crypto Archives

BetaBeacon

June 23, 2026

Mane City Mobile Lands On iOS And Android In 100+ Countries

Loaded Lions has opened pre-registration for Mane City Mobile, a competitive strategy game that is now available on iOS and Android. The mobile version offers territory building, real-time PvP combat, and marketplace trading, operating on a separate server from the desktop version to ensure fair gameplay. Mane City Mobile is free to play with optional in-game purchases, and players can choose between the Legion and Void factions to build empires and climb ranked leaderboards.

AppWizard

June 23, 2026

Telegram’s ad business: How the messaging app makes money

Telegram has established an advertising model that focuses on monetizing public channels, selling ads based on channel topics rather than user identity. Revenue generated from ads is split evenly between Telegram and the channel owner, with no data-mining or behavioral targeting involved. The primary ad format is Sponsored Messages, which appear in public channels with at least 1,000 subscribers and consist of a text block and optional call-to-action button. Advertisers can purchase these ads through a self-serve portal without demographic targeting, ensuring no personal data is used for placements. Public channels are treated as independent units, with 50% of ad revenue going to channel owners, paid in Toncoin. Telegram's ad system has become more accessible by lowering minimum spend requirements. In addition to Sponsored Messages, Telegram is developing Mini Apps funded by its in-app currency, Stars. Regulatory scrutiny has increased, with various countries imposing bans or restrictions on Telegram for reasons related to content moderation and compliance, such as a temporary ban in India in June 2026 due to exam fraud investigations.

AppWizard

June 19, 2026

Android App Development in Google AI Studio: The Ultimate Vibe Coding Guide

A straightforward application for tracking cryptocurrency purchases using a dollar-cost averaging (DCA) strategy is being developed. Users can log trades, which allows the app to calculate the average entry price for each asset. 1. The app is built using Google AI Studio, where users select the “Build an Android app” option and provide a detailed description of the task. 2. The app allows users to add purchase entries with asset ticker, amount spent in USD, price per coin at purchase, and date, storing all entries locally. It displays total invested, total coins accumulated, average entry price, and includes a summary card with overall portfolio cost, a delete option for each entry, and filtering by asset. 3. AI Studio offers several design options, including Clean Minimalism and Elegant Dark, which can be selected or skipped. 4. The Gemini model generates a project with approximately ten Kotlin files and launches the app in an emulator, initially displaying “Total Invested: [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: Step-by-Step App Build To illustrate the app development process, we will create a straightforward application designed for tracking cryptocurrency purchases using a dollar-cost averaging (DCA) strategy. This app will enable users to log their trades, allowing it to calculate the average entry price for each asset effortlessly. Step 1. Choose the mode and describe the app Begin by launching Google AI Studio, navigating to the Build tab, and selecting the “Build an Android app” option. In the designated input field, provide a detailed description of the task at hand. Prompt Build a native Android app for tracking dollar-cost averaging (DCA) crypto purchases. Let the user add a purchase entry with: asset ticker (e.g. BTC, ETH), amount spent in USD, price per coin at purchase, and date. Store all entries locally on the device. For each asset, show the total invested, total coins accumulated, and the average entry price. Add a summary card at the top with the overall portfolio cost. Include a delete option for each entry and the ability to filter by asset. Source: Incrypted. Step 2. Choosing a design Prior to generating the code, AI Studio presents a selection of visual style options for the app, including Clean Minimalism, Elegant Dark, Professional Polish, Vibrant Palette, and Sleek Interface. You can choose your preferred design by clicking “Select this design” or opt to skip this step by selecting “Skip.” Source: Incrypted. Step 3. Generation and first build The Gemini model will then create a project, typically comprising around ten Kotlin files, and launch the app in the built-in emulator. Upon initial launch, the screen will appear empty, displaying “Total Invested: [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: Step-by-Step App Build Let’s break down the process using a simple app for tracking crypto buys with a dollar-cost averaging (DCA) strategy. The user logs their trades, and the app calculates the average entry price for each asset. Step 1. Choose the mode and describe the app Open Google AI Studio, go to the Build tab, and select the “Build an Android app” option. In the input field, describe the task. Prompt Copy Build a native Android app for tracking dollar-cost averaging (DCA) crypto purchases. Let the user add a purchase entry with: asset ticker (e.g. BTC, ETH), amount spent in USD, price per coin at purchase, and date. Store all entries locally on the device. For each asset, show the total invested, total coins accumulated, and the average entry price. Add a summary card at the top with the overall portfolio cost. Include a delete option for each entry and the ability to filter by asset. Source: Incrypted. Step 2. Choosing a design Before generating the code, AI Studio offers several app visual style options — for example, Clean Minimalism, Elegant Dark, Professional Polish, Vibrant Palette, and Sleek Interface. You can pick the option you like under “Select this design” or skip the step by clicking “Skip.” Source: Incrypted. Step 3. Generation and first build The Gemini model creates a project — in our case, about ten Kotlin files — and launches the app in the built-in emulator. At launch, the screen is empty: the portfolio counter shows “Total Invested: $0.00,” and the purchases list is empty. Source: Incrypted. Step 4. Fixing errors If a message saying “1 error running the code” appears at the bottom of the panel, click Fix. The model finds the cause — in this example, it was an initialization error on startup — and fixes the code. After that, the app launches correctly. Step 5. Testing Click the plus button in the bottom-right corner. The “Add Purchase” window will open with the fields Ticker, Amount USD, and Price Per Coin. Enter the trade details and click Add. Add a few purchases — the “Total Invested” counter at the top will sum up your invested funds. Data: Incrypted. Data: Incrypted. Step 6. Refining the feature with a prompt To have the app group purchases by asset and calculate the average entry price, уточните задачу следующим промптом. Prompt Copy Group the purchases by ticker and, for each asset, add a summary card above its entries showing: total invested, total coins accumulated, and the average entry price. Calculate the average entry price as total invested divided by total coins for that asset. Display it clearly, for example u0022Avg entry: $2071.67u0022. Keep the existing per-purchase list below each summary. After the refinement, each asset gets its own card with the total amount, the number of coins, and the average entry price, and below it — a list of specific trades. Data: Incrypted. After testing in the emulator, you can install the app on a smartphone via ADB using a USB cable or publish it to Google Play’s internal testing track — these options are available from the same interface." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].00” alongside an empty purchases list. Source: Incrypted. Step 4. Fixing errors If an error message appears stating “1 error running the code,” simply click Fix. The model will identify the issue—such as an initialization error on startup—and rectify the code accordingly. Following this correction, the app should launch without further issues. Step 5. Testing To test the app, click the plus button located in the bottom-right corner. This action will open the “Add Purchase” window, prompting you to fill in the fields for Ticker, Amount USD, and Price Per Coin. After entering the trade details, click Add. As you input several purchases, the “Total Invested” counter at the top will dynamically sum your invested funds. Data: Incrypted. Data: Incrypted. Step 6. Refining the feature with a prompt To enhance the app's functionality by grouping purchases by asset and calculating the average entry price, refine your task with the following prompt. Prompt Group the purchases by ticker and, for each asset, add a summary card above its entries showing: total invested, total coins accumulated, and the average entry price. Calculate the average entry price as total invested divided by total coins for that asset. Display it clearly, for example "Avg entry: 71.67". Keep the existing per-purchase list below each summary. Data: Incrypted. After implementing these refinements, each asset will feature its own summary card displaying the total amount invested, the number of coins accumulated, and the average entry price, with a detailed list of specific trades below. Once testing in the emulator is complete, you can install the app on a smartphone via ADB using a USB cable or publish it to Google Play’s internal testing track—both options are conveniently accessible from the same interface." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].00” and an empty purchases list. 5. If an error occurs during code execution, clicking "Fix" allows the model to identify and correct the issue, enabling the app to launch correctly. 6. The app is tested by adding purchase details through an “Add Purchase” window, which updates the “Total Invested” counter. 7. To enhance functionality, the app can be refined to group purchases by asset, displaying a summary card for each asset that includes total invested, total coins accumulated, and average entry price, while maintaining a list of specific trades below each summary. 8. After testing, the app can be installed on a smartphone via ADB or published to Google Play’s internal testing track.

AppWizard

June 17, 2026

Hundreds of Android banking and crypto apps hit by dangerous new Rokarolla malware

Security researchers at Zimperium have identified a new Android banking trojan named “Rokarolla,” which threatens users of over 200 banking and cryptocurrency applications. It is distributed through spoofed websites, third-party app stores, and social media, but has not been found on the Google Play Store or other official Android repositories. Rokarolla requests extensive permissions, particularly concerning Accessibility services, SMS, calls, and notifications. Its capabilities include accessing WhatsApp contacts, capturing keystrokes, recording the screen, blocking incoming calls, and sending screenshots. Zimperium has not specified which geographical areas may be most vulnerable or the estimated number of potential infections. Users are advised to download applications only from official repositories to reduce the risk of encountering this malware.

AppWizard

June 17, 2026

New Rokarolla Android Trojan Targets 217 Banking and Crypto Apps

Zimperium’s zLabs researchers have analyzed a newly identified Android banking trojan named Rokarolla, which targets 217 distinct banking and cryptocurrency applications. It is distributed through malicious websites that impersonate popular platforms like TikTok and Google Chrome, with one identified distribution point being hxxps://infocontablidades[.]it[.]com/. The malware uses a dropper disguised as Google Play Protect to install a second-stage payload and gain Accessibility Services access, allowing it to simulate user interactions and manipulate on-screen elements. Rokarolla downloads counterfeit HTML login pages for targeted applications and overlays them to capture user credentials, including sensitive card information. It can also deploy a fraudulent PIN entry screen, read and send SMS messages, intercept one-time codes from banks, and block incoming calls. The malware rewrites the clipboard, operates a keylogger and screen content logger, and scrapes WhatsApp contact data. It captures screenshots without alerting users and has a resilient command-and-control infrastructure with multiple fallback domains. No product flaws are exploited, and defenses against it include installing apps only from Google Play and being cautious with Accessibility Services. Zimperium’s Mobile Threat Defense and zDefend products can detect Rokarolla, and a list of indicators of compromise is available on their GitHub repository.

AppWizard

June 16, 2026

New Rokarolla Android malware targets 217 banking, crypto apps

A new Android banking trojan named Rokarolla targets 217 banking and cryptocurrency applications and features 137 commands for malicious activities. It is distributed via deceptive websites posing as legitimate application sources and impersonates Google Play Protect to lure users into installing infected apps. Once installed, it seeks Accessibility service permissions and access to notifications, SMS, and calls. Rokarolla communicates with a command-and-control server, sending device profiles to generate unique identifiers for victims. Its primary goal is to steal financial information by using deceptive login overlays to capture sensitive data and maintain control over the device. The malware employs evasion tactics such as disabling Google Play Protect, hiding its icon, silencing notifications, and keeping the screen awake. It can steal SMS messages, extract contacts, capture keystrokes, record screen content, manipulate clipboard contents, block calls, and take screenshots. Zimperium confirms that Rokarolla is not found on Google Play, and users are advised to avoid downloading APK files from untrusted sources and to be cautious with Accessibility permissions.

AppWizard

June 16, 2026

New Rokarolla Android Malware Steals PINs, SMS Codes, and Crypto Wallet Funds

Security researchers at Zimperium's zLabs have identified a new Android banking trojan named Rokarolla, which can target 217 banking and cryptocurrency applications and execute 137 remote commands. The malware spreads through deceptive websites that impersonate popular apps, installing a dropper that mimics Google Play Protect to gain Accessibility access. It uses overlay techniques to capture sensitive information by displaying counterfeit login pages and can intercept SMS messages, including one-time codes from banks. Rokarolla also features a keylogger, screen logger, and can rewrite clipboard contents to divert cryptocurrency payments. It employs advanced methods for discreet data capture and has multiple fallback command-and-control domains, making it resilient against takedowns. There is no patch available for this malware, and users are advised to install apps only from Google Play and remain cautious of unexpected Accessibility requests. Zimperium's products can detect this malware, and indicators of compromise are available on their GitHub repository.

AppWizard

June 11, 2026

EVE Online’s survival spinoff Frontier is a hardcore space sim you can play on a gamepad that’s unlike anything else out there

EVE Frontier is gaining acceptance from the EVE Online community despite skepticism regarding its relevance amidst the crypto gaming trend. It features an innovative server-side modding system and showcased a combat arena experience at EVE Fanfest, where participants had ten minutes to compete. The gameplay is designed with a slower pace, reminiscent of survival horror games, and takes place in a moody nebula with immersive audio. The game's aesthetic combines cyberpunk elements with ancient motifs, and it introduces both manual aiming and auto-targeting weapon systems, allowing players to choose their combat style. This marks a departure from EVE Online's mechanics, which relied heavily on auto-targeting. A major update, Cycle 6: Sanctuary, is set to launch on June 25.

Tech Optimizer

June 6, 2026

Hackers Use Fake Purchase Orders to Deploy JS.MonoGlyphRAT Targeting US Enterprises

Researchers have identified a new malware called JS.MonoGlyphRAT, which disguises itself as business documents to infiltrate corporate networks. It is primarily spread through phishing emails targeting various sectors in the U.S. and has been reported in countries like Germany, Sweden, and Australia. The malware is classified as "Unknown malware" on threat intelligence platforms, making traditional antivirus solutions ineffective. It establishes a persistent presence in the network by executing a JavaScript file and communicating with command-and-control (C2) servers over HTTP. Key indicators of compromise include unusual HTTP traffic, registry changes, and the execution of specific JavaScript files. The malware can download additional payloads and execute commands without leaving traces on disk. Indicators of compromise include specific IP addresses, URLs, file hashes, and registry keys associated with the malware's operation.

Winsage

June 4, 2026

ADCS Now Generates Post-Quantum Certificates For Windows

Active Directory Certificate Services (ADCS) now supports the generation of post-quantum certificates, enhancing quantum-safe cryptography within Windows' secure connection protocols. Microsoft has integrated PQ TLS hybrid key exchange into the Windows Transport Layer Security (TLS) stack, providing protection against "Harvest Now, Decrypt Later" attacks. The PQ TLS hybrid key exchange combines traditional cryptographic methods with the NIST ML-KEM algorithm, offering three hybrid combinations: X25519MLKEM768, SecP256r1MLKEM768, and SecP384r1_MLKEM1024. This feature is available in preview via the Windows Insider Program and will be rolled out to Windows 11 and Windows Server. Additionally, Windows cryptography APIs now support composite ML-KEM and ML-DSA algorithms, which are NIST-approved standards for key exchange and digital signatures, enhancing security by requiring multiple components to be compromised. Microsoft emphasizes the importance of establishing new Certification Authorities (CAs) for implementing post-quantum certificate issuance, as existing CAs cannot be upgraded. The introduction of ML-DSA support within ADCS allows organizations to counter HNDL risks associated with long-lived data. Organizations are encouraged to inventory their use of public-key cryptography, prioritize systems protecting sensitive data, and test hybrid and composite approaches in non-production environments to facilitate a smooth transition to quantum-safe cryptography.