Tag Archives: kali

Airbash – Fully Automated WPA PSK Handshake Capture Script

Post Syndicated from Darknet original https://www.darknet.org.uk/2018/05/airbash-fully-automated-wpa-psk-handshake-capture-script/?utm_source=rss&utm_medium=social&utm_campaign=darknetfeed

Airbash – Fully Automated WPA PSK Handshake Capture Script

Airbash is a POSIX-compliant, fully automated WPA PSK handshake capture script aimed at penetration testing. It is compatible with Bash and Android Shell (tested on Kali Linux and Cyanogenmod 10.2) and uses aircrack-ng to scan for clients that are currently connected to access points (AP).

Those clients are then deauthenticated in order to capture the handshake when attempting to reconnect to the AP. Verification of a captured handshake is done using aircrack-ng.

Read the rest of Airbash – Fully Automated WPA PSK Handshake Capture Script now! Only available at Darknet.

Yuki Chan – Automated Penetration Testing Tool

Post Syndicated from Darknet original https://www.darknet.org.uk/2017/10/yuki-chan-automated-penetration-testing-tool/?utm_source=rss&utm_medium=social&utm_campaign=darknetfeed

Yuki Chan – Automated Penetration Testing Tool

Yuki Chan is an Automated Penetration Testing Tool that carries out a whole range of standard security auditing tasks automatically. It’s highly recommended to use this tool within Kali Linux OS as it already contains all the dependencies.

This tool is only designed for Linux OS so if you are not using Linux OS it won’t be much use, but if you have Android Smartphone or Tablet you can run this tool via Termux or GNURoot Debian.

Read the rest of Yuki Chan – Automated Penetration Testing Tool now! Only available at Darknet.

AWS Hot Startups – August 2017

Post Syndicated from Tina Barr original https://aws.amazon.com/blogs/aws/aws-hot-startups-august-2017/

There’s no doubt about it – Artificial Intelligence is changing the world and how it operates. Across industries, organizations from startups to Fortune 500s are embracing AI to develop new products, services, and opportunities that are more efficient and accessible for their consumers. From driverless cars to better preventative healthcare to smart home devices, AI is driving innovation at a fast rate and will continue to play a more important role in our everyday lives.

This month we’d like to highlight startups using AI solutions to help companies grow. We are pleased to feature:

  • SignalBox – a simple and accessible deep learning platform to help businesses get started with AI.
  • Valossa – an AI video recognition platform for the media and entertainment industry.
  • Kaliber – innovative applications for businesses using facial recognition, deep learning, and big data.

SignalBox (UK)

In 2016, SignalBox founder Alain Richardt was hearing the same comments being made by developers, data scientists, and business leaders. They wanted to get into deep learning but didn’t know where to start. Alain saw an opportunity to commodify and apply deep learning by providing a platform that does the heavy lifting with an easy-to-use web interface, blueprints for common tasks, and just a single-click to productize the models. With SignalBox, companies can start building deep learning models with no coding at all – they just select a data set, choose a network architecture, and go. SignalBox also offers step-by-step tutorials, tips and tricks from industry experts, and consulting services for customers that want an end-to-end AI solution.

SignalBox offers a variety of solutions that are being used across many industries for energy modeling, fraud detection, customer segmentation, insurance risk modeling, inventory prediction, real estate prediction, and more. Existing data science teams are using SignalBox to accelerate their innovation cycle. One innovative UK startup, Energi Mine, recently worked with SignalBox to develop deep networks that predict anomalous energy consumption patterns and do time series predictions on energy usage for businesses with hundreds of sites.

SignalBox uses a variety of AWS services including Amazon EC2, Amazon VPC, Amazon Elastic Block Store, and Amazon S3. The ability to rapidly provision EC2 GPU instances has been a critical factor in their success – both in terms of keeping their operational expenses low, as well as speed to market. The Amazon API Gateway has allowed for operational automation, giving SignalBox the ability to control its infrastructure.

To learn more about SignalBox, visit here.

Valossa (Finland)

As students at the University of Oulu in Finland, the Valossa founders spent years doing research in the computer science and AI labs. During that time, the team witnessed how the world was moving beyond text, with video playing a greater role in day-to-day communication. This spawned an idea to use technology to automatically understand what an audience is viewing and share that information with a global network of content producers. Since 2015, Valossa has been building next generation AI applications to benefit the media and entertainment industry and is moving beyond the capabilities of traditional visual recognition systems.

Valossa’s AI is capable of analyzing any video stream. The AI studies a vast array of data within videos and converts that information into descriptive tags, categories, and overviews automatically. Basically, it sees, hears, and understands videos like a human does. The Valossa AI can detect people, visual and auditory concepts, key speech elements, and labels explicit content to make moderating and filtering content simpler. Valossa’s solutions are designed to provide value for the content production workflow, from media asset management to end-user applications for content discovery. AI-annotated content allows online viewers to jump directly to their favorite scenes or search specific topics and actors within a video.

Valossa leverages AWS to deliver the industry’s first complete AI video recognition platform. Using Amazon EC2 GPU instances, Valossa can easily scale their computation capacity based on customer activity. High-volume video processing with GPU instances provides the necessary speed for time-sensitive workflows. The geo-located Availability Zones in EC2 allow Valossa to bring resources close to their customers to minimize network delays. Valossa also uses Amazon S3 for video ingestion and to provide end-user video analytics, which makes managing and accessing media data easy and highly scalable.

To see how Valossa works, check out www.WhatIsMyMovie.com or enable the Alexa Skill, Valossa Movie Finder. To try the Valossa AI, sign up for free at www.valossa.com.

Kaliber (San Francisco, CA)

Serial entrepreneurs Ray Rahman and Risto Haukioja founded Kaliber in 2016. The pair had previously worked in startups building smart cities and online privacy tools, and teamed up to bring AI to the workplace and change the hospitality industry. Our world is designed to appeal to our senses – stores and warehouses have clearly marked aisles, products are colorfully packaged, and we use these designs to differentiate one thing from another. We tell each other apart by our faces, and previously that was something only humans could measure or act upon. Kaliber is using facial recognition, deep learning, and big data to create solutions for business use. Markets and companies that aren’t typically associated with cutting-edge technology will be able to use their existing camera infrastructure in a whole new way, making them more efficient and better able to serve their customers.

Computer video processing is rapidly expanding, and Kaliber believes that video recognition will extend to far more than security cameras and robots. Using the clients’ network of in-house cameras, Kaliber’s platform extracts key data points and maps them to actionable insights using their machine learning (ML) algorithm. Dashboards connect users to the client’s BI tools via the Kaliber enterprise APIs, and managers can view these analytics to improve their real-world processes, taking immediate corrective action with real-time alerts. Kaliber’s Real Metrics are aimed at combining the power of image recognition with ML to ultimately provide a more meaningful experience for all.

Kaliber uses many AWS services, including Amazon Rekognition, Amazon Kinesis, AWS Lambda, Amazon EC2 GPU instances, and Amazon S3. These services have been instrumental in helping Kaliber meet the needs of enterprise customers in record time.

Learn more about Kaliber here.

Thanks for reading and we’ll see you next month!

-Tina

 

jSQL – Automatic SQL Injection Tool In Java

Post Syndicated from Darknet original http://feedproxy.google.com/~r/darknethackers/~3/vEsd_Exo0S0/

jSQL is an automatic SQL Injection tool written in Java, it’s lightweight and supports 23 kinds of database. It is free, open source and cross-platform (Windows, Linux, Mac OS X) and is easily available in Kali, Pentest Box, Parrot Security OS, ArchStrike or BlackArch Linux. Features Automatic injection of 23 kinds of databases: Access CockroachDB…

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Burner laptops for DEF CON

Post Syndicated from Robert Graham original http://blog.erratasec.com/2017/07/burner-laptops-for-def-con.html

Hacker summer camp (Defcon, Blackhat, BSidesLV) is upon us, so I thought I’d write up some quick notes about bringing a “burner” laptop. Chrome is your best choice in terms of security, but I need Windows/Linux tools, so I got a Windows laptop.

I chose the Asus e200ha for $199 from Amazon with free (and fast) shipping. There are similar notebooks with roughly the same hardware and price from other manufacturers (HP, Dell, etc.), so I’m not sure how this compares against those other ones. However, it fits my needs as a “burner” laptop, namely:

  • cheap
  • lasts 10 hours easily on battery
  • weighs 2.2 pounds (1 kilogram)
  • 11.6 inch and thin

Some other specs are:

  • 4 gigs of RAM
  • 32 gigs of eMMC flash memory
  • quad core 1.44 GHz Intel Atom CPU
  • Windows 10
  • free Microsoft Office 365 for one year
  • good, large keyboard
  • good, large touchpad
  • USB 3.0
  • microSD
  • WiFi ac
  • no fans, completely silent

There are compromises, of course.

  • The Atom CPU is slow, thought it’s only noticeable when churning through heavy webpages. Adblocking addons or Brave are a necessity. Most things are usably fast, such as using Microsoft Word.
  • Crappy sound and video, though VLC does a fine job playing movies with headphones on the airplane. Using in bright sunlight will be difficult.
  • micro-HDMI, keep in mind if intending to do presos from it, you’ll need an HDMI adapter
  • It has limited storage, 32gigs in theory, about half that usable.
  • Does special Windows 10 compressed install that you can’t actually upgrade without a completely new install. It doesn’t have the latest Windows 10 Creators update. I lost a gig thinking I could compress system files.

Copying files across the 802.11ac WiFi to the disk was quite fast, several hundred megabits-per-second. The eMMC isn’t as fast as an SSD, but its a lot faster than typical SD card speeds.

The first thing I did once I got the notebook was to install the free VeraCrypt full disk encryption. The CPU has AES acceleration, so it’s fast. There is a problem with the keyboard driver during boot that makes it really hard to enter long passwords — you have to carefully type one key at a time to prevent extra keystrokes from being entered.

You can’t really install Linux on this computer, but you can use virtual machines. I installed VirtualBox and downloaded the Kali VM. I had some problems attaching USB devices to the VM. First of all, VirtualBox requires a separate downloaded extension to get USB working. Second, it conflicts with USBpcap that I installed for Wireshark.

It comes with one year of free Office 365. Obviously, Microsoft is hoping to hook the user into a longer term commitment, but in practice next year at this time I’d get another burner $200 laptop rather than spend $99 on extending the Office 365 license.

Let’s talk about the CPU. It’s Intel’s “Atom” processor, not their mainstream (Core i3 etc.) processor. Even though it has roughly the same GHz as the processor in a 11inch MacBook Air and twice the cores, it’s noticeably and painfully slower. This is especially noticeable on ad-heavy web pages, while other things seem to work just fine. It has hardware acceleration for most video formats, though I had trouble getting Netflix to work.

The tradeoff for a slow CPU is phenomenal battery life. It seems to last forever on battery. It’s really pretty cool.

Conclusion

A Chromebook is likely more secure, but for my needs, this $200 is perfect.

Sn1per – Penetration Testing Automation Scanner

Post Syndicated from Darknet original http://feedproxy.google.com/~r/darknethackers/~3/7u7rGmLhYJc/

Sn1per is a penetration testing automation scanner that can be used during a penetration test to enumerate and scan for vulnerabilities. Features Automatically collects basic recon (ie. whois, ping, DNS, etc.) Automatically launches Google hacking queries against a target domain Automatically enumerates open ports via NMap port scanning…

Read the full post at darknet.org.uk