Florida teen arrested, charged with being “mastermind” of Twitter hack

Extreme close-up image of the Twitter logo on the screen of a smartphone.

Enlarge (credit score: Tom Raftery / Flickr)

A Florida teen has been arrested and charged with 30 felony counts associated to the high-profile hijacking of greater than 100 Twitter accounts earlier this month.

Federal regulation enforcement arrested Graham Ivan Clark, 17, in Tampa earlier at present, the Workplace of Hillsborough State Legal professional Andrew Warren mentioned. The arrest adopted an investigation spearheaded by the Federal Bureau of Investigation and the Justice Division.

“These crimes have been perpetrated utilizing the names of well-known folks and celebrities, however they are not the first victims right here,” mentioned Warren. “This ‘Bit-Con’ was designed to steal cash from common People from all around the nation, together with right here in Florida. This huge fraud was orchestrated proper right here in our yard, and we won’t stand for that.”

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DOJ: Chinese language hackers stole “lots of of tens of millions of {dollars}” of secrets and techniques

The Department of Justice seal as seen during a press conference in December 2019.

Enlarge / The Division of Justice seal as seen throughout a press convention in December 2019. (credit score: Samuel Corum | Getty Photos)

Two state-sponsored hackers in China focused US companies in a “subtle and prolific risk” for greater than 10 years, each for monetary achieve and to steal commerce secrets and techniques, the Division of Justice stated right now.

The 11-count indictment (PDF), which was made public right now, alleges Li Xiaoyu and Dong Jiazhi labored with China’s Ministry of State Safety (MSS) and different companies to hack into “lots of of sufferer corporations, governments, non-governmental organizations, and particular person dissidents, clergy, and democratic and human rights activists in america and overseas.”

Li and Dong have been allegedly infiltrating networks of companies in a big selection of sectors, together with “excessive tech manufacturing; civil, industrial, and medical gadget engineering; enterprise, academic, and gaming software program growth; photo voltaic vitality; and prescription drugs,” in addition to protection contractors, since no less than September 2009. In latest months, prosecutors allege, the 2 have been looking for methods in to “the networks of biotech and different companies publicly recognized for work on COVID-19 vaccines, therapies, and testing know-how” in no less than 11 nations, together with the US.

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This machine retains Alexa and different voice assistants from snooping on you

LeakyPick as it monitors a network that has an Amazon Echo connected.

Enlarge / LeakyPick because it displays a community that has an Amazon Echo linked. (credit score: Mitev, et al.)

As the recognition of Amazon Alexa and different voice assistants grows, so too does the variety of methods these assistants each do and may intrude on customers’ privateness. Examples embody hacks that use lasers to surreptitiously unlock connected-doors and begin automobiles, malicious assistant apps that eavesdrop and phish passwords, and discussions which might be surreptitiously and routinely monitored by supplier workers or are subpoenaed to be used in felony trials. Now, researchers have developed a tool that will someday enable customers to take again their privateness by warning when these gadgets are mistakenly or deliberately snooping on close by individuals.

LeakyPick is positioned in varied rooms of a house or workplace to detect the presence of gadgets that stream close by audio to the Web. By periodically emitting sounds and monitoring subsequent community site visitors (it may be configured to ship the sounds when customers are away), the ~$40 prototype detects the transmission of audio with 94-percent accuracy. The machine displays community site visitors and offers an alert at any time when the recognized gadgets are streaming ambient sounds.

LeakyPick additionally exams gadgets for wake phrase false positives, i.e., phrases that incorrectly activate the assistants. Thus far, the researchers’ machine has discovered 89 phrases that unexpectedly induced Alexa to stream audio to Amazon. Two weeks in the past, a unique group of researchers revealed greater than 1,000 phrases or phrases that produce false triggers that trigger the gadgets to ship audio to the cloud.

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