Raccoon | Breaking Cybersecurity News | The Hacker News

A "large and resilient infrastructure" comprising over 250 domains is being used to distribute information-stealing malware such as  Raccoon  and  Vidar  since early 2020. The infection chain "uses about a hundred of fake cracked software catalogue websites that redirect to several links before downloading the payload hosted on file share platforms, such as GitHub," cybersecurity firm SEKOIA  said  in an analysis published earlier this month. The French cybersecurity company assessed the domains to be operated by a threat actor running a traffic direction system ( TDS ), which allows other cybercriminals to rent the service to distribute their malware. The attacks target users searching for cracked versions of software and games on search engines like Google, surfacing fraudulent websites on top by leveraging a technique called search engine optimization (SEO) poisoning to lure victims into downloading and executing the malicious payloads. The poisone...

Raccoon Stealer is back on the news again. US officials arrested Mark Sokolovsky, one of the malware actors behind this program. In July 2022, after several months of the shutdown, a Raccoon Stealer V2 went viral. Last week, the Department of Justice's press release stated that the malware collected 50 million credentials. This article will give a quick guide to the latest info stealer's version. What is Raccoon infostealer V2? Raccoon Stealer  is a kind of malware that steals various data from an infected computer. It's quite a basic malware, but hackers have made Raccoon popular with excellent service and simple navigation.  In 2019, Raccoon infostealer was one of the most discussed malware. In exchange for $75 per week and $200 per month, cybercriminals sold this simple but versatile info stealer as a MaaS. The malware was successful in attacking a number of systems. In March 2022, however, threat authors ceased to operate.  An updated version of this malware was...

As SaaS providers race to integrate AI into their product offerings to stay competitive and relevant, a new challenge has emerged in the world of AI: shadow AI.  Shadow AI refers to the unauthorized use of AI tools and copilots at organizations. For example, a developer using ChatGPT to assist with writing code, a salesperson downloading an AI-powered meeting transcription tool, or a customer support person using Agentic AI to automate tasks – without going through the proper channels. When these tools are used without IT or the Security team's knowledge, they often lack sufficient security controls, putting company data at risk. Shadow AI Detection Challenges Because shadow AI tools often embed themselves in approved business applications via AI assistants, copilots, and agents they are even more tricky to discover than traditional shadow IT. While traditional shadow apps can be identified through network monitoring methodologies that scan for unauthorized connections based on...