BuyUcoin Cryptocurrency User Data Allegedly Affecting Lakhs of People Leaked on the Dark Web – Gadgets 360

Banking and KYC information of lakhs of users of BuyUcoin, which trades bitcoin and other cryptocurrencies, has allegedly been leaked on the dark web. The details included the names, email addresses, mobile numbers, order information, and deposit history of users, according to a security researcher. The data dump available on the dark Web also appears to have bank details including bank names and account numbers, as well as know-your-customer (KYC) information that includes PAN and passport numbers of the people using BuyUcoin platform. The company has however denied the leak and said the surfaced data dump was of some dummy accounts.

Cybersecurity researcher Rajshekhar Rajaharia told Gadgets 360 that he found the data dump on the dark Web earlier this week. It included the details of more than three lakh BuyUcoin users, he said. The Delhi-NCR-based company claims to have over 3.5 lakh users in total.

The researcher said BuyUcoin appeared to have faced a data breach in September last year that resulted in the latest leak on the dark Web. Alongside user details, the data dump included a folder with admin credentials that could be used to access the server, he noted.

Rajaharia stated that the dump was posted on the dark Web by Shiny Hunters, the hacker group that allegedly leaked the data of BigBasket and JusPay in the recent past.

The leaked data could be used by bad actors to run fraudulent attacks against individuals, the researcher said. He also added that the data could also enable hackers to understand the credit score of the victims using transaction details.

BuyUcoin CEO and Co-founder Shivam Thakral denied the leak. We would like to reiterate the fact that only dummy data of 200 entries was impacted which was immediately recovered and secured by our automated security systems, he told Gadgets 360 over email.

However this might not be correct, as a person whose data was revealed in the data dump came forward to Gadgets 360 and said that their bank and KYC details were revealed.

What if a bad actor would use any of the leaked user accounts in any illegal crypto activity? asked Rajaharia while countering the company's rejection of the data leak. Who will be responsible in such a case? Crypto data leak may become a very serious issue as the data could be used in illegal activities in many ways in such cases. It's the company's responsibility to inform affected users and protect data instead of making any false claims.

Thakral however denied the leak again, and responded by saying that it was just a hoax to defame the company.

These people who reached out to journalists are friends of hackers, they are just showing our email IDs are there, he said. This doesn't make sense to me. But a part of the data dump, as seen by Gadgets 360, contained these details for a huge number of users, so it appears to be a real dump, and hopefully the company is investigating the matter.

Update, 5PM, Jan 22: In a mailed statementBuyUcoin noted: This incident remains an ongoing investigation. We will keep all the stakeholders updated about the proceedings and conduct a major cybersecurity overhaul throughout 2021 to upgrade platform security. You can see the full statement below.

No bitcoins or any other cryptocurrencies appear to have been stolen in the leak. However, in the past, there have been instances of cryptocurrency exchanges and wallets getting hacked and bitcoins being stolen.

In April 2020, a hacker exploited a security flaw in Bisq bitcoin exchange and stole more than $250,000 (roughly Rs. 1.82 crores) worth of cryptocurrency from users. Binance, one of the leading cryptocurrency exchange platforms, also saw a data breach in May 2019 in which hackers were able to steal over $40 million (roughly Rs. 290 crores).

Regarding the recent media reports, we are thoroughly investigating each and every aspect of the report about the malicious and unlawful cybercrime activities by foreign entities in mid-2020. Every BuyUcoin user with active portfolio has 3 factor authentication enabled trading accounts. All our user's portfolio assets are safe within a secure and encrypted environment. 95% of user's funds are kept in cold storage which are inaccessible to any server breach.

BuyUcoin platform has following features to ensure that customer account remains safe and secure from any kind of cyberattack:

1. Strong password and account OTP verification.

2. Google 2 Factor Authentication (enabled from security section under customer's profile)

3. Trading Pin (Under the security section, customers can enable trading pin a six-digit code for transaction verification)

4. Also, as an extra security step, every transaction requires an OTP from customer's email.

However, this incident remains an ongoing investigation. We will keep all the stakeholders updated about the proceedings and conduct a major cybersecurity overhaul throughout 2021 to upgrade platform security. BuyUcoin stands in solidarity with other companies who have faced such unlawful cyber-attacks recently. There is an urgent need to revise the current cybersecurity policy to counter such attacks. BuyUcoin is more than willing to work with industry peers and other relevant stakeholders to protect the financial technology ecosystem.

What will be the most exciting tech launch of 2021? We discussed this on Orbital, our weekly technology podcast, which you can subscribe to via Apple Podcasts, Google Podcasts, or RSS, download the episode, or just hit the play button below.

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BuyUcoin Cryptocurrency User Data Allegedly Affecting Lakhs of People Leaked on the Dark Web - Gadgets 360

Bitcoin: a cryptocurrency that isn’t – Verdict

Bitcoin is on everyones mind again, rising over fourfold in the last year by the time it reached its peak of $40,000. Its primary use has been a popular topic of discussion since it burst onto the scene. As the most well know cryptocurrency, bitcoin is often viewed as a medium of exchange, however, there is a strong argument that it is primarily a store of value. At the moment, investors are using it in the same way as they do with gold, namely, to hedge against inflation. This is likely to remain as it is fundamentally ill-equipped to function as a medium of exchange. Despite this, the speed and flexibility of transactions has driven a lot of innovation in the payments space. Read more about the underlying technology behind bitcoin in GlobalDatas upcoming Blockchain report.

Bitcoin was designed to mimic the natural scarcity of gold. The number of bitcoins generated per one block halves every 210,000 blocks or roughly every four years. By 2140, when we will hit 21 million bitcoins, the supply will be exhausted. More than 16 million bitcoins have been mined to date, meaning we have more than 75% of the entire supply of bitcoin already.

For bitcoin to succeed and to have the necessary network effects to become a viable alternative to fiat currencies, demand will have to increase significantly. It is likely that, provided bitcoin remains popular, its demand will consistently outgrow its supply. This is a massive hinderance as it means that bitcoin will be deflationary by nature. Demand would have to grow at a slow pace to match the growth of supply, and this slow uptake may destroy the very network effects that are necessary to foster a fiat currency.

The value of a fiat currency decreases over time as more is printed and it becomes less rare. A deflationary currency is inviable. It will mean that a bitcoin spent today would actually be worth more tomorrow. Therefore, users will be reluctant to spend bitcoin and would rather use a fiat currency to transact and keep bitcoin as a store of value. If the price never stopped rising, no one would ever want to get rid of their bitcoin unless they were pushed for liquidity. In this sense it shares similarities with gold, as Nakatomo intended, however gold is not a currency and rarely a medium of exchange. Also, a key difference is that gold retains some underlying physical value.

With no central bank to minimize systematic risk and to stabilise the exchange rate, it is unlikely that bitcoin will ever reach the volatility levels of fiat currencies. However, many of the key exchange-related advantages of bitcoins such as secured and instant payments, at low cost, are being adopted by other services. Bitcoin has helped to drive the surge in P2P transfer services, such as Venmo and Remitly, that offer lower fees and more convenience than older services such as WesternUnion.

Bitcoins deflationary nature means that its future will be as a store of value rather than as an alternative to fiat currencies. Despite this, it has inspired innovation in blockchain, the payments space, and even spurred countries to look into creating their own digital currencies such as Swedens E-Krona or Chinas Digital Yuan.

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The Artificial Intelligence opportunity in the global Financial Services sector – Finextra

When most of us think of AI, we imagine slick, intuitive designs, underpinned by quick, efficient systems all handed to you on a personalised plate. What many of us dont necessarily think of is hard, cold numbers. Odd really when data is the key foundation underpinning AI. Artificial intelligence is all about data or numbers, input into systems that are then analysed and summarised to provide a game-changing customer experience across all industries but particularly in finance.

Outside of blockchain, artificial intelligence has long been considered the holy grail for financial services. As an industry steeped in data, the pairing is already perfect, and the benefits are unmistakeable. Whether finance brands want to provide a top-level customer service chatbot or, on a more granular level, deliver financial services in line with ever increasing regulatory guidance, there isnt much that AI cant do to progress the finance industry.

Making AI a Success in Financial Services

Paradoxically, the financial services sector as a whole is being left behind with consumer-centric industries across the globe pulling ahead to expose a chasm between what customers want and the experience that they receive. At a time when the customer experience is heralded as the sacred vessel through which all things are possible for businesses, making a success of AI in finance is considered crucial.

The modern financial brands that are doing well today have one main thing in common they are dominated by technology. Challenger banks and contemporary financial businesses are disrupting the industrys standards and setting the pace for AI and data analytics. However, in their swift route to entry and with consistent software upgrades, there are still some nuanced implementations to bear in mind.

Near the top of that list is having an accurate understanding and knowledge of the data being used. There are many potential downfalls when inputting data and we have all heard of the horror stories around biometric profiling and the biases that can become apparent when digitising personal data. The same goes for consumer finances, so scrupulously computerising numbers will be fundamental to testing and training software to learn the value from data and unlock its true prophetic potential.

With that said, before we get to understand the data we must first get the infrastructure right. The lack of architecture designed from the ground up for AI-driven operations means that financial services may struggle to incorporate AI into their operationsat all. Legacy systems are notoriously difficult and expensive to upgrade. At a strategic level, banks are deciding whether to deploy a rip and replace or using an integrated approach to connect siloed systems. Nonetheless ultimately, at the core of any successful AI adoption are the right set of technology skills, well-defined data management and high-performance IT infrastructures.

The Logistics of Legacy

Perhaps the biggest challenge for financial services is that AI is anarchitectural innovationas well as a component innovation which is to say, its requirements extend beyond new technology and ideas, to include joining up old technology and ideas in a different way. Competent AI requires massive amounts of data: this is how it learns how things work, and how it predicts the way those things will behave in the future. For many businesses, introducing the systems to manage this data will mean implementing entirely new computing capacity, alongside innovations like internet of things monitoring, to gather the information required.

However, in financial services where information has always been the heart of business, there is the more complex problem of transforming existing systems to communicate effectively with AI. Legacy systems in finance have been developed over the course of decades and changing existing systems which are currently delivering value is a bigger, riskier job in a highly risk-averse industry than starting from scratch.

The Change is Coming

One option for operating with legacy systems in a digitalised, intelligent context is to develop an intelligent mesh, or Data Fabric, to bring together the richness of historical data to the user-friendly interface found in modern systems. The smart data layer can provide a bridge between existing and new infrastructure which has been designed to deliver the speed-to-value which todays financial services provider needs.

Essentially, significant architecture changes will expand the possibilities for this sector. The move to cloud computing, with its elastic response to demand that can handle the intensive computation that AI training requires without the capital expense involved in building that capacity in-house, is a key part of this. While in many ways financial services is a sector already at the leading edge of AI, the availability of architecture which is designed from the ground up for AI-driven operations means that much more change is on the horizon.

There arent many out there who can predict AIs true potential but what we do know, is that its ability to enhance productivity and efficiency through automation are currently unmatched but only if we can get the data fabric right.

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The Artificial Intelligence opportunity in the global Financial Services sector - Finextra

Many Artificial Intelligence Initiatives Included in the NDAA – RTInsights

The NDAA guidelines reestablish an artificial intelligence advisor to the president and push education initiatives to create a tech-savvy workforce.

Theres plenty of debate surrounding why the USAs current regulatory stance on artificial intelligence (AI) and cybersecurity remains fragmented. Regardless of your thoughts on the matter, the recently passed National Defense Authorization Act (NDAA) includes quite a few AI and cybersecurity driven initiatives for both the military and non-military entities.

Its common to attach provisions to bills whenCongress, the Senate, or both know the bill must pass by a certain time. TheNDAA is one such bill. It has a yearly deadline every year or the countrysmilitary completely loses funding leading to lawmakers using it to pass lawsthat dont always make it on their own. (This years bill was initially vetoed.But the veto was overridden on January 1.)

The bill contains 4,500 pages worth ofinformation. Along with a few different initiatives, one particular moveoutlines both the military and the governments new interest in artificialintelligence.

One of the biggest moves in the bill has to do with the newly created Joint AI Center (JAIC). It moves from the under the supervision of the DODs CIO to the deputy secretary of defense. It moves higher in the DOD hierarchy, possibly underscoring just how crucial new cybersecurity initiatives are to the Department of Defense.

To that end, the JAIC is the Department of Defenses (DoD) AI Center of Excellence that provides expertise to help the Department harness the game-changing power of AI. The mission of the JAIC is to transform the DoD by accelerating the delivery and adoption of artificial intelligence. The goal is to use AI to solve large and complex problem sets that span multiple services, then ensure the Services and Components have real-time access to ever-improving libraries of data sets and tools.

The center will also receive its own oversightboard matching other bill provisions dealing with AI ethics and will soonhave acquisition authority as well. The center will be creating reportsbiannually about its work and its integration with other notable agencies.

The secretary of defense will also investigatewhether the DoD can use AI ethically, both acquired and developed technologies.This will happen within 180 days of the bills passing, creating a pressingdeadline for handling ethics issues surrounding both new technologies and the often-controversialuse of military AI-use.

The DoD will receive a steering committee onemerging technology as well as new hiring guidelines for AI-technologists. Thedefense department will also take on five new AI-driven initiatives designed toimprove efficiency at the DoD.

The second massive provision in the bill is a large piece of cybersecurity legislation. The Cyberspace Solarium Commission worked on quite a few pieces of legislation that made it into the bills final version. The bill creates a White House cyber director position. It also gives the Cybersecurity and Infrastructure Security Agency (CISA) more authority for threat hunting.

It directs the executive branch to conductcontinuity of the economy planning to protect critical economicinfrastructure in the case of cyberattacks. It also establishes a joint cyberplanning office at CISA.

The Cybersecurity Security Model Certification(CMMC) will fall under the Government Accountability Office, and the governmentwill require regular briefings from the DoD on its progress. CMMC is thegovernments accreditation body, and this affects anyone in the defensecontract supply chain.

Entities outside the Department of Defensewill have new initiatives as well. The National AI Initiative hopes toreestablish the United States as a leading authority and provider of artificialintelligence. The initiative will coordinate research, development, anddeployment of new artificial intelligence programs among the DOD as well ascivilian agencies.

This coordination should help bring coherenceand consistency to research and development. In the past, critics have cited alack of realistic and workable regulations as a clear reason the United Stateshas fallen behind in AI development.

It will advise future presidents on the stateof AI within the country to increase competitiveness and leadership. Thecountry can expect more training initiatives and regular updates about thescience itself. It will lead and coordinate strategic partnerships andinternational collaboration with key allies and provide those opportunities tothe US economy.

AI bias is a huge concern among business and US citizens, so the National AI Initiative Advisory Committee will also create a subcommittee on AI and law enforcement. Its findings on data security, and legal standards could affect how businesses handle their own data security in the future.

The National Science Foundation will runawards, competitions, grants, and other incentives to develop trustworthy AI.The country is betting heavily on new initiatives to increase trust among USconsumers as AI becomes a more important part of our lives.

NIST will expand its mission to createframeworks and standards for AI adoption. NIST guidelines already offercompanies a framework for assessing cybersecurity. The updates will helpdevelop trustworthy AI and spell a pathway for AI adoption that consumers willtrust and embrace.

As countries scramble to first place in AIreadiness, these initiatives hope to fix some key gaps leading to the USslagging authority. The NDAA guidelines reestablish an AI-advisor to thepresident and push education initiatives to create a tech-savvy workforce.

It also helps create guidelines for businesses already frantically adopting AI-driven initiatives, providing critical guidance for cybersecurity and sustainability frameworks. Between training and NIST frameworks, businesses could see a new era of trustworthy and ethical AI the sort that creates real insights and efficiency while mitigating risk.

Other countries are investing heavily in AIdevelopment, so new and expanded provisions will help secure the United Statesplace as a world leader in AI. Governmental funding and collaboration withcivilian researchers and development teams is one way the US can remain trulycompetitive in new technology the presence of such a robust body ofAI-focused legislations suggests lawmakers are making this a priority.

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Many Artificial Intelligence Initiatives Included in the NDAA - RTInsights

BLOG: Artificial Intelligence for Clinical Decision Support and Increased Revenues – Imaging Technology News

The landscape at the Radiological Society of North Americas 2020 (RSNA20) conference was different for everyone this year attendees and exhibitors alike as we all grappled with the third wave of COVID-19. Through its virtual presence, Konica Minolta highlighted how their advancements in the artificial intelligence (AI) segment are transforming the practice of radiology in two specific areas: clinical decision support for imaging and increasing revenue through natural language understanding (NLU).

To further these efforts, Konica Minolta has partnered with 1QBit, an advanced and quantum computing software company with a strong focus on AI, based in Canada. 1QBit uses sophisticated techniques to tackle computationally intractable problems, and both companies share the same goal. Its really important to improve patient care with one goal, and that's with quality systems, said Kevin Borden, Vice President of HCIT Product at Konica Minolta Healthcare. To reach this goal, we partnered with 1QBit to provide an unmatched suite of tools to assist radiologists and radiology practices.

1QBit has a team of machine learning scientists, researchers and software developers who look at various industries with computationally difficult problems and identify where computing could help solve them. We have spent a fair amount of time and investment building our healthcare vertical. We have learned from working in different computing paradigms and distilled that learning to the classical world of computation where we build responsible solutions based on solid science, explained Deepak Kaura, M.D., who is the Chief Medical Officer of 1QBit, and also a practicing radiologist. The partnerships primary focus is on two specific areas: X-ray clinical decision support and NLU.

Konica Minoltas Exa Platform is unique in that it has a single database across all modules RIS, PACS and Billing. Within this integrated platform, the Exa system can incorporate various applications that provide tools and resources.

It's truly one application, and not separate databases, integrated together, Borden said. Its a complete platform with specialized viewing that includes 3-D mammo, echo stress and orthopedic toolsets.

This tight integration provides many partnership opportunities, the first being the technology that 1QBit has spent nearly three years developing called XrAI. XrAI is a decision support tool that uses machine learning to identify lung abnormalities and its algorithm works within the Konica Minolta Exa platform.

We see very few solutions out there that attempt to provide a comprehensive review of abnormality detection in the lungs and pleural spaces. These tools have not received regulatory approval yet, said Kaura. Weve trained our algorithm on about 500,000 different images and I think its important to recognize that the training dataset was really diverse. It was demographically diverse all these radiographs were taken using different X-ray machines across a variety of institutions in Canada. We then conducted a clinical trial and the first randomized control trial on the use of AI in the clinical space. The results of that trial were enlightening in that physicians who used XrAI demonstrated significantly improved detection of abnormalities on chest radiographs. We've submitted that for peer reviewed publication.

Kaura stressed the strength of the data gathered and the strength of the performance of the algorithm. As a result, they received Health Canada Class III Medical Device approval. It's the first time in Canadian history that any AI tool has received Class III Medical Device clearance, and now we've fully integrated into the workflows with Konica Minolta, he stated. At present, we're deploying across Canada and its very exciting to see a significant rollout of an imaging-based AI like this. As our partnership with Konica Minolta grows, we anticipate expansion of the solution within and beyond Canada.

One of the synergies that both companies agreed on from the first meeting was giving the radiologist the chance to actually make the diagnosis, while still allowing for adjustments. XrAI allows the radiologist to adjust the threshold of what he or she might deem a finding versus AI actually telling the clinician that this is a positive finding with no threshold, explained Borden. I think that's very important, and what we've done here in terms of the algorithm is one of the first we've seen rightly so, we put the decision in the hands of the radiologists.

Kaura agreed, adding that most physicians who use the technology would recommend it to their colleagues and institutions, based on the above and the performance of the algorithm. Providing user-controlled transparency is a significant step towards engendering trust in clinical AI. We are confident that this empowerment of the radiologist will create the standard for displaying AI outputs in the future. Konica Minoltas single, tight interface of RIS/PACS lends itself perfectly to this unique approach, said Kaura.

Another area Konica Minolta and 1QBit are advancing is Natural Language Understanding (NLU) and how it relates to managing patient follow-up care. NLU represents the next evolution of Natural Language Processing (NLP). Historically, and before NLU, NLP worked by identifying words that were close together to determine conclusions about their meaning. NLPs negation algorithms relied on words that were in close proximity to the diagnosis term to accurately determine a positive or negative result. For example, in the phrase no pleural effusions, the NLP negation algorithm recognized the proximity of the word no to pleural effusions and interpreted accordingly.

This is a challenge, however, when analyzing long or compound sentences, where the negation terms are not in close proximity to the diagnosis terms. For example, in the phrase No consolidation, pulmonary edema or pleural effusions, NLP may not accurately interpret this to mean there are no pleural effusions, because the negating term no is more than three words away from pleural effusions.

In comparison, NLU uses a neural net-based model to actually understand the context of the entire conversation. The 1QBit NLU engine works to understand the full report, produce an overall result, and generate action items based on all information.

We are able to take a look at a radiology report and ask the question, Does this patient display any pulmonary abnormalities? and because the natural language understanding model actually understands the entire report, it then produces a result that says no, Kaura said.

This NLU technology can already be used to help identify and automate patient follow-ups that may be recommended in a radiology report. As a radiologist dictates a report, the NLU engine can take the plain text, process it, identify any necessary patient follow-ups, and then generate a structured schedule order that is sent to the Exa Platform for processing. The order can include the type of appointment, the body part, the time frame and the modality.

The natural language understanding model understands what things might be relevant to follow-up, Kaura said. Even if someone says a CT scan is recommended, it recognizes that that represents follow-up. There are a number of variants on how physicians and clinicians express what follow-up means, and our understanding models actually figure out what that is.

You can view Konica Minoltas AI solutions and more in their Virtual World at kmhealthcarevirtual.com.

Editor's note: This blog is the third in a series from Konica Minolta on technical innovation. The next blog will feature the power of the next generation of RIS. The first, BLOG: Zero-footprint Viewer with Server-side Rendering Pushes Imaging Forward During Pandemic, can be read here. The second, BLOG: Exa Gateway Offers a New Way to Deliver Teleradiology, can be read here.

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BLOG: Artificial Intelligence for Clinical Decision Support and Increased Revenues - Imaging Technology News

2021 Will Bring AI, Social Determinants of Health into Focus – HealthITAnalytics.com

January 22, 2021 -After a turbulent, momentous year, many rang in 2021 eager for a fresh start. In healthcare, however, some things will remain the same: namely, the significance of artificial intelligence and social determinants of health data.

Listen to thefull podcastto hear more details. And dont forget to subscribe oniTunes,Spotify, orGoogle Podcasts.

In a recent episode, Healthcare Strategies analyzed these trends and other major expectations for 2021.

Throughout the pandemic, organizations leveraged AI and data analytics tools to track disease spread and assess patient risk. The crisis pushed academic institutions, health systems, and vendors to develop and refine their AI and machine learning capabilities, setting the stage for even more advanced technologies in 2021.

So far in the new year, researchers have used AI to predict the likelihood of prostate cancer recurrence, assess tumor genetics, and analyze patient brain scans. As the year goes on, the industry will likely see organizations use data analytics tools to enhance day-to-day operations, as well as visibility to keep up with the demand for virtual care.

Social determinants of health data will also play a critical role in the healthcare industry in 2021. While this information is typically difficult to access and share, COVID-19 made social determinants data a crucial asset for organizations seeking to target interventions and get ahead of poor outcomes.

Collaborations between health systems and community organizations became more widespread, a trend that will likely continue into 2021.

The heightened emphasis on social determinants of health during the pandemic has also led researchers to examine the non-clinical factors that impact patient health. A team from Michigan Medicine recently discovered that racial disparities in cancer and COVID-19 outcomes stem from very similar factors, a finding that could inform public health policies.

The similarities between COVID-19 issues and cancer disparities are uncanny,saidJohn M. Carethers, MD, John G. Searle Professor and Chair of Internal Medicine at Michigan Medicine.

In cancer we are seeing in slow motion what has been observed rapidly with COVID that the same conditions in our society put specific groups at risk for both. If we can fundamentally change socioeconomic inequality, we theoretically could reduce disparities in both diseases.

If 2020 forced healthcare to take a hard look at what needs improvement, 2021 will be a reflection of the progress the industry has made and how far it still has to go.

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Donald Trump expected to pardon Lil Wayne but Julian Assange, Steve Bannon may miss out – New Zealand Herald

Rapper Lil Wayne is expected to be one of up to 100 people to receive last-minute commutations or pardons before US President Donald Trump leaves office this week, but WikiLeaks founder Julian Assange is likely to miss out.

Multiple US media outlets have reported that Trump is preparing an expansive list to be released on Tuesday or possibly even Wednesday (US time) the morning of Joe Biden's inauguration but that the President has opted not to take the extraordinary step of issuing a pardon for himself or any members of his family.

Fox News reports a White House meeting was held on Sunday afternoon to finalise the growing list, with rapper Lil Wayne (real name Dwayne Carter) making the cut but former Trump adviser Steve Bannon being described as "TBD" (to be decided).

Lil Wayne, who supported Trump for re-election, pleaded guilty last year to illegally possessing a gold-plated handgun while travelling to Florida in a private jet in 2019, which was not allowed due to a prior felony conviction. His bag also contained cocaine, ecstasy and oxycodone.

Bannon, who was booted from the White House in 2017, was charged last year with defrauding donors to a crowd-funding campaign to build a wall between the US and Mexico. The wire fraud and money laundering charges each carry a maximum of 20 years in prison.

He pleaded not guilty was released on a $US5 million ($7m) bond ahead of a May 2021 trial date. Trump has repeatedly distanced himself from the project, tweeting last year that it was "not my wall", but adding: "Totally unrelated, but I think Steve will be just fine."

And despite an aggressive campaign by WikiLeaks, Fox News reports Trump is unlikely to grant a pardon to its Australian founder. Julian Assange is currently in the UK fighting US attempts to extradite him to face espionage charges, which carry a maximum of 175 years in prison.

A British court earlier this month blocked the extradition after a judge found Assange's mental health was so fragile he posed a suicide risk if he was sent overseas. The US is appealing the decision.

According to the New York Post, it also remains unclear whether Trump will issue a pardon for mass surveillance whistleblower Edward Snowden, who has been living in Russia ever since leaking troves of data on the National Security Agency's highly secretive spying programmes.

The President last year told the newspaper he was "very strongly" looking at the possibility of a pardon for Snowden, despite describing him in a 2014 tweet as a "traitor and a disgrace". The issue is said to be a source of fierce disagreement among Trump's inner circle.

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The New York Post reports that among the lesser-known people expected to receive clemency are several people serving long prison sentences under Biden's 1994 crime bill, which critics of the president-elect have said unfairly punished African-Americans for drug-related offences.

At least two men serving life in prison for dealing marijuana under the law's three-strikes provisions Corvain Cooper and Michael Pelletier have previously asked Trump to release them.

It comes after a report in The New York Times claimed a number of Trump's allies were collecting huge amounts of money for access to the President from people seeking pardons, with one ex-CIA officer jailed in 2012 allegedly told by an associate of Rudy Giuliani that a presidential pardon was "going to cost $US2m ($2.8m)".

The President has already used his final days in office to issue scores of pardons to his closest allies, including several people caught up in Special Counsel Robert Mueller's three-year investigation into Russian interference in the 2016 election, which ultimately found no evidence of collusion between members of the Trump campaign and the Russian government.

Last month he pardoned former campaign chairman Paul Manafort, who was facing seven-and-a-half years in jail after being convicted of unrelated financial crimes including tax evasion and money laundering.

Roger Stone, a long-time Trump ally who had already received a commutation of his prison sentence for lying to Congress, was also granted a pardon, along with former campaign adviser George Papadopoulos and lawyer Alex van der Zwaan both of whom the White House said had been charged with "process-related" crimes by the Mueller investigation.

That came after Trump pardoned his former national security adviser Mike Flynn, who was also charged by the Mueller probe with lying to the FBI about his contacts with the Russian ambassador during the 2016 transition.

The Department of Justice had been attempting to drop its prosecution of General Flynn since May last year after an independent review ordered by Attorney-General Bill Barr uncovered prosecutorial misconduct.

Also among the recent controversial pardons have been several former Republican Congressmen facing prison sentences for fraud and other charges, and four former private security contractors who were convicted in connection with the massacre of 17 Iraqi civilians in Nisour Square, Baghdad, in 2007.

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Donald Trump expected to pardon Lil Wayne but Julian Assange, Steve Bannon may miss out - New Zealand Herald

Op-Ed: Its Trumps last chance to declassify these secrets of the Russia collusion dud – The Center Square

President Trumps last days in office offer a final opportunity to declassify critical information on the Russia investigation that engulfed his lone term.

Voluminous public records including investigative reports from Special Counsel Robert Mueller, Congress and the Justice Departments inspector general have established that Trump and his associates were targeted with a baseless Russian collusion allegation. The fraudulent claim originated with the Hillary Clinton campaign, was fueled by a torrent of false or deceptive intelligence leaks, and was improperly investigated by the FBI, potentially to the point of being criminal. Despite these disclosures, key questions remain about the origins and the spread of the conspiracy theory.

Before he leaves office on Jan. 20, Trump could use his declassification authority to help clear up some critical issues of the Russiagate saga.

A version of this piece initially appeared Jan. 10 at RealClearInvestigations.com

The FBI says it opened its Trump-Russia investigation on July 31, 2016 after learning of a potential offer of Russian assistance to junior Trump campaign volunteer George Papadopoulos. It later emerged that the offer came from a Maltese academic named Joseph Mifsud, whom U.S. officials have suggested was acting as a Russian cutout.

Muellers team depicted Mifsud as having extensive contacts with Russia. Yet Mifsuds closest public ties had been to Western governments, politicians, and institutions, including the CIA, FBI, and British intelligence services. Despite Mifsuds central role in the investigation, the FBI conducted only one brief interview with him in February 2017. The Mueller team later claimed that Mifsud gave false statements to FBI agents yet, conspicuously, did not indict him for lying. The FBIs notes on the interview show that Mifsud denied having any advance knowledge of Russian hacking.

Why didnt the FBI grill Mifsud about his sources, methods and contacts? What other efforts, if any, were made to surveil him?

A highly placed Kremlin mole was the main source of the core claim in CIA Director John Brennans hastily produced 2017 Intelligence Community Assessment (ICA) that Russian President Vladimir Putin intervened in the 2016 election to help defeat Clinton and support Trump.

The ICAs claim was widely portrayed as the consensus view of U.S. spy agencies, but in reality it was the conclusion drawn by a small group of CIA analysts, closely managed by then-Director Brennan. Paul Sperry of RealClearInvestigations revealed that Brennan overruled two senior analysts who disagreed with it.

Multiple outlets have already outed the mole, Oleg Smolenkov, and the circumstances of his exit from Russia in June 2017. This supposed betrayer of the Kremlins secrets was found to be living under his own name in a Virginia suburb.

After the FBIs collusion probe got underway in July 2016, it purportedly did not rely on the Steele dossier, a series of opposition-research memos prepared by former British intelligence officer Christopher Steele. In his testimony to Congress in July 2019, Mueller claimed that the dossier was outside my purview.

Yet the FBI did extensively rely on the Steele dossier, most egregiously to obtain a surveillance warrant on Trump campaign volunteer Carter Page.

There may be more evidence, as suggested in recently declassified documents, that the Steele material played a bigger role in the Mueller investigation than previously known. Further declassification could shed additional light on whether Muellers disavowal of Steele aligns with the conduct of his investigators.

In June 2016, CrowdStrike, a private company, accused Russian government hackers of infiltrating the Democratic National Committees servers. This assessment was presented as direct evidence of Russian interference in the presidential election and was later endorsed by the FBI and Muellers team.

CrowdStrikes highly consequential allegation has been contradicted by subsequent disclosures. Like Steele, CrowdStrike was a Democratic Party contractor whose version of events dovetailed with the Clintons campaigns apparent desire to muddy Trump with Russia connections. In a stunning admission, U.S. prosecutors told a court in June 2019 that CrowdStrike had submitted reports of a forensic analysis of its servers to the government in draft, redacted form.

The Crowdstrike reports would indicate whether the FBI and Muellers team were on solid ground in asserting Russia hacked the DNC and stole its emails.

Given the importance of the hacking allegation, and if its evidence is non-classified, why shouldnt Trump direct the U.S. intelligence community to release all of it?

The January 2017 ICA assessed with high confidence that a Russian intelligence agency, the GRU, used the Guccifer 2.0 persona to release the stolen DNC files. In its July 2018 indictment of GRU officers, the Mueller team also strongly suggested that Guccifer transferred the stolen DNC emails to WikiLeaks.

The special counsels final report, issued in March 2019, quietly acknowledged that it cannot rule out that stolen documents were transferred to WikiLeaks through intermediaries an admission that it has no hard evidence that Guccifer 2.0 was WikiLeaks source. It does not identify who those intermediaries might have been. Also missing from Muellers account is the evidence used to identify Guccifer 2.0 as a Russian intelligence front.

The Russia investigation remains a bitterly partisan issue, but its worth remembering that in November 2016, Clinton campaign chair John Podesta called on the U.S. government to declassify information around Russias roles in the election and to make this data available to the public. His purposes were different, of course. Nonetheless, disclosing such information now would give Americans a fair understanding of an unprecedented investigation into a sitting president as well as the conduct of the intelligence officials who it carried out.

This article was adapted from RealClearInvestigations.

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Op-Ed: Its Trumps last chance to declassify these secrets of the Russia collusion dud - The Center Square

Biden Should End Espionage Act Prosecutions of Whistleblowers and Journalists – The Intercept

Before Donald Trump began his run for president, there was a war against journalism in the United States. President George W. Bush used the Espionage Act and sought to jail reporters who refused to give up their sources, not to mentionkillingjournalists in war zones. When President Barack Obama, a constitutional law scholar, came to power, he did so claiming that he and Joe Biden would represent the most transparent administration in history. But then reality set in. During his eight years in power, Obamas Justice Department used the Espionage Act against whistleblowers more than all of Obamas predecessors combined. They continued the Bush Justice Departments war on journalists, includingthreatening to jail then-New York Times reporter James Risen if he did not testify against his alleged source.

Despite its prosecutions of whistleblowers, Obamas administration understood that use of the Espionage Act was controversial and widely denounced by press freedom organizations. Attorney General Eric Holder sought to implement some guardrails against spying on journalists, though the administration maintained it had the right to do so in some circumstances. Still, Obama commuted whistleblower Chelsea Mannings draconian 35-year prison sentence. During Trumps tenure Manning was jailed again for nearly a year for refusing to testify in front of a Grand Jury. Obamasadministration also declined to indict WikiLeaks founder Julian Assange and at least one other alleged whistleblower accused of leaking documents about the drone assassination program. Trumps administration dug both cases out and moved forward with espionage prosecutions, which remain active.

Cyclists pass a truck with a protest sign reading #FreeSpeech with pictures of Chelsea Manning, left, and WikiLeaks founder Julian Assange, right, in Washington, D.C., on April 16, 2019.

Photo: Brendan Smialowski/AFP via Getty Images

Trump came to power following a political campaign in which he attacked the free press, adopted fascist slogans to denounce reporters, and denied that basic facts were true. Trump harbored a Nixonian hatred of the press and lived in constant fear of leaks, particularly about his personal finances.

In a clear effort to send chills through the government and as a warning to any would-be whistleblowers, Trumps Justice Department went on a rampage using the Espionage Act. Its first major prosecution was against a National Security Agency contractor named Reality Winner. The Justice Department accused Winner of leakingtoa news outlet an NSA documentthat showed Russian efforts to penetrate software used in some U.S. voting systems in 2016. Othernews organizations have stated that the outlet was The Intercept.Winner accepted a plea agreement to one count of felony transmission of national defense information and was sentenced to five years, the longest prison term of any whistleblower convicted under the Espionage Act. It was an unconscionable act by a vindictive administration.

The Trump Justice Department weaponized its indictment of Winner in an effort to smear The Intercept and to encourage the media to focus on other journalists rather than the contents of the NSA document in question or the unjust use of the Espionage Act. Unfortunately, many publications took the bait and played into Trumps malignant anti-press crusade.

When indictments of whistleblowers happen and FBI investigations are launched, journalists should scrutinize and confront the actions of intelligence and law enforcement agencies and assess what these attacks mean for the freedom of the press. Instead, so many media outlets seemed to want to aid the Trump administration in making this about what journalists did or did not do making the publication the target, instead of focusing on the secrets that whistleblowers exposed or the dangerous weaponizing of the Espionage Act by both Democratic and Republican presidents.

I believe that The Intercept made serious errors in its editorial process on theRussia story, and I advocated both publicly and internally for The Intercept to explain exactly what happened. I believe that some of these mistakes were preventable. At the same time, there were serious legal concerns that anything The Intercept said in public could be used against Winner and other sources, and our attorneys implored The Intercepts editors to say nothing. I understood the legal logic. Our editor-in-chief ended up making a statement acknowledging that we had failed to live up to our standards and taking responsibility for the institutionalfailure.

This was a complicated situation, and I believe the facts make clear that Winner would likely have been arrested regardless of any mistakes made by The Intercept. She was one of just six people in the entire U.S. national security apparatus to print the document in question and the only one to use a government computer to send emails (which were unrelated to the Russia story) to The Intercept. That doesnt absolve The Intercept, but it is an important part of this story that is seldom mentioned. And we all know the Trump administration prioritized punishing leakers and was willing to use the full force of the state to do so. It was disturbing that the overwhelming focus of the reporting on Winner bysome media outlets was not on the contents of the document she allegedly revealed or that the Trump administration was wielding the Espionage Act like a weapon in order to threaten any would-be whistleblowers. The lead prosecutor made the outrageous statement that Winner was the quintessential example of an insider threat. The Intercept deserved criticism and scrutiny, but the problem was that it often came at the expense of holding the chief villains of the story accountable.

Joe Biden speaks with the press before departing Charlotte, N.C., on Sept. 23, 2020.

Photo: Jim Watson/AFP via Getty Images

President Joe Biden has an opportunity to right some of these wrongs. He should publicly commit to ending the use of the Espionage Act against whistleblowers. Congress could also amend or repeal the act so that it cannot be used for such purposes. Biden should also take actions to end the persecution of Assange and return to the Obama-era position that Assange should not be prosecuted by the United States. We thought it was a dangerous precedent to prosecute Assange for something that reporters do all the time,saidMatthew Miller, an Obama Justice Department spokesperson. The Espionage Act doesnt make any distinction between journalists and others, so if you can apply it to Assange, theres no real reason you couldnt apply it to [the New York Times]. Biden should immediately pardon Winner and secure her release from a coronavirus-infested prison. He also should drop the case against former intelligence contractor and war veteran Daniel Hale, who is facing trial under the Espionage Act for allegedly leaking documents on the U.S. drone and assassination programs.

We have just seen the end of a dangerous administrationthat openly waged war against journalism. For four years, the president of the United States used the Justice Department as his personal law firm and a political cudgel against his perceived enemies, including the press. Even if Biden doesnt agree with the principles I am advocating, he could declare these Espionage Act indictments to be the toxic fruit of the poisonous and discredited Trump Justice Department. And media outlets should remember the next time a whistleblower is arrested that the most important task for journalists is to hold those in power to account rather than allow themselves to be used in a government distraction campaign.

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Biden Should End Espionage Act Prosecutions of Whistleblowers and Journalists - The Intercept

Steve Bannon, Rudy Giuliani and Lil Wayne. Who is, and isn’t, in line for a pardon from Donald Trump – SBS News

A controversial star of a Netflix documentary and a rapper are among the high-profile names in line for a last-minute presidential pardon before Donald Trump leaves the White House.

Before Christmas, Mr Trump issued a number of controversial pardons and he is set to do so again.

The outgoing president is widely expected to use his final full day in office to issue approximately 100 presidential pardons andcommutations.

Joe Exotic, star of the Netflix documentary series Tiger King is one of the more controversial pardons believed to be on the cards.

The 57-year-old, whose real name isJoseph Maldonado-Passage, is serving a 22 year jail sentence for plotting to kill his rival Carole Baskin, as well as several counts of animal abuse charges.

FILE - In this Aug. 28, 2013, file photo, Joseph Maldonado-Passage, also known as Joe Exotic, is seen at the zoo he used to run in Wynnewood, Okla.

AP

A stretch limo was seen outside the Fort Worth Prison in Texas on Wednesday, where he is serving his sentence.

Rapper Lil Wayne is also in line for a presidential pardon, according to The New York Times.

The rapper, whose real name isDwayne Michael Carter Jr, pleaded guilty last month to possession of a gold-plated handgun in Miami and is facing up to 10 years in prison.

He is a known supporter of Mr Trump and has previously tweeted out his support and met with the outgoing president.

A number of high-profile figures are reportedly set to miss out on a pardon.

These include Mr Trump's personal lawyer Rudy Giuliani, who has not been charged with any crime but could receive a pre-emptive pardon ahead of expected legal difficulties.

Mr Trump's former White House Strategist Steve Bannon will likely miss out, despite facing charges of defrauding donors to Mr Trump's "Build the Wall" campaign. He has pleaded not guilty to the charges.

There has also been intense lobbying from supporters of Wikileaks founder Julian Assange for Mr Trump to grant him clemency in his finals days in office.

Mr Assange is facing extradition to the United States to face charges of espionage and conspiring to hack US government computers.

Despite praising Wikileaks during his 2016 campaign for their release of emails damaging to his Democratic then-rival Hillary Clinton, Mr Trump is not expected to grant Mr Assange a pardon.

WikiLeaks founder Julian Assange

AAP

There have also been calls from those directly charged over the 6 January Capitol Hill riots for Mr Trump to grant them pardons.

The president hasn't given any indication that he plans to pardon the rioters, who face a range of charges, including violent entry into a restricted building and disorderly conduct.

With legal and financial woes waiting for him outside of the Oval Office, there are questions that Mr Trump could attempt to pardon himself.

Legal and constitutional experts are split about whether the President even has the power, but Mr Trump has previously stated that he believes he does.

Many scholars have said a self-pardon would be unconstitutional because it violates the basic principle that nobody should be the judge in their own case.

Mr Trump is facing several financial and sexual harassment lawsuits and may also end up in legal trouble over the incitement of rioters just prior to the Capitol Hill attack.

However, US media widely reported on Wednesday that Mr Trump wasn't planning on pardoning himself as it would be seen as an admission of guilt for crimes he believes he hasn't committed.

Likewise, Mr Trump is not planning on granting pardons to any of his children, or his son-in-law Jared Kushner.

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Steve Bannon, Rudy Giuliani and Lil Wayne. Who is, and isn't, in line for a pardon from Donald Trump - SBS News