password", "admin123"] with open("custom_openbulletwordlist.txt", "w") as f: for user in usernames: for pwd in passwords: f.write(f"user:pwd\n") Understanding the attack flow helps defense. When a malicious actor obtains an openbulletwordlist , they follow these steps: Step 1: The "Combolist" Acquisition Lists are traded on Telegram, Discord, and darknet forums. A single "fresh" combo list containing 10 million email:password pairs might sell for $50-$500 depending on the validity rate. Step 2: Configuration Matching Not every wordlist works with every target. The attacker must match the "Config" (OpenBullet script) to the wordlist format. If the config expects username|password but the wordlist uses email:password , the attack fails. Step 3: Proxying To avoid IP bans, they route traffic through SOCKS5 or HTTP proxies. The wordlist is split across 100+ proxies. Step 4: Validation OpenBullet sends the first 1,000 lines of the wordlist to the target. It looks for HTTP status codes 200 (success) vs 403 (blocked). It uses "Capture" data (e.g., finding "Welcome back, [Username]" in the response body) to mark a hit. The "Mega" Wordlists: Collection #1 to #5 When searching for "openbulletwordlist" , you will inevitably encounter "Collection #1." This was a massive data breach dataset (773 million unique email/password combinations) discovered on MEGA.nz in 2019. Subsequent collections (#2-#5) added billions more records. In the shadowy yet fascinating world of penetration
# Remove duplicates and sort sort -u raw_list.txt > sorted_list.txt grep -E -o "\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+.[A-Z|a-z]2,\b:[^\s]+" sorted_list.txt > cleaned_openbulletwordlist.txt Remove lines shorter than 8 characters (likely garbage) awk 'length($0) > 8' cleaned_list.txt > final_list.txt
If you are downloading or generating these files, ask yourself: Why am I doing this? If the answer is to secure your own assets or educate others about security gaps, proceed with caution, hygiene, and ethical guidelines. If the answer is to take over accounts for profit, understand that the legal consequences (wire fraud, computer fraud) are severe, with prison sentences ranging from 5 to 20 years.
In the shadowy yet fascinating world of penetration testing, security auditing, and unfortunately, cybercrime, one name stands out for automating credential stuffing attacks: OpenBullet . While the software itself is a powerful engine, it is useless without fuel. That fuel is the OpenBullet wordlist .
Most OpenBullet configurations expect a specific . The most common format for an openbulletwordlist is:
# Simple combolist generator usernames = ["admin", "user", "test"] passwords = ["123456", "password", "admin123"] with open("custom_openbulletwordlist.txt", "w") as f: for user in usernames: for pwd in passwords: f.write(f"user:pwd\n") Understanding the attack flow helps defense. When a malicious actor obtains an openbulletwordlist , they follow these steps: Step 1: The "Combolist" Acquisition Lists are traded on Telegram, Discord, and darknet forums. A single "fresh" combo list containing 10 million email:password pairs might sell for $50-$500 depending on the validity rate. Step 2: Configuration Matching Not every wordlist works with every target. The attacker must match the "Config" (OpenBullet script) to the wordlist format. If the config expects username|password but the wordlist uses email:password , the attack fails. Step 3: Proxying To avoid IP bans, they route traffic through SOCKS5 or HTTP proxies. The wordlist is split across 100+ proxies. Step 4: Validation OpenBullet sends the first 1,000 lines of the wordlist to the target. It looks for HTTP status codes 200 (success) vs 403 (blocked). It uses "Capture" data (e.g., finding "Welcome back, [Username]" in the response body) to mark a hit. The "Mega" Wordlists: Collection #1 to #5 When searching for "openbulletwordlist" , you will inevitably encounter "Collection #1." This was a massive data breach dataset (773 million unique email/password combinations) discovered on MEGA.nz in 2019. Subsequent collections (#2-#5) added billions more records.
# Remove duplicates and sort sort -u raw_list.txt > sorted_list.txt grep -E -o "\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+.[A-Z|a-z]2,\b:[^\s]+" sorted_list.txt > cleaned_openbulletwordlist.txt Remove lines shorter than 8 characters (likely garbage) awk 'length($0) > 8' cleaned_list.txt > final_list.txt