Over time technologies evolved and now things that seemed to be not possible several years ago become the reality. Now you can order food, services, and basically anything you need online, and pay for it without leaving home. No surprise here, that cash payments are becoming a relic of the past. Along with wireless payments like Google or Apple pay (that still require assigning a banking account or card i.e. physical currency), the cryptocurrencies like Bitcoin are getting widely used.

Crypto trading and exchange apps have surged in recent years as a direct consequence of the exponential growth in the number and market capitalization of cryptocurrencies. With ever-growing press coverage and heightened visibility, the crypto ecosystem gets more and more crowded every second. This constant influx of players has clearly been beneficial, as the assets traded continue to grow.

The way we ‘data’ is about to change, and Splunk’s Connect for Ethereum (aka EthLogger) is helping organizations to adapt. Splunk Connect for Ethereum enables organizations of all sizes to investigate, monitor, analyze and act upon their rapidly growing blockchain data sets across multiple chains.

All the work presented in this blog post is open source and available as part of our Splunk Connect for Ethereum repository examples, including the instrumentation of Besu as a Docker container, the configuration of Splunk, and two applications showing how to monitor Besu syncing to the chain.

Identified as targeting cryptocurrency users through nefarious cross-platform applications, a remote access trojan (RAT) dubbed 'ElectroRAT' has recently been in the headlines following an investigation into the threat by researchers at Intezer.

With many financially-motivated threat actors targeting cryptocurrency, it comes as no surprise that users of 'Stellar', an opensource blockchain payment network, have recently been targeted in a somewhat convincing attack in an attempt to steal their holdings of Lumen (XLM), an 'altcoin' cryptocurrency.

In part two of this series, learn how to create a data model for the Bitcoin network protocol and use the Defensics SDK to perform fuzzing on bitcoind. In the previous article, you saw how to set up a test bed for bitcoind. We created two containers, fleur and viktor, and set up communication between the two bitcoind instances. In this article, learn how to create a data model for the Bitcoin network protocol, and then use this model in the Defensics® SDK to perform fuzzing on bitcoind.

This is the first part of a two-part advanced technical tutorial that describes how you can use the Defensics SDK to set up your own Bitcoin network. This is the first of two articles that describe how to use the Defensics® software development kit (SDK) to fuzz Bitcoin software. Specifically, you’ll learn how to model one of the Bitcoin network protocol messages and use the Defensics SDK to perform fuzzing on the bitcoind process.

European cryptocurrency exchange platform Eterbase has announced that it has suffered a security breach which saw malicious hackers access its network and steal funds worth US $5.4 million. In a message posted on Telegram, the Slovakian cryptocurrency exchange listed the six hot wallets plundered by cybercriminals for their Ether, Tezos, Bitcoin, ALGO, Ripple, and TRON riches.

The healthcare industry is transforming with the integration of ground-breaking technologies capable of storing patient records electronically. The shift to the digitization of systems makes a variety of healthcare solutions possible that never could have been imagined — but it also puts healthcare data at risk to hackers and cyber attacks. In answer to this problem, blockchain technologies are emerging as a viable option for the storage and updating of electronic health records (EHRs).