10 Million Password List Top 10000.txt Download
Shanae Maerz
If your password is on this list of the 10,000 most common passwords, you need a new password. A hacker can use or generate files like this, which may be readily compiled from breaches of sites such as Ashley Madison. Usually, passwords are not tried one-by-one against a system's secure server online; instead, a hacker might manage to gain access to a shadowed password file protected by a one-way encryption algorithm. They would then test each entry in a file like this to see whether its encrypted form matches what the server has on record. The passwords may then be tried against any online account that can be linked to the first, to test for passwords reused on other sites.
This particular list originates from the OWASP SecLists Project ([1]) and is copied from its content on GitHub ([2]) for convenient linking from Wikipedia. The OWASP project publishes its SecList software content under CC-by-SA 3.0; this page takes no position on whether the list data is subject to database copyright or in the public domain. It represents the top 10,000 passwords from a list of 10 million compiled by Mark Burnett; for other specific attributions, see the readme file. The passwords were listed in numerical order, but the blocks of entries and positions of some simpler entries (e.g., "experienced" at 9975 and "doom" at 9983) hint that this may not be a sorted list.
To use this list, you can search within your browser (control-F or command-F) to see whether your password comes up, without transmitting your information over the Internet. It may also be useful to browse the file to see how secure a completely insecure-looking password can appear.
Lists of the top 100,000 and 1,000,000 passwords are also available from the OWASP project. They are not duplicated here due to space constraints and because Wikipedia:Password strength requirements currently cite the number 10,000, but checking them would not be a bad idea.
Not really sure where i am going wrong as i have tried every wordlist in the SecLists repo (including rockyou) and i just cant seem to get a hit. I have read through other forum posts about ensuring the fail string is correct and i dont think thats the issue here.
Im also assuming the password for admin changes on each reset of the target machine so i cant just continue a password attack where it left off? Just cant seem to get a hit on the password within 90 minutes. That only allows for around 75k tries at 850 tries per minute (also not sure if there is anything i can do get around IPS limiting the tries per minutes).
SecLists/Passwords/Default-Credentials/
default-passwords.txt: Completes, no results
combined all the betterdefaultpasslist.txt files using grep and tried a combined credentials attack using the combined & sorted file: Completes, no results
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You'll see I use fun::random_password to create the passwords and once in a while I add one of the most-common 10,000. For the sake of building a family-friendly list of passwords, I also filter the 10,000 through a list of obscene words.
In this and future articles, I'll share some backstory behind each R challenge in this course. My peers have supplied other code challenges you might find interesting: Javascript ... Python ... Java ... Github ... HTML ... SQL ... SQL for Data Science ... PHP
Hashcat is a great tool for cracking passwords offline using the power of your graphics processor unit computational power. It can process an astounding number of password guesses per second, cutting down the time it takes to crack password hashes.
In this article, we will show you how to use Hashcat. We will discuss password lists, and running Hashcat in different environments, be it on a local machine, a virtual environment, or even in the cloud.
Depending on the type of hash, the complexity of the password, and the GPU being used, Hashcat can test up to millions of password combinations per second during a brute force attack, greatly beyond the capacity of a CPU.
Simply put, a hash function takes input data and returns a fixed-length string through mathematical computations. Once the data has been hashed, there is no way to reverse the process and retrieve the original data from the hash.
Websites create a hash of the password as a measure of security to protect users' sensitive data. When a user logs in, the password entered is hashed, and if this hash matches the hash stored in the database, the user is logged in.
The rockyou.txt file comes from the over 32 million user credentials exposed due to a data breach in 2009 on the social media platform RockYou. These passwords were kept in plain text, not hashed or otherwise obfuscated.
Performance Overhead: Running Hashcat in a VM is slower than running it on native hardware, especially due to its GPU-intensive tasks, because of the additional layer of abstraction provided by the VM.
Hardware Access: While most VM solutions support passing through USB devices to the guest operating system, GPU passthrough (beneficial for a tool like Hashcat) can be complex and may only be supported on some systems or with some VM software.
The decision to run Hashcat directly on the host OS versus in a VM depends on your specific needs and resources. Running Hashcat natively on the host operating system like Windows has its own set of pros and cons.
Performance: Running Hashcat on the host OS performs better than running it inside a VM. This is because there are no additional layers of abstraction between the application and the hardware.
Resource Consumption: Hashcat is designed to use as much of your system's resources as possible to perform its tasks quickly. While running, your computer might be slow to respond to other tasks.
System Compatibility: While Hashcat is built to be compatible with a wide range of systems and hardware, there can always be unforeseen compatibility issues or bugs that could impact its performance or stability on some systems.
To start using Hashcat in Windows, head to the command line and move into the directory you saved it. Next, you need to load hashcat.exe and any options you want to run. We'll discuss these in another section.
Scalability: Cloud platforms offer the ability to easily scale up your resources. If you need more computing power quickly, you can start a powerful GPU instance, run your task, and shut it down when you're done.
Price: While cloud services can be cost-effective, the costs can also add up quickly if you're running powerful instances for long periods of time. GPU instances can be particularly expensive.
AS-REP (Authentication Service Response): This hash is part of the Kerberos protocol used for network authentication, including in Windows Active Directory domains and some Unix environments. This hash is acquired through AS-REP roasting, which extracts users' password hashes with the activated "Do not require Kerberos preauthentication" setting.
NTLM Hash: The NTLM hash is utilized in older Microsoft systems and applications, notably in workgroup environments and for local authentication on non-domain controllers. While it remains in use, more secure protocols like Kerberos are favored. NTLM support remains across all Windows systems to maintain compatibility with older server and client setups.
These tools do their best at guessing the correct hash but may not be able to accurately identify all hashes you input. Understanding the technology you are working with will go a long way in knowing which hash is being used.
You're likely to encounter the NTLM hash, our second hash type, quite frequently if you're pursuing a career as a penetration tester or interested in learning to attack Active Directory. The NTLM hash is still frequently used today in Windows operating systems.
Hashcat is a potent tool that can be deployed to crack a diverse range of hashed passwords, from SHA-256 to NTLM and Kerberos. Hashcat can swiftly crack many passwords by harnessing your GPU's power using a dictionary attack.
You've now learned how Hashcat works and how to use it. Additionally, you've discovered that Hashcat can run in various environments, including in a virtual machine (VM) or the cloud, expanding its versatility.
Yes, you can use Hashcat without a GPU. In this case, Hashcat will default to using the CPU for processing, but be aware that this will result in significantly slower performance compared to using a GPU.
If you're cracking common hashes and speed is your primary concern, Hashcat is typically the better choice. However, if you're dealing with a wider variety of hashes or non-standard hashes, John the Ripper may be more suitable. It ultimately depends on your specific requirements and resources.
To use Hashcat on Windows, you need to download the binary, extract the 7zip file and then run it in the command line from the folder you installed it in. Such as hashcat.exe -m 1000 hash.txt -a 0 wordlist.txt
Developers creating login systems know better than to store passwords in plain text, usually storing hashes of a password to prevent storing the credentials in a way a hacker could steal. Due to the way hashes work, not all are created equal. Some are more vulnerable than others, and a little Python could be used to brute-force any weak hashes to get the passwords they were created from.
Hashes are different from encryption because they do not store data. Instead, the number that makes up a hash is the result of a calculation run on whatever it is you're hashing, be it a password or an entire file. This is used to ensure that the file you are downloading matches the file you're intending to download or to confirm the password the user entered matches the password they signed up with.
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