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PassBreaker is a command-line password cracking tool developed in Python. It allows you to perform various password cracking techniques such as wordlist-based attacks and brute force attacks.Β
Clone the repository:
FreshRSS 
git clone https://github.com/HalilDeniz/PassBreaker.gitInstall the required dependencies:
pip install -r requirements.txtpython passbreaker.py <password_hash> <wordlist_file> [--algorithm]Replace <password_hash> with the target password hash and <wordlist_file> with the path to the wordlist file containing potential passwords.
--algorithm <algorithm>: Specify the hash algorithm to use (e.g., md5, sha256, sha512).-s, --salt <salt>: Specify a salt value to use.-p, --parallel: Enable parallel processing for faster cracking.-c, --complexity: Evaluate password complexity before cracking.-b, --brute-force: Perform a brute force attack.--min-length <min_length>: Set the minimum password length for brute force attacks.--max-length <max_length>: Set the maximum password length for brute force attacks.--character-set <character_set>: Set the character set to use for brute force attacks.Elbette! Δ°Εte Δ°ngilizce olarak yazΔ±lmΔ±Ε baΕlΔ±k ve küçük bir bilgi ile daha fazla kullanΔ±m ΓΆrneΔi:
python passbreaker.py 5f4dcc3b5aa765d61d8327deb882cf99 passwords.txt --algorithm md5This command attempts to crack the password with the hash value "5f4dcc3b5aa765d61d8327deb882cf99" using the MD5 algorithm and a wordlist from the "passwords.txt" file.
python passbreaker.py 5f4dcc3b5aa765d61d8327deb882cf99 --brute-force --min-length 6 --max-length 8 --character-set abc123This command performs a brute force attack to crack the password with the hash value "5f4dcc3b5aa765d61d8327deb882cf99" by trying all possible combinations of passwords with a length between 6 and 8 characters, using the character set "abc123".
python passbreaker.py 5f4dcc3b5aa765d61d8327deb882cf99 passwords.txt --algorithm sha256 --complexityThis command evaluates the complexity of passwords in the "passwords.txt" file and attempts to crack the password with the hash value "5f4dcc3b5aa765d61d8327deb882cf99" using the SHA-256 algorithm. It only tries passwords that meet the complexity requirements.
python passbreaker.py 5f4dcc3b5aa765d61d8327deb882cf99 passwords.txt --algorithm md5 --salt mysalt123This command uses a specific salt value ("mysalt123") for the password cracking process. Salt is used to enhance the security of passwords.
python passbreaker.py 5f4dcc3b5aa765d61d8327deb882cf99 passwords.txt --algorithm sha512 --parallelThis command performs password cracking with parallel processing for faster cracking. It utilizes multiple processing cores, but it may consume more system resources.
These examples demonstrate different features and use cases of the "PassBreaker" password cracking tool. Users can customize the parameters based on their needs and goals.
This tool is intended for educational and ethical purposes only. Misuse of this tool for any malicious activities is strictly prohibited. The developers assume no liability and are not responsible for any misuse or damage caused by this tool.
Contributions are welcome! To contribute to PassBreaker, follow these steps:
If you have any questions, comments, or suggestions about PassBreaker, please feel free to contact me:
PassBreaker is released under the MIT License. See LICENSE for more information.
Mass bruteforce network protocols
Simple personal script to quickly mass bruteforce common services in a large scale of network.
It will check for default credentials on ftp, ssh, mysql, mssql...etc.
This was made for authorized red team penetration testing purpose only.
masscan(faster than nmap) to find alive hosts with common ports from network segment.masscan result.hydra commands to automatically bruteforce supported network services on devices.Kali linux or any preferred linux distributionPython 3.10+# Clone the repo
git clone https://github.com/opabravo/mass-bruter
cd mass-bruter
# Install required tools for the script
apt update && apt install seclists masscan hydraPrivate ip range :
10.0.0.0/8,192.168.0.0/16,172.16.0.0/12
Save masscan results under ./result/masscan/, with the format masscan_<name>.<ext>
Ex: masscan_192.168.0.0-16.txt
Example command:
masscan -p 3306,1433,21,22,23,445,3389,5900,6379,27017,5432,5984,11211,9200,1521 172.16.0.0/12 | tee ./result/masscan/masscan_test.txtExample Resume Command:
masscan --resume paused.conf | tee -a ./result/masscan/masscan_test.txtCommand Options
βββ(rootγΏroot)-[~/mass-bruter]
ββ# python3 mass_bruteforce.py
Usage: [OPTIONS]
Mass Bruteforce Script
Options:
-q, --quick Quick mode (Only brute telnet, ssh, ftp , mysql,
mssql, postgres, oracle)
-a, --all Brute all services(Very Slow)
-s, --show Show result with successful login
-f, --file-path PATH The directory or file that contains masscan result
[default: ./result/masscan/]
--help Show this message and exit.Quick Bruteforce Example:
python3 mass_bruteforce.py -q -f ~/masscan_script.txtFetch cracked credentials:
python3 mass_bruteforce.py -sdpl4hydra
Any contributions are welcomed!
Mimicry is a security tool developed by Chaitin Technology for active deception in exploitation and post-exploitation.
Active deception can live migrate the attacker to the honeypot without awareness. We can achieve a higher security level at a lower cost with Active deception.
English | δΈζζζ‘£
docker info
docker-compose version
docker-compose build
docker-compose up -d
update config.yaml,replace ${honeypot_public_ip} to the public IP of honeypot service
./mimicry-tools webshell -c config.yaml -t php -p webshell_path
| Tool | Description |
|---|---|
| Web-Deception | Fake vulnerabilities in web applications |
| Webshell-Deception | live migrate webshell to the honeypot |
| Shell-Deception | live migrate ReverseShell/BindShell to the honeypot |
This tool is only for legally authorized enterprise security construction behaviors and personal learning behaviors. If you need to test the usability of this tool, please build a target drone environment by yourself.
When using this tool for testing, you should ensure that the behavior complies with local laws and regulations and has obtained sufficient authorization. Do not scan unauthorized targets.
We reserve the right to pursue your legal responsibility if the above prohibited behavior is found.
If you have any illegal behavior in the process of using this tool, you shall bear the corresponding consequences by yourself, and we will not bear any legal and joint responsibility.
Before installing and using this tool, please be sure to carefully read and fully understand the terms and conditions.
Unless you have fully read, fully understood and accepted all the terms of this agreement, please do not install and use this tool. Your use behavior or your acceptance of this Agreement in any other express or implied manner shall be deemed that you have read and agreed to be bound by this Agreement.
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|#| /#/ Lightweight Asset Mapping Tool by: kv2
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|#.#/ /Edge/ /Forum| /#\ |#\ |#|
|##| |#|___ |#| /###\ |##\|#|
|#.#\ \#####\|#| /#/_\#\ |#.#.#|
|#|\#\ /\___|#||#|____/#/###\#\|#|\##|
|#| \#\\#####/ \#####/#/ \#\#| \#|
Kscan is an asset mapping tool that can perform port scanning, TCP fingerprinting and banner capture for specified assets, and obtain as much port information as possible without sending more packets. It can perform automatic brute force cracking on scan results, and is the first open source RDP brute force cracking tool on the go platform.
At present, there are actually many tools for asset scanning, fingerprint identification, and vulnerability detection, and there are many great tools, but Kscan actually has many different ideas.
Kscan hopes to accept a variety of input formats, and there is no need to classify the scanned objects before use, such as IP, or URL address, etc. This is undoubtedly an unnecessary workload for users, and all entries can be normal Input and identification. If it is a URL address, the path will be reserved for detection. If it is only IP:PORT, the port will be prioritized for protocol identification. Currently Kscan supports three input methods (-t,--target|-f,--fofa|--spy).
Kscan does not seek efficiency by comparing port numbers with common protocols to confirm port protocols, nor does it only detect WEB assets. In this regard, Kscan pays more attention to accuracy and comprehensiveness, and only high-accuracy protocol identification , in order to provide good detection conditions for subsequent application layer identification.
Kscan does not use a modular approach to do pure function stacking, such as a module obtains the title separately, a module obtains SMB information separately, etc., runs independently, and outputs independently, but outputs asset information in units of ports, such as ports If the protocol is HTTP, subsequent fingerprinting and title acquisition will be performed automatically. If the port protocol is RPC, it will try to obtain the host name, etc.
Kscan currently has 3 ways to input targets
IP address: 114.114.114.114
IP address range: 114.114.114.114-115.115.115.115
URL address: https://www.baidu.com
File address: file:/tmp/target.txt
[Empty]: will detect the IP address of the local machine and detect the B segment where the local IP is located
[all]: All private network addresses (192.168/172.32/10, etc.) will be probed
IP address: will detect the B segment where the specified IP address is located
fofa search keywords: will directly return fofa search results
usage: kscan [-h,--help,--fofa-syntax] (-t,--target,-f,--fofa,--spy) [-p,--port|--top] [-o,--output] [-oJ] [--proxy] [--threads] [--path] [--host] [--timeout] [-Pn] [-Cn] [-sV] [--check] [--encoding] [--hydra] [hydra options] [fofa options]
optional arguments:
-h , --help show this help message and exit
-f , --fofa Get the detection object from fofa, you need to configure the environment variables in advance: FOFA_EMAIL, FOFA_KEY
-t , --target Specify the detection target:
IP address: 114.114.114.114
IP address segment: 114.114.114.114/24, subnet mask less than 12 is not recommended
IP address range: 114.114.114.114-115.115.115.115
URL address: https://www.baidu.com
File address: file:/tmp/target.txt
--spy network segment detection mode, in this mode, the internal network segment reachable by the host will be automatically detected. The acceptable parameters are:
(empty), 192, 10, 172, all, specified IP address (the IP address B segment will be detected as the surviving gateway)
--check Fingerprinting the target address, only port detection will not be performed
--scan will perform port scanning and fingerprinting on the target objects provided by --fofa and --spy
-p , --port scan the specified port, TOP400 will be scanned by default, support: 80, 8080, 8088-8090
-eP, --excluded-port skip scanning specified portsοΌsupportοΌ80,8080,8088-8090
-o , --output save scan results to file
-oJ save the scan results to a file in json format
-Pn After using this parameter, intelligent survivability detection will not be performed. Now intelligent survivability detection is enabled by default to improve efficiency.
-Cn With this parameter, the console output will not be colored.
-sV After using this parameter, all ports will be probed with full probes. This parameter greatly affects the efficiency, so use it with caution!
--top Scan the filtered common ports TopX, up to 1000, the default is TOP400
--proxy set proxy (socks5|socks4|https|http)://IP:Port
--threads thread parameter, the default thread is 100, the maximum value is 2048
--path specifies the directory to request access, only a single directory is supported
--host specifies the header Host value for all requests
--timeout set timeout
--encoding Set the terminal output encoding, which can be specified as: gb2312, utf-8
--match returns the banner to the asset for retrieval. If there is a keyword, it will be displayed, otherwise it will not be displayed
--hydra automatic blasting support protocol: ssh, rdp, ftp, smb, mysql, mssql, oracle, postgresql, mongodb, redis, all are enabled by default
hydra options:
--hydra-user custom hydra blasting username: username or user1,user2 or file:username.txt
--hydra-pass Custom hydra blasting password: password or pass1,pass2 or file:password.txt
If there is a comma in the password, use \, to escape, other symbols do not need to be escaped
--hydra-update Customize the user name and password mode. If this parameter is carried, it is a new mode, and the user name and password will be added to the default dictionary. Otherwise the default dictionary will be replaced.
--hydra-mod specifies the automatic brute force cracking module: rdp or rdp, ssh, smb
fofa options:
--fofa-syntax will get fofa search syntax description
--fofa-size will set the number of entries returned by fofa, the default is 100
--fofa-fix-keyword Modifies the keyword, and the {} in this parameter will eventually be replaced with the value of the -f parameter
The function is not complicated, the others are explored by themselves
During the forensic analysis of a Windows machine, you may find the name of a deleted prefetch file. While its content may not be recoverable, the filename itself is often enough to find the full path of the executable for which the prefetch file was created.
The following fields must be provided:
Executable name
Including the extension. It will be embedded in the prefetch filename, unless this happens.
Prefetch hash
8 hexadecimal digits at the end of the prefetch filename, right before the .pf extension.
Hash function
Bodyfile
Mount point
There are 3 known prefetch hash functions:
SCCA XP
Used in Windows XP
SCCA Vista
Used in Windows Vista and Windows 10
SCCA 2008
Used in Windows 7, Windows 8 and Windows 8.1
A bodyfile of the volume the executable was executed from.
The bodyfile format is not very restrictive, so there are a lot of variations of it - some of which are not supported. Body files created with fls and MFTECmd should work fine.
The mount point of the bodyfile, as underlined below:
0|C:/Users/Peter/Desktop ($FILE_NAME)|62694-48-2|d/d-wx-wx-wx|...The provided bodyfile is used to get the path of every folder on the volume. The tool appends the provided executable name to each of those paths to create a list of possible full paths for the executable. Each possible full path is then hashed using the provided hash function. If there's a possible full path for which the result matches the provided hash, that path is outputted.
The following cases are not supported:
svchost.exe and mmc.exe
/prefetch:# flagIf the executable name is longer than 29 characters (including the extension), it will be truncated in the prefetch filename. For example, executing this file:
This is a very long file nameSo this part will be truncated.exe
From the C:\Temp directory on a Windows 10 machine, will result in the creation of this prefetch file:
THIS IS A VERY LONG FILE NAME-D0B882CC.pf
In this case, the executable name cannot be derived from the prefetch filename, so you will not be able to provide it to the tool.
psudohash is a password list generator for orchestrating brute force attacks. It imitates certain password creation patterns commonly used by humans, like substituting a word's letters with symbols or numbers, using char-case variations, adding a common padding before or after the word and more. It is keyword-based and highly customizable.
System administrators and other employees often use a mutated version of the Company's name to set passwords (e.g. Am@z0n_2022). This is commonly the case for network devices (Wi-Fi access points, switches, routers, etc), application or even domain accounts. With the most basic options, psudohash can generate a wordlist with all possible mutations of one or multiple keywords, based on common character substitution patterns (customizable), case variations, strings commonly used as padding and more. Take a look at the following example:
The script includes a basic character substitution schema. You can add/modify character substitution patterns by editing the source and following the data structure logic presented below (default):
transformations = [
{'a' : '@'},
{'b' : '8'},
{'e' : '3'},
{'g' : ['9', '6']},
{'i' : ['1', '!']},
{'o' : '0'},
{'s' : ['$', '5']},
{'t' : '7'}
]
When it comes to people, i think we all have (more or less) set passwords using a mutation of one or more words that mean something to us e.g., our name or wife/kid/pet/band names, sticking the year we were born at the end or maybe a super secure padding like "!@#". Well, guess what?
No special requirements. Just clone the repo and make the script executable:
git clone https://github.com/t3l3machus/psudohash
cd ./psudohash
chmod +x psudohash.py
./psudohash.py [-h] -w WORDS [-an LEVEL] [-nl LIMIT] [-y YEARS] [-ap VALUES] [-cpb] [-cpa] [-cpo] [-o FILENAME] [-q]
The help dialog [ -h, --help ] includes usage details and examples.
--years and --append-numbering with a --numbering-limit β₯ last two digits of any year input, will most likely produce duplicate words because of the mutation patterns implemented by the tool.I'm gathering information regarding commonly used password creation patterns to enhance the tool's capabilities.
ZenBuster is a multi-threaded, multi-platform URL enumeration tool written in Python by Zach Griffin (@0xTas).
I wrote this tool as a way to deepen my familiarity with Python, and to help increase my understanding of Cybersecurity tooling in general. ZenBuster may not be the fastest or most comprehensive tool of its kind. It is however, simple to use, decently flexible, and in practice only marginally slower than other "tried-and-true" tools like Gobuster. Personally, I have been using it to help me solve CTF challenges on platforms like TryHackMe, and have found my implementation to be satisfactorily reliable.
This software is intended for use in CTF challenges, or by security professionals to gather information on their targets:
ZenBuster is capable of producing a potentially unwelcome number of HTTP requests in a short amount of time.
The developers and contributors are not liable or responsible for any damage caused by misuse or abuse of this software.
Please Enumerate Responsibly!
ZenBuster is licensed under the GNU GPLv3 License, see here for more information.
Yin-Yang ASCII art in the banners were created by Joan G. Stark (jgs) and Hayley Jane Wakenshaw (hjw). Modifications were made by me, when specified with: 'zg'.
Firstly, ensure that Python version >= 3.6 is installed, then clone the repository with:
git clone https://github.com/0xTas/zenbuster.git
Next, cd zenbuster.
ZenBuster relies on 3 external libraries to function, and it is recommended to install these with:
pip install -r requirements.txt
The modules that will be installed and their purposes are as follows:
These dependencies may be installed manually, with pip using requirements.txt, or via interaction with the script upon first run.
Once dependencies have been installed, you can run the program in the following ways:
./zenbuster.py [options] or python3 zenbuster.py [options]
python zenbuster.py [options]
| Short Flag | Long Flag | Purpose |
|---|---|---|
| -h | --help | Displays the help screen and exits |
| -d | --dirs | Enables Directory Enumeration Mode |
| -s | -ssl | Forces usage of HTTPS in requests |
| -v | --verbose | Prints verbose info to terminal/log |
| -q | --quiet | Minimal terminal output until final results |
| -nc | --no-color | Disables colored terminal output |
| -nl | --no-lolcat | Disables lolcat-printed banner (Linux only) |
| -u <hostname> | --host | Host to target for the scan |
| -w <wordlist> | --wordlist | Path to wordlist/dictionary file |
| -x <exts> | --ext | Comma-separated list of file extensions (Dirs only) |
| -p <port#> | --port | Custom port option for nonstandard webservers |
| -o [filename] | --out-file | Log results to a file (accepts custom name/path) |
./zenbuster.py -d -w /usr/share/wordlists/dirb/common.txt -u target.thm -v
python3 zenbuster.py -w ../subdomains.txt --host target.thm --ssl -O myResults.log
zenbuster -w subdomains.txt -u target.thm --quiet (With .bashrc alias)
