Pentest-Service-Enumeration
lava
Pentest-Service-Enumeration | lava | |
---|---|---|
5 | 3 | |
93 | 504 | |
- | 2.6% | |
6.5 | 8.2 | |
8 months ago | 9 days ago | |
Shell | Jupyter Notebook | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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Pentest-Service-Enumeration
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OSCP Notes Recon
Checkout Pentest Service Enumeration, you tell the tool what protocol you are testing and it gives you a list of commands to try. You can add your own commands to make the tool more useful.
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Exam this weekend
I created this tool to help me when trying to figure out what to do next. https://github.com/ssstonebraker/Pentest-Service-Enumeration
- recommended tools that do not come with Kali
- Pentest Service Enumeration Tool
lava
- GitHub - lava-nc/lava: A Software Framework for Neuromorphic Computing
- Lava v0.4.0 just released, an open source software framework, community contributions encouraged
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Programmability of neuromorphic chips these days?
Although it looks like Intel is trying hard to bring in the community with their Lava Framework which th why say let’s you develop ‘neuro-inspired’ apps that map to a neurotrophic computer. Might be worth checking out tbh?
What are some alternatives?
awesome-oscp - A curated list of awesome OSCP resources
magicavoxel-shaders - A collection of shaders for MagicaVoxel to generate geometry, noise, patterns, and simplify common and repetitive tasks.
linux-smart-enumeration - Linux enumeration tool for pentesting and CTFs with verbosity levels
azure-sdk-for-python - This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
EZEA - EZEA (EaZy Enum Automator), made for OSCP. This tool uses bash to automate most of the enumeration proces
Spiking-Neural-Network - Pure python implementation of SNN
dirsearch - Web path scanner
python-performance - Repository for the book Fast Python - published by Manning
deepce - Docker Enumeration, Escalation of Privileges and Container Escapes (DEEPCE)
norse - Deep learning with spiking neural networks (SNNs) in PyTorch.