Hacking on Medium
The Great way to Spam Office365 & Chase Bank ICQ#715450097

The Covid19 Turn the table, 90% of the world population now come to online, Now Most of the people using the internet to do shopping, buy…

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Hacking on Medium
Creating my first PCB — Object

https://cdn-images-1.medium.com/max/750/1*rMrfhCebTDdYaznlAu0TEg.jpeg
But before we get to that… let’s talk processing. I’ve been using the Arduino as the brains for my projects for a while now. It’s gotten a…

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Hacking on Medium
Five things to think about while building a secure cloud-first strategy for your organization

https://cdn-images-1.medium.com/max/2600/1*c5xTMngQOkr2KGlZiYyfZQ.jpeg
Companies opting for a cloud-first strategy is more commonplace today than it was a few years earlier.

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Black Hat Ethical Hacking
Malicious Chrome ad blocker injects ads behind the scenes

https://www.blackhatethicalhacking.com/wp-content/uploads/2021/08/Untitled-design-2-1.png Malicious Chrome ad blocker injects ads behind the scenesPost Views: 85
Reading Time: 1 Minute
The AllBlock Chromium ad blocking extension has been found to be injecting hidden affiliate links that generate commissions for the developers.
This extension is still available on Chrome’s Web Store and promotes itself as an ad blocker that focuses on YouTube and Facebook to prevent pop-ups and speed up browsing.

However, according to researchers at Imperva, the extension is actually conducting a deceptive ad-injection campaign that causes legitimate URLs to redirect to affiliate links controlled by the extension’s developers.

Ad injection is the process of inserting advertisements or links into a web page that doesn’t normally host them, allowing the scammers to make money from advertisements or redirect people to affiliate sites to earn commissions.
https://www.bleepstatic.com/images/news/u/1220909/Code%20and%20Details/Ad-Blocker-image-1-1024x419.png.jpg
In August 2021, Imperva’s researchers discovered a set of previously unknown malicious domains distributing an ad injection script.This malicious script would send legitimate URLs to a remote server and receive a list of redirection domains as a response. If a user clicks on an altered link, the user is redirected to a different page, typically, an affiliate link.

The ad-injecting script even features evasion techniques such as excluding large Russian search engines, clearing the debugging console every 100 ms, and active detection of initialized Firebug variables.

By taking a deeper look at AllBlock, Imperva’s team found the script they were hunting for in “bg.js,” which injects code into every new tab opened on the browser.
https://www.bleepstatic.com/images/news/u/1220909/Code%20and%20Details/Ad-blocker-image-4-1024x396.png.jpg
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cellent user reviews because its functionality as an adblocker has been properly implemented. Nonetheless, it introduces deception risks and confuses shoppers.
See Also: Hacking stories – Operation Aurora: When China hacked Google Source: www.bleepingcomputer.com (Click Link)Recent News* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/10/maxresdefault-90x90.jpg Brizy WordPress Plugin Exploit Chains Allow Full Site Takeovers1 day ago
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The post Malicious Chrome ad blocker injects ads behind the scenes first appeared on Black Hat Ethical Hacking.

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Share 5,000,000 TOP in the TOP Mainnet Experience Week
https://medium.com/top-network/share-5-000-000-top-in-the-top-mainnet-experience-week-9f8e28b59034?source=rss------bug_bounty-5

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Round 2 Bounty Duration: October 20-November 4(SGT)Continue reading on TOP Network » (https://medium.com/top-network/share-5-000-000-top-in-the-top-mainnet-experience-week-9f8e28b59034?source=rss------bug_bounty-5)

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Share 5,000,000 TOP in the TOP Mainnet Experience Week

Round 2 Bounty Duration: October 20-November 4(SGT)Continue reading on TOP Network »
Read more...

hacking: security in practice
Should people be allowed to biohack their bodies with DIY cybernetic enhancements? (Survey)

I'm doing some research on DIY cybernetic implants. I believe your insights could be extremely helpful.

Here is the survey: https://form.typeform.com/to/djJUA4vD

The survey should take about 5 minutes.

I appreciate your help 🙏

submitted by /u/KazRainer
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Hacking on Medium
Business Logic Vulnerabilities

https://cdn-images-1.medium.com/max/625/1*2rknqeU80IQccQBNJdjBrA.jpeg
How do Attackers Exploit Business Logic Problems?

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Hacking on Medium
Password Policy Best Practices

https://cdn-images-1.medium.com/max/2600/1*6vl6VyzTmZYgtZtNj-jjlw.jpeg
In this article, we will discuss some “uncommon” password policy best practices, that are not followed by a lot of companies. Those are…

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Networkit - A Growing Open-Source Toolkit For Large-Scale Network Analysis
http://www.kitploit.com/2021/10/networkit-growing-open-source-toolkit.html

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Requirements
You will need the following software to install NetworKit as a python package: A modern C++ compiler, e.g.: g++ (https://gcc.gnu.org/) (>= 6.1), clang++ (https://clang.llvm.org/) (>= 3.9) or MSVC (>= 14.13) OpenMP for parallelism (usually ships with the compiler) Python3 (3.6 or higher is supported) Development libraries for Python3. The package name depends on your distribution. Examples: Debian/Ubuntu: apt-get install python3-dev RHEL/CentOS: dnf install python3-devel Windows: Use the official release installer from www.python.org (https://www.python.org/downloads/windows/) Pip (https://pypi.python.org/pypi/pip) CMake (https://cmake.org/) version 3.6 or higher (Advised to use system packages if available. Alternative: pip3 install cmake) Build system: Make (https://www.gnu.org/software/make/) or Ninja (https://ninja-build.org/) Cython version 0.29 or higher (e.g., pip3 install cython)
Install
In order to use NetworKit, you can either install it via package managers or build the Python module from source.
Install via package manager
While the most recent version is in general available for all package managers, the number of older downloadable versions differ.
pip
pip3 install [--user] networkit

conda (channel conda-forge)
conda config --add channels conda-forge
conda install networkit [-c conda-forge]

brew
brew install networkit

spack
spack install py-networkit

Building the Python module from source
git clone https://github.com/networkit/networkit networkit
cd networkit
python3 setup.py build_ext [-jX]
pip3 install -e .
The script will call cmake and ninja (make as fallback) to compile NetworKit as a library, build the extensions and copy it to the top folder. By default, NetworKit will be built with the amount of available cores in optimized mode. It is possible the add the option -jN the number of threads used for compilation.
Usage example
To get an overview and learn about NetworKit's different functions/classes, have a look at our interactive notebooks-section (https://github.com/networkit/networkit/blob/master/notebooks/), especially the Networkit UserGuide (https://github.com/networkit/networkit/blob/master/notebooks/User-Guide.ipynb). Note: To view and edit the computed output from the notebooks, it is recommended to use Jupyter Notebook (https://jupyter.org/install.html). This requires the prior installation of NetworKit. You should really check that out before start working on your network analysis. We also provide a Binder-instance of our notebooks. To access (https://www.kitploit.com/search/label/Access) this service, you can either click on the badge at the top or follow this link (https://mybinder.org/v2/gh/networkit/networkit/master?urlpath=lab/tree/notebooks). Disclaimer: Due to rebuilds of the underlying image, it can takes some time until your Binder instance is ready for usage. If you only want to see in short how NetworKit is used - the following example provides a climpse at that. Here we generate a random hyperbolic graph with 100k nodes and compute its communities with the PLM method: >> import networkit as nk >>> g = nk.generators.HyperbolicGenerator(1e5).generate() >>> communities = nk.community.detectCommunities(g, inspect=True) PLM(balanced,pc,turbo) detected communities in 0.14577102661132812 [s] solution properties: ------------------- ----------- # communities 4536 min community size 1 max community size 2790 avg. community size 22.0459 modularity 0.987243 ------------------- ----------- ">>>> import networkit as nk
>>> g = nk.generators.HyperbolicGenerator(1e5).generate()
>>> communities = nk.community.detectCommunities(g, inspect=True)
PLM(balanced,pc,turbo) detected communities in 0.14577102661132812 [s]
solution properties:
------------------- -----------
# communities 4536
min community size 1
max community size 2790

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