TeamTNT | Breaking Cybersecurity News | The Hacker News

As many as 196 hosts have been infected as part of an aggressive cloud campaign mounted by the TeamTNT group called  Silentbob . "The botnet run by TeamTNT has set its sights on Docker and Kubernetes environments, Redis servers, Postgres databases, Hadoop clusters, Tomcat and Nginx servers, Weave Scope, SSH, and Jupyter applications," Aqua security researchers Ofek Itach and Assaf Morag  said  in a report shared with The Hacker News. "The focus this time seems to be more on infecting systems and testing the botnet, rather than deploying cryptominers for profit." The development arrives a week after the cloud security company  detailed  an intrusion set linked to the TeamTNT group that targets exposed JupyterLab and Docker APIs to deploy the Tsunami malware and hijack system resources to run a cryptocurrency miner. The latest findings suggest a broader campaign and the use of a larger attack infrastructure than previously thought, including various shell sc...

The cryptojacking group known as  TeamTNT  is suspected to be behind a previously undiscovered strain of malware used to mine Monero cryptocurrency on compromised systems. That's according to Cado Security, which  found  the  sample  after Sysdig detailed a sophisticated attack known as  SCARLETEEL  aimed at containerized environments to ultimately steal proprietary data and software. Specifically, the early phase of the attack chain involved the use of a cryptocurrency miner, which the cloud security firm suspected was deployed as a decoy to conceal the detection of data exfiltration. The artifact – uploaded to VirusTotal late last month – "bear[s] several syntactic and semantic similarities to prior TeamTNT payloads, and includes a wallet ID that has previously been attributed to them," a new analysis from Cado Security has  revealed . TeamTNT , active since at least 2019, has been documented to repeatedly strike cloud and container en...

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...