Telecom | Breaking Cybersecurity News | The Hacker News

U.S. telecom service provider T-Mobile said it recently detected attempts made by bad actors to infiltrate its systems in recent weeks but noted that no sensitive data was accessed. These intrusion attempts "originated from a wireline provider's network that was connected to ours," Jeff Simon, chief security officer at T-Mobile, said in a statement. "We see no instances of prior attempts like this." The company further said its security defenses prevented the threat actors from disrupting its services or obtaining customer information. It has since confirmed that it cut off connectivity to the unnamed provider's network. It did not explicitly attribute the activity to any known threat actor or group, but noted that it has shared its findings with the U.S. government. Speaking to Bloomberg, Simon said the company observed the attackers running discovery-related commands on routers to probe the topography of the network, adding the attacks were containe...

Monitoring evolving DDoS trends is essential for anticipating threats and adapting defensive strategies. The comprehensive Gcore Radar Report for the first half of 2024 provides detailed insights into DDoS attack data, showcasing changes in attack patterns and the broader landscape of cyber threats. Here, we share a selection of findings from the full report. Key Takeaways The number of DDoS attacks in H1 2024 has increased by 46% compared to the same period last year, reaching 445K in Q2 2024. Compared to data for the previous six months (Q3–4 2023), it increased by 34%. Peak attack power increased slightly: The most powerful attack in H1 2024 reached 1.7 Tbps. By comparison, in 2023, it was 1.6 Tbps. Although there has only been an increase of 0.1 Tbps in a year, this still indicates a gain in power that poses a significant danger. To put this into perspective, a terabit per second (Tbps) represents a massive amount of data flooding a network, equivalent to over 212,000 high-d...

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...

A previously unknown Linux remote access trojan called Krasue has been observed targeting telecom companies in Thailand by threat actors to main covert access to victim networks at lease since 2021. Named after a  nocturnal female spirit  of Southeast Asian folklore, the malware is "able to conceal its own presence during the initialization phase," Group-IB  said  in a report shared with The Hacker News. The exact initial access vector used to deploy Krasue is currently not known, although it's suspected that it could be via vulnerability exploitation, credential brute-force attacks, or downloaded as part of a bogus software package or binary. The malware's core functionalities are realized through a rootkit that masquerades as an unsigned VMware driver and allows it to maintain persistence on the host without attracting any attention. The rootkit is derived from open-source projects such as Diamorphine, Suterusu, and Rooty. This has raised the possibility that...