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e are excited to announce that the Mozilla Corporation has completed the acquisition of Read It Later, Inc. the developers of Pocket. Mozilla is growing, experimenting more, and doubling down on our mission to keep the internet healthy, as a global public resource that’s open and accessible to all. As our first strategic acquisition, Pocket contributes to our strategy by growing our mobile presence and providing people everywhere with powerful tools to discover and access high quality web content, on their terms, independent of platform or content silo. Pocket will join Mozilla’s product portfolio as a new product line alongside the Firefox web browsers with a focus on promoting the discovery and accessibility of high quality web content. (Here’s a link to their blog post on the acquisition).  Pocket’s core team and technology will also accelerate Mozilla’s broader Context Graph initiative.

“We believe that the discovery and accessibility of high quality web content is key to keeping the internet healthy by fighting against the rising tide of centralization and walled gardens. Pocket provides people with the tools they need to engage with and share content on their own terms, independent of hardware platform or content silo, for a safer, more empowered and independent online experience.” – Chris Beard, Mozilla CEO Pocket brings to Mozilla a successful human-powered content recommendation system with 10 million unique monthly active users on iOS, Android and the Web, and with more than 3 billion pieces of content saved to date. In working closely with Pocket over the last year around the integration within Firefox, we developed a shared vision and belief in the opportunity to do more together that has led to Pocket joining Mozilla today. “We’ve really enjoyed partnering with Mozilla over the past year. We look forward to working more closely together to support the ongoing growth of Pocket and to create great new products that people love in support of our shared mission.” – Nate Weiner, Pocket CEO As a result of this strategic acquisition, Pocket will become a wholly owned subsidiary of Mozilla Corporation and will become part of the Mozilla open source project.

Comcast is being forced to pay the largest fine the FCC has ever levied against a cable operator. Its offense: Charging customers for services and equipment they didn't ask for. The company agreed to pay a $2.3 million civil penalty and to submit to a "compliance plan," in which regulators will monitor Comcast for the next five years to ensure it cleans up its act.

The FCC said it received over 1,000 complaints from customers, who said Comcast charged them for premium channels, cable boxes, DVRs or other products that they never ordered. In many cases, the FCC said, customers expressly told Comcast that they didn't want the add-on options, but they were charged anyway. Complaints also describe how customers spent "significant time and energy to attempt to remove the unauthorized charges" and get refunds, the commission said. The complaints spurred the FCC to launch an investigation nearly two years ago. Today's settlement marks the conclusion of the probe. Under the five-year compliance plan, Comcast must begin sending customers special notifications every time a new charge or service is added to their bill. The company also has to add a way for customers to easily "block the addition of new services or equipment to their accounts," according to an FCC press release.

Comcast (CMCSA) will also be required to compensate or address complaints from customers who have disputed charges, and it will be barred from referring an account to collections or suspending an account that has a disputed charge. Comcast agreed to the fine without admitting any guilt.

J.J. King on September 14, 2016 C: 3 News Bits Today we bring you the next episode of the Steal This Show podcast, discussing the latest file-sharing and copyright trends and news. In this episode we talk to returning guest Holmes Wilson, co-founder of Fight For The Future.

Harris Corp.’s Stingray surveillance device has been one of the most closely guarded secrets in law enforcement for more than 15 years. The company and its police clients across the United States have fought to keep information about the mobile phone-monitoring boxes from the public against which they are used. The Intercept has obtained several Harris instruction manuals spanning roughly 200 pages and meticulously detailing how to create a cellular surveillance dragnet. Harris has fought to keep its surveillance equipment, which carries price tags in the low six figures, hidden from both privacy activists and the general public, arguing that information about the gear could help criminals. Accordingly, an older Stingray manual released under the Freedom of Information Act to news website TheBlot.com last year was almost completely redacted. So too have law enforcement agencies at every level, across the country, evaded almost all attempts to learn how and why these extremely powerful tools are being used — though court battles have made it clear Stingrays are often deployed without any warrant. The San Bernardino Sheriff’s Department alone has snooped via Stingray, sans warrant, over 300 times.

The documents described and linked below, instruction manuals for the software used by Stingray operators, were provided to The Intercept as part of a larger cache believed to have originated with the Florida Department of Law Enforcement. Two of them contain a “distribution warning” saying they contain “Proprietary Information and the release of this document and the information contained herein is prohibited to the fullest extent allowable by law.”  Although “Stingray” has become a catch-all name for devices of its kind, often referred to as “IMSI catchers,” the manuals include instructions for a range of other Harris surveillance boxes, including the Hailstorm, ArrowHead, AmberJack, and KingFish. They make clear the capability of those devices and the Stingray II to spy on cellphones by, at minimum, tracking their connection to the simulated tower, information about their location, and certain “over the air” electronic messages sent to and from them. Wessler added that parts of the manuals make specific reference to permanently storing this data, something that American law enforcement has denied doing in the past.

One piece of Windows software used to control Harris’s spy boxes, software that appears to be sold under the name “Gemini,” allows police to track phones across 2G, 3G, and LTE networks. Another Harris app, “iDen Controller,” provides a litany of fine-grained options for tracking phones. A law enforcement agent using these pieces of software along with Harris hardware could not only track a large number of phones as they moved throughout a city but could also apply nicknames to certain phones to keep track of them in the future. The manual describing how to operate iDEN, the lengthiest document of the four at 156 pages, uses an example of a target (called a “subscriber”) tagged alternately as Green Boy and Green Ben:

1. Executive Summary Ahmed Mansoor is an internationally recognized human rights defender, based in the United Arab Emirates (UAE), and recipient of the Martin Ennals Award (sometimes referred to as a “Nobel Prize for human rights”).  On August 10 and 11, 2016, Mansoor received SMS text messages on his iPhone promising “new secrets” about detainees tortured in UAE jails if he clicked on an included link. Instead of clicking, Mansoor sent the messages to Citizen Lab researchers.  We recognized the links as belonging to an exploit infrastructure connected to NSO Group, an Israel-based “cyber war” company that sells Pegasus, a government-exclusive “lawful intercept” spyware product.  NSO Group is reportedly owned by an American venture capital firm, Francisco Partners Management. The ensuing investigation, a collaboration between researchers from Citizen Lab and from Lookout Security, determined that the links led to a chain of zero-day exploits (“zero-days”) that would have remotely jailbroken Mansoor’s stock iPhone 6 and installed sophisticated spyware.  We are calling this exploit chain Trident.  Once infected, Mansoor’s phone would have become a digital spy in his pocket, capable of employing his iPhone’s camera and microphone to snoop on activity in the vicinity of the device, recording his WhatsApp and Viber calls, logging messages sent in mobile chat apps, and tracking his movements.   We are not aware of any previous instance of an iPhone remote jailbreak used in the wild as part of a targeted attack campaign, making this a rare find.

The Trident Exploit Chain: CVE-2016-4657: Visiting a maliciously crafted website may lead to arbitrary code execution CVE-2016-4655: An application may be able to disclose kernel memory CVE-2016-4656: An application may be able to execute arbitrary code with kernel privileges Once we confirmed the presence of what appeared to be iOS zero-days, Citizen Lab and Lookout quickly initiated a responsible disclosure process by notifying Apple and sharing our findings. Apple responded promptly, and notified us that they would be addressing the vulnerabilities. We are releasing this report to coincide with the availability of the iOS 9.3.5 patch, which blocks the Trident exploit chain by closing the vulnerabilities that NSO Group appears to have exploited and sold to remotely compromise iPhones. Recent Citizen Lab research has shown that many state-sponsored spyware campaigns against civil society groups and human rights defenders use “just enough” technical sophistication, coupled with carefully planned deception. This case demonstrates that not all threats follow this pattern.  The iPhone has a well-deserved reputation for security.  As the iPhone platform is tightly controlled by Apple, technically sophisticated exploits are often required to enable the remote installation and operation of iPhone monitoring tools. These exploits are rare and expensive. Firms that specialize in acquiring zero-days often pay handsomely for iPhone exploits.  One such firm, Zerodium, acquired an exploit chain similar to the Trident for one million dollars in November 2015. The high cost of iPhone zero-days, the apparent use of NSO Group’s government-exclusive Pegasus product, and prior known targeting of Mansoor by the UAE government provide indicators that point to the UAE government as the likely operator behind the targeting. Remarkably, this case marks the third commercial “lawful intercept” spyware suite employed in attempts to compromise Mansoor.  In 2011, he was targeted with FinFisher’s FinSpy spyware, and in 2012 he was targeted with Hacking Team’s Remote Control System.  Both Hacking Team and FinFisher have been the object of several years of revelations highlighting the misuse of spyware to compromise civil society groups, journalists, and human rights workers.

Disaster stories involving the Internet of Things are all the rage. They feature cars (both driven and driverless), the power grid, dams, and tunnel ventilation systems. A particularly vivid and realistic one, near-future fiction published last month in New York Magazine, described a cyberattack on New York that involved hacking of cars, the water system, hospitals, elevators, and the power grid. In these stories, thousands of people die. Chaos ensues. While some of these scenarios overhype the mass destruction, the individual risks are all real. And traditional computer and network security isn’t prepared to deal with them.Classic information security is a triad: confidentiality, integrity, and availability. You’ll see it called “CIA,” which admittedly is confusing in the context of national security. But basically, the three things I can do with your data are steal it (confidentiality), modify it (integrity), or prevent you from getting it (availability).

So far, internet threats have largely been about confidentiality. These can be expensive; one survey estimated that data breaches cost an average of $3.8 million each. They can be embarrassing, as in the theft of celebrity photos from Apple’s iCloud in 2014 or the Ashley Madison breach in 2015. They can be damaging, as when the government of North Korea stole tens of thousands of internal documents from Sony or when hackers stole data about 83 million customer accounts from JPMorgan Chase, both in 2014. They can even affect national security, as in the case of the Office of Personnel Management data breach by—presumptively—China in 2015. On the Internet of Things, integrity and availability threats are much worse than confidentiality threats. It’s one thing if your smart door lock can be eavesdropped upon to know who is home. It’s another thing entirely if it can be hacked to allow a burglar to open the door—or prevent you from opening your door. A hacker who can deny you control of your car, or take over control, is much more dangerous than one who can eavesdrop on your conversations or track your car’s location. With the advent of the Internet of Things and cyber-physical systems in general, we've given the internet hands and feet: the ability to directly affect the physical world. What used to be attacks against data and information have become attacks against flesh, steel, and concrete. Today’s threats include hackers crashing airplanes by hacking into computer networks, and remotely disabling cars, either when they’re turned off and parked or while they’re speeding down the highway. We’re worried about manipulated counts from electronic voting machines, frozen water pipes through hacked thermostats, and remote murder through hacked medical devices. The possibilities are pretty literally endless. The Internet of Things will allow for attacks we can’t even imagine.

On the 21st floor of a high-rise hotel in Cleveland, in a room full of political operatives, Microsoft’s Research Division was advertising a technology that could read each facial expression in a massive crowd, analyze the emotions, and report back in real time. “You could use this at a Trump rally,” a sales representative told me. At both the Republican and Democratic conventions, Microsoft sponsored event spaces for the news outlet Politico. Politico, in turn, hosted a series of Microsoft-sponsored discussions about the use of data technology in political campaigns. And throughout Politico’s spaces in both Philadelphia and Cleveland, Microsoft advertised an array of products from “Microsoft Cognitive Services,” its artificial intelligence and cloud computing division. At one exhibit, titled “Realtime Crowd Insights,” a small camera scanned the room, while a monitor displayed the captured image. Every five seconds, a new image would appear with data annotated for each face — an assigned serial number, gender, estimated age, and any emotions detected in the facial expression. When I approached, the machine labeled me “b2ff” and correctly identified me as a 23-year-old male.

“Realtime Crowd Insights” is an Application Programming Interface (API), or a software tool that connects web applications to Microsoft’s cloud computing services. Through Microsoft’s emotional analysis API — a component of Realtime Crowd Insights — applications send an image to Microsoft’s servers. Microsoft’s servers then analyze the faces and return emotional profiles for each one. In a November blog post, Microsoft said that the emotional analysis could detect “anger, contempt, fear, disgust, happiness, neutral, sadness or surprise.” Microsoft’s sales representatives told me that political campaigns could use the technology to measure the emotional impact of different talking points — and political scientists could use it to study crowd response at rallies.

Facial recognition technology — the identification of faces by name — is already widely used in secret by law enforcement, sports stadiums, retail stores, and even churches, despite being of questionable legality. As early as 2002, facial recognition technology was used at the Super Bowl to cross-reference the 100,000 attendees to a database of the faces of known criminals. The technology is controversial enough that in 2013, Google tried to ban the use of facial recognition apps in its Google glass system. But “Realtime Crowd Insights” is not true facial recognition — it could not identify me by name, only as “b2ff.” It did, however, store enough data on each face that it could continuously identify it with the same serial number, even hours later. The display demonstrated that capability by distinguishing between the number of total faces it had seen, and the number of unique serial numbers. Photo: Alex Emmons