DeepDotWeb | Breaking Cybersecurity News | The Hacker News

An Israeli national was sentenced to 97 months in prison in connection with operating the DeepDotWeb ( DDW ) clearnet website, nearly a year after the individual pleaded guilty to the charges. Tal Prihar, 37, an Israeli citizen residing in Brazil, is said to have played the role of an administrator of DDW since the website became functional in October 2013. He  pleaded guilty  to money laundering charges in March 2021 and agreed to forfeit the illegally amassed profits. DDW, until its seizure in May 2019, ostensibly  served  as a "news" website that connected internet users with underground marketplaces on the dark web that operate via darknets such as Tor, enabling the purchase of illegal firearms, malware and hacking tools, stolen financial data, heroin, fentanyl, and other illicit materials. Prihar, acting in cohorts with co-defendant Michael Phan, 34, of Israel, provided direct links to illegal marketplaces and in return for advertising these links, reaped s...

The U.S. Department of Justice (DoJ) on Wednesday said that an Israeli national pleaded guilty for his role as an "administrator" of a portal called DeepDotWeb ( DDW ), a "news" website that "served as a gateway to numerous dark web marketplaces." According to the unsealed court documents, Tal Prihar , 37, an Israeli citizen residing in Brazil, operated DDW alongside Michael Phan , 34, of Israel, starting October 2013, in return for which they received kickbacks from the operators of the marketplaces in the form of virtual currency amounting to 8,155 bitcoins (worth $8.4 million at the time of the transactions). In an attempt to conceal the illicit payments, Prihar is said to have transferred the money to other bitcoin accounts and to bank accounts under his control in the name of shell companies. "Tal Prihar served as a broker for illegal Darknet marketplaces — helping such marketplaces find customers for fentanyl, firearms, and other dangerous...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...