stock exchange Hacker | Breaking Cybersecurity News | The Hacker News

Security Researcher from Group-IB ( Group-IB is one of the leading companies in global cybercrime prevention and hi-tech crime investigations )   has found a new kind of malware   that targets the Russian stock-trading platform QUIK. It was detected during several targeted attacks starting in November 2012 where  Cyber criminals have traditionally targeted private and corporate banking accounts, using malware (such as variants of the ZeuS  cyber-crime  toolkit ) to log key-strokes and extract account information. In the last year, Group-IB has received several incoming incident fraud requests on some famous online trading and stock brokerages where systems were possibly hacked and recently trading fraudsters have diversified tactics and begun to use malware. Group-IB has detected the first professional malware, targeted at a specialized trading software named QUIK (Quik Broker, Quik Dealer) from Russian software developers ARQA Technolo...

Tse Man- lai,  28-year-old businessman, owner of an information technology company, launched denial-of-service (DoS) attacks on Hong Kong stock exchange last year on August 12 and 13 , was sentenced to nine months in jail on Friday. According to SCMP , Tse Man- lai, who had pleaded not guilty to two counts of obtaining access to a computer with criminal or dishonest intent, was convicted of both counts in the District Court on October 24.  The attacked website is one of the most important economic platform of Hong Kong. Trading in the shares of seven companies was suspended. The seven companies, which included HSBC, Cathay Pacific Airways and HKEx itself, had a combined market value of HK$1.5 trillion. Trading was also halted on a debt security and 419 warrants and derivatives linked to the suspended stocks. Trading in the stocks were suspended, as the companies had tried to make price-sensitive announcements during the lunchtime trading break, which investor...

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...