Cyberscurity | Breaking Cybersecurity News | The Hacker News

Cybersecurity researchers have dissected the inner workings of an information-stealing malware called Saintstealer that's designed to siphon credentials and system information. "After execution, the stealer extracts username, passwords, credit card details, etc.," Cyble researchers  said  in an analysis last week. "The stealer also steals data from various locations across the system and compresses it in a password-protected ZIP file." A 32-bit C# .NET-based executable with the name "saintgang.exe," Saintstealer is equipped with anti-analysis checks, opting to terminate itself if it's running either in a sandboxed or virtual environment. The malware can capture a wide range of information that ranges from taking screenshots to gathering passwords, cookies, and autofill data stored in Chromium-based browsers such as Google Chrome, Opera, Edge, Brave, Vivaldi, and Yandex, among others. It can also steal Discord multi-factor authentication toke...

The sprawling  SolarWinds cyberattack  which came to light last December was known for its sophistication in the breadth of tactics used to infiltrate and persist in the target infrastructure, so much so that Microsoft went on to call the threat actor behind the campaign "skillful and methodic operators who follow operations security (OpSec) best practices to minimize traces, stay under the radar, and avoid detection." As further proof of this, new research published today shows that the threat actor carefully planned each stage of the operation to "avoid creating the type of patterns that make tracking them simple," thus deliberately making forensic analysis difficult. By analyzing telemetry data associated with previously published indicators of compromise, RiskIQ said it identified an additional set of 18 servers with high confidence that likely communicated with the targeted, secondary Cobalt Strike payloads delivered via the TEARDROP and RAINDROP malware, r...

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...