RedLine Stealer | Breaking Cybersecurity News | The Hacker News

A popular open-source game engine called Godot Engine is being misused as part of a new GodLoader malware campaign, infecting over 17,000 systems since at least June 2024. "Cybercriminals have been taking advantage of Godot Engine to execute crafted GDScript code which triggers malicious commands and delivers malware," Check Point said in a new analysis published Wednesday. "The technique remains undetected by almost all antivirus engines in VirusTotal." It's no surprise that threat actors are constantly on the lookout for new tools and techniques that can help them deliver malware while sidestepping detection by security controls, even as defenders continue to erect new guardrails. The newest addition is Godot Engine , a game development platform that allows users to design 2D and 3D games across platforms , including Windows, macOS, Linux, Android, iOS, PlayStation, Xbox, Nintendo Switch, and the web. The multi-platform support also makes it an attrac...

A new information stealer has been found leveraging Lua bytecode for added stealth and sophistication, findings from McAfee Labs reveal. The cybersecurity firm has assessed it to be a variant of a known malware called RedLine Stealer owing to the fact that the command-and-control (C2) server  IP address  has been previously identified as associated with the malware. RedLine Stealer,  first documented  in March 2020, is typically delivered via email and malvertising campaigns, either directly or via  exploit kits  and loader malware like  dotRunpeX  and  HijackLoader . The off-the-shelf malware is capable of harvesting information from cryptocurrency wallets, VPN software, and web browsers, such as saved credentials, autocomplete data, credit card information, and geolocations based on the victims' IP addresses. Over the years, RedLine Stealer has been co-opted by several threat actors into their attack chains, making it a prevalent strai...

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...

The LodaRAT malware has resurfaced with new variants that are being deployed in conjunction with other sophisticated malware, such as RedLine Stealer and Neshta. "The ease of access to its source code makes LodaRAT an attractive tool for any threat actor who is interested in its capabilities," Cisco Talos researcher Chris Neal  said  in a write-up published Thursday. Aside from being dropped alongside other malware families, LodaRAT has also been observed being delivered through a previously unknown variant of another commodity trojan called  Venom RAT , which has been codenamed S500. An AutoIT-based malware, LodaRAT (aka  Nymeria ) is attributed to a group called Kasablanca and is capable of harvesting sensitive information from compromised machines. In February 2021, an  Android version  of the malware sprang forth as a way for the threat actors to expand their attack surface. Then in September 2022, Zscaler ThreatLabz uncovered a new delivery mecha...