OclHashcat-plus
oclHashcat-plus is an advanced password cracking tool that uses GPU acceleration to crack many hash types very quickly. It supports many algorithms and is optimized for speed.
password
hash
cracking
gpu
cryptography
oclHashcat-plus: Advanced Password Cracking Tool with GPU Acceleration
oclHashcat-plus is an advanced password cracking tool that uses GPU acceleration to crack many hash types very quickly. It supports many algorithms and is optimized for speed.
What is OclHashcat-plus?
oclHashcat-plus is an advanced GPU-accelerated password cracking tool for Linux, Windows, and macOS. It is built to leverage the massive parallel processing power of modern GPUs and supports hash types such as MD5, SHA-1, SHA-2, NTLM, LM, descrypt, bcrypt, scrypt, MySQL, Telegram, SIP, PDF, Kerberos, etc.
Some key features of oclHashcat-plus include:
- Very fast cracking speeds by utilizing GPU acceleration
- Supports CPU cracking as well for systems without GPUs
- Cracks many complex hash types including salted and embedded hashes
- Rule-based attack engine for intelligent password guessing
- Supports distributed cracking across multiple devices
- Built-in benchmarking for performance measurement
- Well documented and frequently updated
oclHashcat-plus is free and open source software released under the MIT license. It is considered one of the best GPU-accelerated password cracking tools available today due to its speed, flexibility, supported algorithms, and active development community.
OclHashcat-plus Features
Features
- GPU-accelerated password cracking
- Supports many hashing algorithms like MD5, SHA-1, SHA-2, bcrypt, etc
- Built-in benchmarking tools
- Supports distributed cracking with multiple GPUs/devices
- Rule-based attack generator
- Mask attack generator
- Supports rainbow tables
Pricing
- Open Source
Pros
Very fast cracking speeds with GPU acceleration
Supports many different hash types
Active development and updates
Free and open source
Cons
Requires GPU for optimal performance
Steep learning curve
Can be resource intensive
Official Links
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