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Bubble bazinga hack
Bubble bazinga hack








bubble bazinga hack

Why was 2018 such a big year for crypto failures? More than half of them were abandoned by investors, but 237 coins were revealed as scams or embroiled in other controversies, such as BitConnect which turned out to be a Ponzi scheme. Comparatively, 22% ended up being scam coins, and 10% failed to launch after an ICO.Īs for individual years, 2018 saw the largest total of annual casualties in the crypto market, with 751 dead crypto coins. Here’s a breakdown of how many crypto coins died each year by reason: Dead CoinsĪbandoned coins with flatlining trading volume accounted for 1,584 or 66.5% of analyzed crypto failures over the last decade. While many familiar crypto coins-Litecoin, Dogecoin, and Ethereum-are still on the market today, there were at least 2,383 crypto coins that bit the dust between 20. Scams or coins that were meant as a joke.Abandonment with less than $1,000 in trade volume over a three-month period.The reason for each coin death was also tabulated, including: This analysis reviewed data from failed crypto coins listed on Coinopsy and cross-referenced against CoinMarketCap to verify previous market activity. What is the marker of a “dead” crypto coin? The data covers a decade of coin busts from 2013 through 2022. These graphics from CoinKickoff break down the number of failed crypto coins by the year they died, and the year they started. The Number of Failed Crypto Coins, by Year (2013-2022)Įver since the first major crypto boom in 2011, tens of thousands of cryptocurrency coins have been released to market.Īnd while some cryptocurrencies performed well, others have ceased to trade or have ended up as failed or abandoned projects. This looks to be even more cause for concern than the rapidly rising volume of records that have been exposed, whether intentionally or by accident. The fact that more and more of our data is being stored “in the cloud” and among devices on the Internet of Things means that increasingly sensitive types of data are now more vulnerable than ever to being hacked. While having your email address become the target for spam exploitation is a serious annoyance, the hacking of much more sensitive personal data has quickly become the norm. Much of the data lost in the River City hack was made up of long lists of consumer email addresses to be used for spam email distribution, while the other hacks listed compromised items like account passwords, banking information, addresses, phone numbers, or health records. The River City leak – represented by the larger blue dot below – is surpassed in severity by hacks at Yahoo, at web design platform Weebly, and even at adult video provider Brazzers. However, sorting by data sensitivity paints a different picture. For example, the accidental 2016 leak of information from spam/email marketing service River City Media stands out at an alarming 1.37 billion records lost. The problems caused by hacks, leaks and other data breaches are not just ones of scale. However, it was eclipsed in size shortly thereafter by malicious hacks at Yahoo in 20 that compromised over 1.5 billion records, and now larger hacks are increasingly becoming the norm. For example, an “inside job” breach at data broker Court Ventures was once one of the world’s largest single losses of records at 200 million. Increasingly sophisticated hacking has altered the scale of data loss by orders of magnitude. Since then, the volume of malicious hacking (shown in purple) has exploded relative to other forms of data loss. Each bubble represents the number of records lost in any given breach, with the most sensitive data clustered toward the right side.īefore 2009, the majority of data breaches were the fault of human errors like misplaced hard drives and stolen laptops, or the efforts of “inside men” looking to make a profit by selling data to the highest bidder.

bubble bazinga hack

The graphic above shows a timeline of some of the biggest data breaches on record. Go to their site to see the highly-recommended interactive format that visualizes the same data, while providing additional details on each specific hack. This data visualization comes to us from Information is Beautiful. Tracking Hacking: The World’s Biggest Data Breaches










Bubble bazinga hack