Hacking on Medium
Dailyhunt Mod Apk Get News Latest Firt

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- Title: DAILYHUNT MOD APK

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Hacking on Medium
Earn Wallet Cash Get Online Money…

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- Title: EARN WALLET CASH MOD APK

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Hacking on Medium
How I found bug on Google Cloud

Hello Everyone, This is Anurag Bhoir and its my first writeup.

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Hacking on Medium
Hack This Site: Realistic Web Mission — Level 3

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Today we are looking at Hack This Site Realistic Mission number 3. This mission requires knowledge of website structures and how web forms…

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Hacking on Medium
Javascript Security Checklist

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Summary

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Hacking on Medium
Proving Grounds | FunboxEasyEnum

A box on Proving Grounds focusing more on enumeration! If in-doubt just enumerate!!

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Hacking on Medium
Double Trouble (V

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Created by: tasiyanci

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Hacking on Medium
Dissecting a fake Discord site.

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Okay so its the year 2021 and we’re almost in 2022. And technology has been evolving much more and we’re more reliant on communicating…

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Disclosure of User Information
https://medium.com/@Anonymous_45/disclosure-of-user-information-9ae86839279d?source=rss------bug_bounty-5

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Hello guys, this is my first medium blog. I’m going to explain about Information Disclosure and how I found it on one of the educational…Continue reading on Medium » (https://medium.com/@Anonymous_45/disclosure-of-user-information-9ae86839279d?source=rss------bug_bounty-5)

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SharpML - Machine Learning Network Share Password Hunting Toolkit

SharpML is a proof of concept file share data mining tool using Machine Learning in Python and C#. The tool is discussed in more detail on our blog here, but is summarised below also: SharpML is C# and Python based tool that performs a number of operations with a view to mining file shares, querying Active Directory for users, dropping an ML model and associated rules, perfoming Active Directory authentication checks, with a view to automating the process of hunting for passwords in file shares by feeding the mined data into the ML model. The ML model is written in Python, and has been developed using a custom algorithm to identify likelyhoods of passwords. The model has been compiled with PyInstaller and sits as resource file in the C# wrapper, which interops between itself, the data and the model. The program logic can be seen below: Currently it allows for a single file share to be assessed. You will need to have read access to the file share you are targeting, after which the tool will perform its activities mostly autonomously. There a compiled release in the release section, and it is to be noted that this tool is currently a PoC and subject to numerous improvements. Usage: cmd.exe C:\> SharpML.exe -u \\fileshare\d$ Cobalt Strike > execute-assembly SharpML.exe -u \\fileshare\d$ Authors Marco Valentini Tom Kallo To Do When SharpML is run it will attempt to verify all users that it finds. If a restrictive domain lockout policy exits, it may attempt to verify users multiple times and lock the account out in event of multiple failed authentications Some file size limitations need to be implemented in order for larger text based files not to cause a bottle neck when copying the raw data Select the option of running multiple file shares simultaneously. By implementing an automatic share finder, allow SharpML to be completely autonomous and scour the whole network Improve some program logic, including further options such as the choice of cehcking against 10,000 most common passwords or not Download SharpML
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