Malware Dropper | Breaking Cybersecurity News | The Hacker News

Malicious loader programs capable of trojanizing Android applications are being traded on the criminal underground for up to $20,000 as a way to evade Google Play Store defenses. "The most popular application categories to hide malware and unwanted software include cryptocurrency trackers, financial apps, QR-code scanners, and even dating apps," Kaspersky  said  in a new report based on messages posted on online forums between 2019 and 2023. Dropper apps  are the primary means for threat actors looking to sneak malware via the Google Play Store. Such apps often masquerade as seemingly innocuous apps, with malicious updates introduced upon clearing the review process and the applications have amassed a significant user base. This is achieved by using a loader program that's responsible for injecting malware into a clean app, which is then made available for download from the app marketplace. Users who install the tampered app are prompted to grant it intrusive permiss...

In a sign that malicious actors continue to find ways to work around Google Play Store security protections, researchers have spotted a previously undocumented Android dropper trojan that's currently in development. "This new malware tries to abuse devices using a novel technique, not seen before in Android malware, to spread the extremely dangerous  Xenomorph  banking trojan, allowing criminals to perform On-Device Fraud on victim's devices," ThreatFabric's Han Sahin said in a statement shared with The Hacker News. Dubbed  BugDrop  by the Dutch security firm, the  dropper app  is explicitly designed to defeat new features introduced in the upcoming version of Android that aim to make it difficult for malware to request Accessibility Services privileges from victims. ThreatFabric attributed the dropper to a cybercriminal group known as "Hadoken Security," which is also behind the creation and distribution of the  Xenomorph and Gymdrop  Androi...

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...

Four different Android banking trojans were spread via the official Google Play Store between August and November 2021, resulting in more than 300,000 infections through various dropper apps that posed as seemingly harmless utility apps to take full control of the infected devices. Designed to deliver Anatsa (aka TeaBot), Alien, ERMAC, and Hydra, cybersecurity firm ThreatFabric  said  the malware campaigns are not only more refined, but also engineered to have a small malicious footprint, effectively ensuring that the payloads are installed only on smartphones devices from specific regions and preventing the malware from being downloaded during the publishing process . Once installed, these banking trojans can surreptitiously siphon user passwords and SMS-based two-factor authentication codes, keystrokes, screenshots, and even deplete users' bank accounts without their knowledge by using a tool called Automatic Transfer System ( ATSs ). The apps have since been removed fro...