Forensic Analysis | Breaking Cybersecurity News | The Hacker News

A forensic analysis of a graph dataset containing transactions on the Bitcoin blockchain has revealed clusters associated with illicit activity and money laundering, including detecting criminal proceeds sent to a crypto exchange and previously unknown wallets belonging to a Russian darknet market. The  findings  come from Elliptic in collaboration with researchers from the MIT-IBM Watson AI Lab. The 26 GB dataset, dubbed  Elliptic2 , is a "large graph dataset containing 122K labeled subgraphs of Bitcoin clusters within a background graph consisting of 49M node clusters and 196M edge transactions," the co-authors  said  in a paper shared with The Hacker News. Elliptic2 builds on the  Elliptic Data Set  (aka Elliptic1), a transaction graph that was made public in July 2019 with the goal of  combating financial crime  using graph convolutional neural networks ( GCNs ). The idea, in a nutshell, is to uncover u...

Cybersecurity researchers have identified a "lightweight method" called  iShutdown  for reliably identifying signs of spyware on Apple iOS devices, including notorious threats like NSO Group's  Pegasus , QuaDream's  Reign , and Intellexa's  Predator .  Kaspersky, which analyzed a set of iPhones that were compromised with Pegasus, said the infections left traces in a file named "Shutdown.log," a text-based system log file available on all iOS devices and which records every reboot event alongside its environment characteristics. "Compared to more time-consuming acquisition methods like forensic device imaging or a full iOS backup, retrieving the Shutdown.log file is rather straightforward," security researcher Maher Yamout  said . "The log file is stored in a sysdiagnose (sysdiag) archive." The Russian cybersecurity firm said it identified entries in the log file that recorded instances where "sticky" processes, such as ...

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What do basketball teams, government agencies, and car manufacturers have in common? Each one has been breached, having confidential, proprietary, or private information stolen and exposed by insiders. In each case, the motivations and methods varied, but the risk remained the same: insiders have access to too much data with too few controls. Insider threats  continue to prove difficult for organizations to combat because — unlike an outsider — insiders can navigate sensitive data undetected and typically without suspicion. Cybersecurity is not the first industry to tackle insider threats, however. Espionage has a long history of facing and defending against insiders by using the "CIA Triad" principles of confidentiality, integrity, and availability. Varonis' modern cybersecurity answer to insider risk is the data security triad of "sensitivity, access, and activity." Using these three dimensions of data security, you can help reduce the risk and impact of an insider attack. ...