Elasticsearch Database | Breaking Cybersecurity News | The Hacker News

Brazil's biggest cosmetics company Natura accidentally left hundreds of gigabytes of its customers' personal and payment-related information publicly accessible online that could have been accessed by anyone without authentication. SafetyDetective researcher Anurag Sen last month discovered two unprotected Amazon-hosted servers—with 272GB and 1.3TB in size—belonging to Natura that consisted of more than 192 million records. According to the report Anurag shared with The Hacker News, the exposed data includes personally identifiable information on 250,000 Natura customers, their account login cookies, along with the archives containing logs from the servers and users. Worryingly, the leaked information also includes Moip payment account details with access tokens for nearly 40,000 wirecard.com.br users who integrated it with their Natura accounts. "Around 90% of users were Brazilian customers, although other nationalities were also present, including customers ...

In today's world, data plays a crucial role in the success of any organization, but if left unprotected, it could be a cybercriminal's dream come true. Poorly protected MongoDB, CouchDB, and Elasticsearch databases recently got a lot more attention from cybersecurity firms and media lately. More than half of the known cases of massive data breaches over the past year originated from unsecured database servers that were accessible to anyone without any password. Since the database of an organization contains its most valuable and easily exploitable data, cybercriminals have also started paying closer attention to find other insecure entry points. Though the problems with unprotected databases are no news and are widely discussed on the Internet, I want cybersecurity community and industry experts to pay some attention to thousands of unsafe Kibana instances that are exposed on the Internet, posing a huge risk to many companies. Kibana is an open-source analytics and visualiz...

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...