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About IoT-Implant-Toolkit
IoT-Implant-Toolkit is a framework of useful tools for malware implantation research of IoT devices. It is a toolkit consisted of essential software tools on firmware modification, serial port debugging, software analysis and stable spy clients. With an easy-to-use and extensible shell-like environment, IoT-Implant-Toolkit is a one-stop-shop toolkit simplifies complex procedure of IoT malware implantation.

In MarvelTeamLab's research, they have succcessfully implanted Trojans in eight devices including smart speakers, cameras, driving recorders and mobile translators with IoT-Implant-Toolkit.

A demo GIF below:

IoT-Implant-Toolkit's Installation
Your must install ffmpeg and sox first:

For Debian-based distro users: sudo apt install sox ffmpeg
For Arch Linux-based user: sudo pacman -S sox ffmpeg

Then, open your Terminal and enter these commands:

Usage
Three commands supported:

list: list all plugins.
run: run a specific plugin with "run [plugin] [parameters]".
exit: to exit.

You might like these similar tools:

Download IoT-Implant-Toolkit

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Tarjeta de combustible: ¡una sola factura para todos sus gastos! Descúbrala

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Web-fu Is a web hacking tool focused on discovering and exploiting web vulnerabilitites.

BROWSER INTEGRATION

This tool has many advantages, as a browser-embedded webhacking tool, is very useful for scanning browser-authenticated applications, if browser can authenticate and access to the web application, the tool also can. Note that some other tools do not support neither certificate authentication nor web vpn accesses.
The integration with chrome, provides a more comfortable and agile way of web-hacking, and you have all the application data loaded on the hacking tool, you don't need to copy the url, cookies, etc. to the tool, just right click and hack.
The browser rendering engine is also used in this tool, to draw the html of the responses.

FALSES POSITIVES

When I coded this tool, I was obsessed with false positives, which is the main problem in all detection tools. I have implemented a gauss algorithm, to reduce the faslse positives automatically which works very very well, and save a lot of time to the pentester.

VIDEO

Here is a video, with some of the web-fu functionalitites:

VISUAL FEATURES

This tool has a visual crawler. Normal crawlers doesn't parse the ajvascript, this tool does. The visual crawler loads each link of the web site, rendering the html and executing all the javascript as a normal load, then the links are processed from he DOM and clicked.
A visual form cracker, is also available, althow is experimental and only works on some kind of forms.

SCANNING FEATURES

The web-fu's portscanner, has a database of a common web ports, like 80,81,8080 and so on.
The cracker module, can bruteforce web directories to find new attack vectors, and can fuzz get and post parameters for discovering vulns, and also crack passwords. There are 9 preloaded wordlists, and you can also load a custom wordlist. Prefilters, falsepositive reductor and render will be helpful. The scanners support SSL, if the website can be loaded in the chrome, can be scanned by web-fu.

ENCODERS & DECODERS

The supported encoders and decoders are: base64, urlescape and urlencode

OTHER FEATURES

A web notepad is available, saving the information on the browser localStorage, there is one notepad per site. A cookie editor is also very useful for pentesting. The inteceptor, is like a web proxy but from the inside of the browser, you can intercept a request There is also a session locker and a exploit web search.

CHROME STORE
Here is the link to the chrome store, the prize is about one euro, very cheap if you compare with other scanners: Web-Fu on Chrome Store

With webfu, you will do the best web site pentest and vulnerability assessment.

Las empresas deben adaptarse a cambios constantes ante las preferencias de sus clientes o
usuarios. El servicio y la atención son los pilares de excelencia que sostienen a cualquier
organización sin importar su giro, tamaño o industria. Por más de seis décadas Disney sigue
marcando las pautas a seguir con sus modelos de negocios, de gran impacto y éxito a nivel
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Curso: Modelo Disney para el Servicio al Cliente
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Curse este curso en vivo y conozca los esfuerzos que han realizado distintas empresas para ofrecer un mejor servicio
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Just a week after Apple released its brand new iPhone X on November 3, a team of researchers has claimed to successfully hack Apple's Face ID facial recognition technology with a mask that costs less than $150. They said Apple iPhone x face id can be hacked with silicon mask easily.

apple iPhone x face id hacked
Yes, Apple's "ultra-secure" Face ID security for the iPhone X is not as secure as the company claimed during its launch event in September this year.

"Apple engineering teams have even gone and worked with professional mask makers and makeup artists in Hollywood to protect against these attempts to beat Face ID," Apple's senior VP of worldwide marketing Phil Schiller said about Face ID system during the event.

"These are actual masks used by the engineering team to train the neural network to protect against them in Face ID."

However, the bad news is that researchers from Vietnamese cybersecurity firm Bkav were able to unlock the iPhone X using a mask.

Yes, Bkav researchers have a better option than holding it up to your face while you sleep. Bkav researchers re-created the owner's face through a combination of 3D printed mask, makeup, and 2D images with some "special processing done on the cheeks and around the face, where there are large skin areas" and the nose is created from silicone.

The researchers have also published a proof-of-concept video, showing the brand-new iPhone X first being unlocked using the specially constructed mask, and then using the Bkav researcher's face, in just one go.

"Many people in the world have tried different kinds of masks but all failed. It is because we understand how AI of Face ID works and how to bypass it," an FAQ on the Bkav website said.

"You can try it out with your own iPhone X, the phone shall recognize you even when you cover a half of your face. It means the recognition mechanism is not as strict as you think, Apple seems to rely too much on Face ID's AI. We just need a half face to create the mask. It was even simpler than we ourselves had thought."

Researchers explain that their "proof-of-concept" demo took about five days after they got iPhone X on November 5th. They also said the demo was performed against one of their team member's face without training iPhone X to recognize any components of the mask.

"We used a popular 3D printer. The nose was made by a handmade artist. We use 2D printing for other parts (similar to how we tricked Face Recognition 9 years ago). The skin was also hand-made to trick Apple's AI," the firm said.

The security firm said it cost the company around $150 for parts (which did not include a 3D printer), though it did not specify how many attempts its researchers took them to bypass the security of Apple's Face ID.

It should be noted that creating such a mask to unlock someone's iPhone is a time-consuming process and it is not possible to hack into a random person's iPhone.

However, if you prefer privacy and security over convenience, we highly recommend you to use a passcode instead of fingerprint or Face ID to unlock your phone.

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