Tyupkin | Breaking Cybersecurity News | The Hacker News

A Romanian card skimmer arrested for being part of an international cybercrime group that used malware to plunder US$217,000 from ATMs has escaped from a Bucharest prison on Sunday morning (6th March). Renato Marius Tulli , 34, was being held at Police Precinct 19 in Bucharest, the capital of Romania, after being arrested together with 7 other suspects as part of a joint Europol, Eurojust, and DIICOT investigation on January 5, 2016. Tulli was part of a criminal gang specialized in robbing NCR-based ATMs. According to the federal authorities, the gang allegedly used a piece of malware, dubbed Tyupkin , to conduct what's known as Jackpotting attack and made Millions by infecting ATMs across Europe and beyond. Using Tyupkin malware, the criminals were able to empty cash from infected ATMs by issuing commands through the ATM's pin pad. Authorities announced on Monday that Tulli escaped with Grosy Gostel , 38, a man held for robbery charges, while both o...

Money is always a perfect motivation for cyber criminals who tries different tricks to solely target users with card skimmers that steal debit card numbers, but now the criminals are using specialized malware that targets ATM (Automated Teller Machine) systems to withdraw cash even without the need of a card. The new backdoor program, dubbed as " Tyupkin ," requires physical access to the ATM system running 32-bit Windows platforms and booting it off of a CD in order to install the malware. According to the researchers, the threat has continued to evolve in recent months, infecting ATMs in Asia, Europe, and Latin America. There are no details relating to the criminal gang behind the attacks, but they have already stolen "millions of dollars" from ATMs worldwide using the sophisticated malware, security firms Kaspersky and Interpol, who are working together in an attempt to foil the criminal gang, said in a joint statement released on Tuesday. " Over t...

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...