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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 »
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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
[link] [comments]

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Should people be allowed to biohack their bodies with DIY...

I'm doing some research on DIY cybernetic implants. I believe your insights could be extremely helpful. Here is the survey:...

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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?

Continue reading on Medium »

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Medium

Business Logic Vulnerabilities

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…

Continue reading on Medium »

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Medium

Password Policy Best Practices

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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Hacking Articles Tips Tricks Videos Tutorials

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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Kitploit

Kitploit – Maintenance in Progress

Kitploit is temporarily under maintenance. We’ll be back shortly with improvements.

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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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Python.org

Python Releases for Windows

The official home of the Python Programming Language

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avg. community size 22.0459
modularity 0.987243
------------------- -----------

Install the C++ Core only
In case you only want to work with NetworKit's C++ core, you can either install it via package managers or build it from source.
Install C++ core via package manager

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

brew
brew install libnetworkit

spack
spack install libnetworkit

Building the C++ core from source
We recommend CMake (https://cmake.org/) and your preferred build system for building the C++ part of NetworKit. The following description shows how to use CMake (https://cmake.org/) in order to build the C++ Core only: First you have to create and change to a build directory: (in this case named build) mkdir build
cd build
Then call CMake (https://cmake.org/) to generate files for the make build system, specifying the directory of the root CMakeLists.txt file (e.g., ..). After this make is called to start the build process: cmake ..
make -jX
To speed up the compilation with make a multi-core machine, you can append -jX where X denotes the number of threads to compile with.
Use NetworKit as a library
This paragraph explains how to use the NetworKit core C++ library in case it has been built from source. For how to use it when installed via package managers, best refer to the official documentation (brew (https://brew.sh/), conda (https://docs.conda.io/), spack (https://spack.readthedocs.io/en/latest)). In order to use the previous compiled networkit library, you need to have it installed, and link it while compiling your project. Use these instructions to compile and install NetworKit in /usr/local: cmake ..
make -jX install
Once NetworKit has been installed, you can use include directives in your C++-application as follows: ">#include
You can compile your source as follows: g++ my_file.cpp -lnetworkit

Unit tests
Building and running NetworKit unit tests is not mandatory. However, as a developer you might want to write and run unit tests for your code, or if you experience any issues with NetworKit, you might want to check if NetworKit runs properly. The unit tests can only be run from a clone or copy of the repository and not from a pip installation. In order to run the unit tests, you need to compile them first. This is done by setting the CMake (https://cmake.org/) NETWORKI_BUILD_TESTS flag to ON: cmake -DNETWORKIT_BUILD_TESTS=ON ..
Unit tests are implemented using GTest macros such as TEST_F(CentralityGTest, testBetweennessCentrality). Single tests can be executed with: ./networkit_tests --gtest_filter=CentralityGTest.testBetweennessCentrality
Additionally, one can specify the level of the logs outputs by adding --loglevel ; supported log levels are: TRACE, DEBUG, INFO, WARN, ERROR, and FATAL.
Compiling with address/leak sanitizers
Sanitizers are great tools to debug your code. NetworKit provides additional Cmake (https://cmake.org/) flags to enable address, leak, and undefined behavior sanitizers. To compile your code with sanitizers, set the CMake (https://cmake.org/) NETWORKIT_WITH_SANITIZERS to either address or leak: cmake -DNETWORKIT_WITH_SANITIZERS=leak ..
By setting this flag to address, your code will be compiled with the address and the undefined sanitizers. Setting it to leak also adds the leak sanitizer.
Documentation
The most recent version of the documentation can be found online (https://networkit.github.io/dev-docs/index.html).
Contact
For questions regarding NetworKit, have a look at our issues-section (https://github.com/networkit/networkit/issues) and see if there is already an open discussion. If not feel free to open a new issue. To stay updated about this project, subscribe to our mailing list (https://sympa.cms.hu-berlin.de/sympa/subscribe/networkit).
Contributions

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cmake.org

CMake - Upgrade Your Software Build System

CMake is a powerful and comprehensive solution for managing the software build process. CMake is the de-facto standard for building C++ code, with over 2 million downloads a month.

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We encourage contributions to the NetworKit source code. See the development guide (https://networkit.github.io/dev-docs/DevGuide.html#devGuide) for instructions. For support please contact the mailing list (https://sympa.cms.hu-berlin.de/sympa/subscribe/networkit).
Credits
List of contributors can be found on the NetworKit (https://networkit.github.io/credits.html)website (https://www.kitploit.com/search/label/Website) credits page.
External Code
The program source includes: the TLX (https://github.com/tlx/tlx/) library the TTMath (http://www.ttmath.org/) bignum library
License
The source code of this program is released under the MIT License (http://opensource.org/licenses/MIT). We ask you to cite us if you use this code in your project (c.f. the publications section below and especially the technical report (https://arxiv.org/abs/1403.3005)). Feedback is also welcome.
Publications
The NetworKit publications page (https://networkit.github.io/publications.html) lists the publications on NetworKit as a toolkit, on algorithms available in NetworKit, and simply using NetworKit. We ask you to cite the appropriate ones if you found NetworKit useful for your own research.

Download Networkit (https://github.com/networkit/networkit)

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Black Hat Ethical Hacking
Offensive Security Tool: Dalfox

https://www.blackhatethicalhacking.com/wp-content/uploads/2021/08/Untitled-design-2-1.png Offensive Security Tool: DalfoxPost Views: 23 https://www.blackhatethicalhacking.com/wp-content/uploads/2021/08/BECOME-A-PATRON-AND-UNLOCK-EXCLUSIVE-VIDEOS-1.png Reading Time: 5 Minutes

Offensive Security Tool: Dalfox GitHub Link What is DalFoxDalFox by hahwul, is a fast and powerful parameter analysis and XSS scanner, based on a golang/DOM parser. It supports friendly Pipeline, CI/CD and testing of different types of XSS. In regards to the naming: Dal(달) is the Korean pronunciation of moon and fox was made into Fox (Find Of XSS).

This tool is very powerful and fast. The fact that you can use piping and can chain several other tools using it, makes it really effective especially when you want to do your 1 liner attack, combining the recon process to it.

It also means that you can do things like 1 liner powerful attacks as a tip from BHEH:

cat “domain”.txt | gf xss | sed ‘s/=.*/=/’ | sed ‘s/URL: //’ | tee domain_temp_xss.txt | dalfox pipe -H “AuthToken: bbadsfkasdfadsf87”

Meaning you can chain several commands, and even find cross site scripting attacks (XSS) and more! Its highly customizable, so we recommend you check the complete documentation. TOC* Key features
* How to Install
* Usage
* POC format
* In the Code
* Screenshots
* Wiki
* Contribute
* Contributors
See Also: Malicious Chrome ad blocker injects ads behind the scenes Key featuresMode: url sxss pipe file server payload
Class Key Feature Description Discovery Parameter analysis – Find reflected param
– Find alive/bad special chars, event handler and attack code
– Identification of injection points(HTML/JS/Attribute)
inHTML-none inJS-none inJS-double inJS-single inJS-backtick inATTR-none inATTR-double inATTR-single Static analysis – Check bad-header like CSP, XFO, etc.. with req/res base BAV analysis – Testing BAV(Basic Another Vulnerability) , e.g sqli ssti open-redirects, crlf Parameter Mining – Find new param with Dictonary attack (default is GF-Patterns)- Support custom dictonary file (–mining-dict-word)
– Find new param with DOM
– Use remote wordlist to mining (–remote-wordlists) Built-in Grepping – It Identify the basic info leak of SSTi, Credential, SQL Error, and so on WAF Detection and Evasion – Detect to WAF(Web Application Firewall).
– if found waf and using special flag, evasion using slow request
– –waf-evasion Scanning XSS Scanning – Reflected XSS / Stored XSS / DOM XSS
– DOM base verifying
– Headless base verifying
– Blind XSS testing with param, header(-b , –blind options)
– Only testing selected parameters (-p, –param)
– Only testing parameter analysis (–only-discovery) Friendly Pipeline – Single url mode (dalfox url)
– From file mode (dalfox file urls.txt)
– From IO(pipeline) mode (dalfox pipe)
– From raw http request file mode (dalfox file raw.txt –rawdata) Optimizaion query of payloads – Check the injection point through abstraction and generated the fit payload.
– Eliminate unnecessary payloads based on badchar Encoder – All test payloads(build-in, your custom/blind) are tested in parallel with the encoder.
– To Double URL Encoder
– To HTML Hex Encoder Sequence – Auto-check the special page for stored xss (–trigger)
– Support (–sequence) options for Stored XSS , only sxss mode HTTP HTTP Options – Overwrite HTTP Method (-X, –method)
– Follow redirects (–follow-redirects)
– Add header (-H, –header)
– Add cookie (-C, –cookie)
– Add User-Agent (–user-agent)
– Set timeout (–timeout)
– Set Delay (–delay)
– Set Proxy (–proxy)
– Set ignore return codes (–ignore-return)
– Load cookie from raw request (–cookie-from-raw) Concurrency Worker – Set worker’s number(-w, –worker) N * hosts – Use multica[...]

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Black Hat Ethical Hacking

Offensive Security Tool: Dalfox | Black Hat Ethical Hacking

DalFox is a fast, powerful parameter analysis and XSS scanner. It supports friendly Pipeline, CI/CD and testing of different types of XSS.

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Hacking Articles Tips Tricks Videos Tutorials

Black Hat Ethical Hacking Offensive Security Tool: Dalfox https://www.blackhatethicalhacking.com/wp-content/uploads/2021/08/Untitled-design-2-1.png Offensive Security Tool: DalfoxPost Views: 23 https://www.blackhatethicalhacking.com/wp-content/uploads/2021/08/BECOME…

st mode (–multicast) , only file / pipe mode Output Output – Only the PoC code and useful information is write as Stdout
– Save output (-o, –output) Format – JSON / Plain (–format) Printing – Silence mode (–silence)
– You may choose not to print the color (–no-color)
– You may choose not to print the spinner (–no-spinner)
– You may choose show only special poc code (–only-poc) Extensibility REST API – API Server and Swagger (dalfox server) Payload Mode – Generate and Enumerate Payloads for XSS Testing (dalfox payload) Found Action – Lets you specify the actions to take when detected.
– Notify, for example (–found-action) Custom Grepping – Can grep with custom regular expressions on response
– If duplicate detection, it performs deduplication (–grep) Custom Payloads – Use custom payloads list file (–custom-payload)
– Custom alert value (–custom-alert-value)
– Custom alert type (–custom-alert-type) Remote Payloads – Use remote payloads from portswigger, payloadbox, etc.. (–remote-payloads) Package Package manager – pkg.go.dev
– homebrew with tap
– snapcraft Docker ENV – docker hub
– gitub package of docker Other – github action
And the various options required for the testing. How to InstallFrom sourcego1.17 go install github.com/hahwul/dalfox/v2@latest

go1.16 GO111MODULE=on go get github.com/hahwul/dalfox/v2 Using homebrew (macos)brew tap hahwul/dalfox
brew install dalfox Using snapcraft (ubuntu)sudo snap install dalfox More information? Please read Installation guide UsageModes:
file Use file mode(targets list or rawdata)
help Help about any command
payload Payload mode, make and enum payloads
pipe Use pipeline mode
server Start API Server
sxss Use Stored XSS mode
url Use single target mode
version Show version
Global Flags:
-b, –blind string Add your blind xss
* Example: -b hahwul.xss.ht
–config string Using config from file
-C, –cookie string Add custom cookie
–cookie-from-raw string Load cookie from burp raw http request
* Example: –cookie-from-raw request.txt
–custom-alert-type string Change alert value type
* Example: –custom-alert-type=none / –custom-alert-type=str,none (default “none”)
–custom-alert-value string Change alert value
* Example: –custom-alert-value=document.cookie (default “1”)
–custom-payload string Add custom payloads from file
-d, –data string Using POST Method and add Body data
–debug debug mode, save all log using -o option
–deep-domxss DOM XSS Testing with more payloads on headless [so slow]
–delay int Milliseconds between send to same host (1000==1s)
-F, –follow-redirects Following redirection
–format string Stdout output format
* Supported: plain / json (default “plain”)
–found-action string If found weak/vuln, action(cmd) to next
* Example: –found-action=’./notify.sh’
–found-action-shell string Select shell application for –found-action (default “bash”)
–grep string Using custom grepping file
* Example: –grep ./samples/sample_grep.json
-H, –header strings Add custom headers
–ignore-return string Ignore scanning from return code
* Example: –ignore-return 302,403,404
-X, –method string Force overriding HTTP Method
* Example: -X PUT (default “GET”)
–mining-dict Find new parameter with dictionary attack, default is Gf-Patterns=>XSS (default true)
-W, –mining-dict-word string Custom wordlist file for param mining
* Example: –mining-dict-word word.txt
–mining-dom Find new parameter in DOM (attribute/js value) (default true)
–no-color Not use coloriz[...]

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e
–no-spinner Not use spinner
–only-custom-payload Only testing custom payload (required –custom-payload)
–only-discovery Only testing parameter analysis (same ‘–skip-xss-scanning’ option)
–only-poc string Shows only the PoC code for the specified pattern (g: grep / r: reflected / v: verified)
* Example: –only-poc=’g,v’
-o, –output string Write to output file (By default, only the PoC code is saved)
–output-all All log write mode (-o or stdout)
-p, –param strings Only testing selected parameters
–proxy string Send all request to proxy server
* Example: –proxy http://127.0.0.1:8080
–remote-payloads string Using remote payload for XSS testing
* Supported: portswigger/payloadbox
* Example: –remote-payloads=portswigger,payloadbox
–remote-wordlists string Using remote wordlists for param mining
* Supported: burp/assetnote
* Example: –remote-wordlists=burp
-S, –silence Only print PoC Code and Progress(for pipe/file mode)
–skip-bav Skipping BAV(Basic Another Vulnerability) analysis
–skip-grepping Skipping built-in grepping
–skip-headless Skipping headless browser base scanning[DOM XSS and inJS verify]
–skip-mining-all Skipping ALL parameter mining
–skip-mining-dict Skipping Dict base parameter mining
–skip-mining-dom Skipping DOM base parameter mining
–skip-xss-scanning Skipping XSS Scanning (same ‘–only-discovery’ option)
–timeout int Second of timeout (default 10)
–user-agent string Add custom UserAgent
-w, –worker int Number of worker (default 100)
Server Flags:
-h, –help help for server
–host string Bind address (default “0.0.0.0”)
–port int Bind Port (default 6664)
Pipe Flags:
-h, –help help for pipe
–mass Parallel scanning N*Host mode (show only poc code)
–mass-worker int Parallel worker of –mass and –multicast option (default 10)
–multicast Parallel scanning N*Host mode (show only poc code)
–silence-force Only print PoC (not print progress)
File Flags:
-h, –help help for file
–http Using force http on rawdata mode
–mass Parallel scanning N*Host mode (show only poc code)
–mass-worker int Parallel worker of –mass and –multicast option (default 10)
–multicast Parallel scanning N*Host mode (show only poc code)
–rawdata Using req rawdata from Burp/ZAP
–silence-force Only print PoC (not print progress)
SXSS Flags:
-h, –help help for sxss
–sequence int Set sequence to first number
* Example: –trigger=https://~/view?no=SEQNC –sequence=3 (default -1)
–trigger string Checking this url after inject sxss code
* Example: –trigger=https://~~/profile
Payload Flags:
–encoder-url Encoding output [URL]
–entity-event-handler Enumerate a event handlers for xss
–entity-gf Enumerate a gf-patterns xss params
–entity-special-chars Enumerate a special chars for xss
–entity-useful-tags Enumerate a useful tags for xss
–enum-attr Enumerate a in-attr xss payloads
–enum-common Enumerate a common xss payloads
–enum-html Enumerate a in-html xss payloads
–enum-injs Enumerate a in-js xss payloads
-h, –help help for payload
–make-bulk Make bulk payloads for stored xss
–remote-payloadbox Enumerate a payloadbox’s xss payloads
–remote-portswigger Enumerat[...]

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