AI is swiftly becoming the foundational technology in areas as diverse as self-driving cars and financial trading. Self- learning algorithms are now routinely embedded in mobile and online services. Researchers have leveraged massive gains in processing power and the data streaming from digital devices and connected sensors to improve AI performance. And machines have essentially cracked speech and vision specifically and human communication generally. The implications are profound:

Because they know how to speak, read text, and absorb and retain encyclopedic knowledge, machines can interact with people intuitively and naturally on a wide range of topics at considerable depth.
Because they can identify objects and recognize optical patterns, machines can leave the virtual and join the real world.
A field that once disappointed its proponents is now striking remarkably close to home as it expands into activities commonly performed by humans. AI programs, for example, have diagnosed specific cancers more accurately than radiologists. No wonder that traditional companies in finance, retail, health care, and other industries have started to pour billions of dollars into the field.
Because AI systems think and interact, they are invariably compared to people. But while humans are fast at parallel processing (pattern recognition) and slow at sequential processing (logical reasoning), computers have mastered the former in narrow fields and are superfast in the latter. Just as submarines don’t swim, machines solve problems and accomplish tasks in their own way.

Without further quantum leaps in processing power, machines will not reach artificial general intelligence (AGI): the combination of vastly different types of problem-solving capabilities—the hallmark of human intelligence. Today’s robo-car, for example, doesn’t exhibit what we would consider common sense, such as abandoning an excursion to assist a child who has fallen off her bicycle. But when properly applied, AI excels at performing many business tasks quickly, intelligently, and thoroughly.

Artificial intelligence is no longer an elective. It is critical for companies to figure out how humans and computers can play off each other’s strengths as intertwined actors to create competitive advantage…

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Angelfire
31 August, 2017
Today, August 31st 2017, WikiLeaks publishes documents from the Angelfire project of the CIA. Angelfire is an implant comprised of five components: Solartime, Wolfcreek, Keystone (previously MagicWand), BadMFS, and the Windows Transitory File system. Like previously published CIA projects (Grasshopper and AfterMidnight) in the Vault7 series, it is a persistent framework that can load and execute custom implants on target computers running the Microsoft Windows operating system (XP or Win7).

Solartime modifies the partition boot sector so that when Windows loads boot time device drivers, it also loads and executes the Wolfcreek implant, that once executed, can load and run other Angelfire implants. According to the documents, the loading of additional implants creates memory leaks that can be possibly detected on infected machines.

Keystone is part of the Wolfcreek implant and responsible for starting malicious user applications. Loaded implants never touch the file system, so there is very little forensic evidence that the process was ever ran. It always disguises as “C:\Windows\system32\svchost.exe” and can thus be detected in the Windows task manager, if the operating system is installed on another partition or in a different path.

BadMFS is a library that implements a covert file system that is created at the end of the active partition (or in a file on disk in later versions). It is used to store all drivers and implants that Wolfcreek will start. All files are both encrypted and obfuscated to avoid string or PE header scanning. Some versions of BadMFS can be detected because the reference to the covert file system is stored in a file named “zf”.

The Windows Transitory File system is the new method of installing AngelFire. Rather than lay independent components on disk, the system allows an operator to create transitory files for specific actions including installation, adding files to AngelFire, removing files from AngelFire, etc. Transitory files are added to the ‘UserInstallApp’.

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This video is fair use under U.S. copyright law because it is non-commercial, transformative in nature, uses no more of the original work than necessary for the video’s purpose, and does not compete with the original work and could have no negative affect on its market.
Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for -fair use- for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use.