binaries Archives

AppWizard

October 11, 2026

Android Malware Caught by Teaching AI to Read Apps as Pictures

A research team from Turkey, led by Erdal Başaran and Ömer Okucu of Ağrı İbrahim Çeçen University, along with Yusuf Alaca from Hitit University, has developed an innovative detection framework for Android malware that utilizes a visual approach. This framework transforms key features of Android applications into images, allowing a Vision Transformer to differentiate between benign software and malware. The researchers created two types of images from static and dynamic analysis features: a conventional 2D grayscale image and a QR code image. Separate Vision Transformer models were trained on each image type, and spatial pooling features were extracted from deeper layers to create a comprehensive representation of application behavior. To refine the fused feature vector, Recursive Feature Elimination (RFE) was employed, enhancing classification clarity and reducing computational load. The final classification utilized a majority-voting ensemble strategy, achieving a detection accuracy of 98.72 percent, surpassing standalone models. The study demonstrates that the multimodal system outperforms individual grayscale or QR code pathways. The dataset used is publicly available, promoting reproducibility. The framework's reliance on static and dynamic analysis features allows it to adapt to new threats, and the novel QR code representation offers distinctive visual signatures of malicious behavior. However, challenges remain regarding feature extraction quality and computational demands.

AppWizard

October 6, 2026

My favorite open-source Android screen mirroring app is now way faster

Scrcpy 5.0 is a lightweight, open-source tool for screen mirroring Android phones to PCs, released by developer Romain Vimont on GitHub. Key features include: - Native hardware-accelerated video decoding, reducing desktop CPU usage by up to 10 times. - Improved input latency due to offloading video decoding to the graphics card. - Enhanced audio capture capabilities, allowing capture of all audio streams. - Official native Windows on ARM64 binaries for Snapdragon-powered laptops. - Bug fixes and refinements, including improved video buffering and resolution of keypress dropping bugs. Hardware decoding is enabled by default, with an option for users to control or disable it. Scrcpy 5.0 follows the previous version's enhancements in flex display handling.

BetaBeacon

October 4, 2026

Winlator 11.2 Setup: Run Windows Games on Android [2026]

Winlator is a free, open-source Android application that translates Windows game instructions into ARM instructions on the fly. It uses Wine, Box64, Box86, DXVK, VKD3D, and a graphics translation stack to achieve this. The performance of Winlator depends heavily on the chip doing the translation.

Winsage

October 4, 2026

Modder brings Nvidia Pascal GPU support to Windows XP 32-bit

Tech enthusiast SupraGSX has introduced support for Nvidia's Pascal-era graphics cards (10-series and Quadro P2000-P6000) on the Windows XP 32-bit platform through a custom driver called ForceWare 382.69. This driver combines legacy and modern technology, integrating firmware from Quadro 376.84 and supporting features from GeForce 378.78 designed for Windows 7. Supported graphics cards include GeForce GTX 970, 980, 980 Ti, GTX TITAN X, GTX 1060, 1070, 1070 Ti, 1080, 1080 Ti, GTX 1050 Ti (experimental), Quadro M4000, M5000, M6000, P2000, P2200, P4000, P5000, P6000, and additional OEM variants of GTX 950 and GTX 960. The driver also supports DisplayPort HBR2 and HBR3, ensuring HDMI 2.0 identification and improved HDMI/DVI handling. User feedback has been positive, particularly for ultrawide screens at high refresh rates. The project offers an installer package for download, and modders can access build instructions for modifications. There are inquiries about Windows XP 64-bit support, but a previous fork has been removed, with binaries still available on Mega. Users are advised to proceed with caution due to the unofficial nature of the drivers.

AppWizard

September 27, 2026

AnyPS5 Reaches PS5 Game Menu on PC, No Emulator [2026]

A developer named boykopovar has created an open-source tool called AnyPS5 on GitHub, which aims to convert PlayStation 5 games to run natively on Windows and Linux systems. AnyPS5 can load a PS5 game's logo and reach its main menu on PC hardware but crashes before the menu becomes interactive. The tool uses a method called relinking, which reformats PS5 executables into native Windows or Linux files and provides replacement libraries to mimic PS5 system libraries. There is currently no public build available, and the developer has stated that a public release will only occur after a successful game launch. Sony has not made any public statements or taken legal action regarding AnyPS5. The project operates under the GPL-2.0 license, but the legal implications of using it with actual PS5 games remain unclear. Historical trends suggest that console emulation projects typically take years to mature, but AnyPS5's shared architecture with PCs may offer a potential shortcut.

Winsage

September 23, 2026

Cisco Talos Discloses Autonomous Windows Malware: Four AI Models Direct Each Attack

Cisco Talos has disclosed a Windows implant called CLOSEDQUORUM, which automates cyberattack execution using four advanced commercial large language models: DeepSeek, Qwen, Mistral, and Google Gemini. The implant is a 16.4-megabyte executable that conducts reconnaissance on the system and formats the gathered data into prompts for the AI models. Each model votes on one of four actions: steal, inject, persist, or move, with the action receiving the most votes being executed. When stealing, CLOSEDQUORUM targets three credential stores, dumping LSASS memory and retrieving saved passwords from browsers and cryptocurrency wallets. The stolen data is encrypted and sent to the operator via Discord. For injection, it uses Early Bird APC injection or process hollowing based on model responses. The persist action creates three mechanisms for longevity, including a Registry Run key, a scheduled task, and a WMI event subscription. CLOSEDQUORUM evades detection by suppressing ETW telemetry and delaying activity to avoid sandbox analyses. It connects to legitimate API endpoints, making blocking ineffective without disrupting enterprise applications. Talos recommends behavioral combination detection strategies and the use of a YARA rule for detection. The CAIRN toolkit has been introduced to detect AI-integrated malware without executing binaries. Unlike previous AI-assisted malware, CLOSEDQUORUM removes human decision-making from the attack process.

AppWizard

September 23, 2026

RatHat Android Malware Uses AI to Target Banking Credentials in Real Time

A newly identified strain of Android malware, RatHat, utilizes generative AI to manipulate infected devices in real time. It is linked to threat actors believed to be operating out of China. RatHat serializes the device’s live Accessibility tree into XML format and communicates with a generative AI assistant to return screen coordinates, identify text, and issue navigation commands. The malware employs WebView-based HTML overlays to capture login credentials from banking and cryptocurrency applications and can infiltrate payment apps like WeChat and Alipay to extract PINs. It also features an SMS receiver and notification listener to intercept OTPs and 2FA codes. RatHat is disseminated through smishing, malvertising campaigns, and misleading third-party forums. It employs anti-analysis techniques such as container tampering, manifest bombing, DEX bytecode poisoning, string encryption, and anti-debugging. Once installed, it gains Accessibility access, activates Developer Options, and enables Wireless Debugging, allowing it to connect to the device's local ADB service and launch control agents with shell-level privileges. The malware captures raw touch coordinates to reconstruct PINs and unlock patterns, bypassing screenshot protections. It also includes persistence mechanisms that prevent uninstallation by presenting a fake Google Play failure overlay and automatically reinstalling itself if removed.

AppWizard

September 19, 2026

New RatHat Android Malware Uses AI to Steal Banking Logins, PINs and OTP Codes

Security researchers have identified an Android banking Trojan named RatHat, which utilizes artificial intelligence, accessibility features, and Android Debug Bridge (ADB) to steal financial credentials, PINs, and one-time passcodes. Unlike traditional malware, RatHat employs a live AI assistant that interacts with the Android accessibility tree, allowing it to make real-time decisions based on the victim's screen content. The infection typically starts with social-engineering tactics, leading victims to counterfeit download pages where they are tricked into sideloading a malicious APK. Once installed, RatHat prompts users to enable Android Accessibility Service permissions, which it exploits to navigate Developer Options and enable Wireless Debugging. This grants it shell-level ADB access, allowing it to bypass application sandbox restrictions. RatHat deploys two native binaries for executing commands and maintaining a connection to the attacker's infrastructure. It targets banking applications through credential-stealing overlays and can intercept SMS messages for transaction verification codes. Additionally, it can record touch coordinates to reconstruct PINs and unlock patterns. RatHat includes persistence mechanisms to restore itself after removal, and users are advised to perform a factory reset if they suspect compromise. To reduce infection risk, users should avoid sideloading apps from unknown links, deny unnecessary Accessibility Service requests, and refrain from enabling Developer Options or Wireless Debugging for unfamiliar applications.

Winsage

September 16, 2026

Ex-MS engineer reveals the story behind the infamous ‘FCKGW’ Windows XP key: ‘Pirates started baking the key into images or just writing it on the CD with a Sharpie’

David Plummer, a former Microsoft engineer, was the primary author of Windows XP's Product Activation system, which included the infamous product key FCKGW. This key became widely used on pirated copies of the operating system. Plummer created the activation system by compressing and encrypting disc data, ensuring its security. The FCKGW key was specifically tied to certain data configurations, making it ineffective on standard XP CDs. A piracy group, Devils0wn, leaked a complete Windows XP Pro Corporate ISO and the valid FCKGW key just five weeks before the official launch, allowing unauthorized installations. Microsoft responded by blacklisting product IDs associated with the compromised keys in Service Pack 1 and blocking updates for installations using the FCKGW key in Service Pack 2. Valid, un-leaked Volume License Keys (VLKs) remained functional for years after the incident. Plummer noted that the media and the key were leaked before the product reached stores, preventing the intended hardware-binding from functioning.

Tech Optimizer

September 15, 2026

AI Is Changing Antivirus From File Matching to Behaviour-Based Malware Detection

Artificial intelligence is transforming malware detection by moving away from traditional file signature reliance to analyzing program actions. Antivirus software previously used signatures to identify known threats, but the rapid emergence of over 450,000 new malware samples daily complicates this method. Attackers now employ techniques like repacking and encryption to evade detection, prompting the need for machine-learning and behavioral techniques for better protection. Modern detection systems assess multiple characteristics of executable files, including their behavior, to identify potential threats, even if they lack recognized signatures. Microsoft's Project Ire exemplifies advanced detection capabilities, functioning as an automated malware analyst that evaluates unknown binaries based on their behavior. Additionally, modern endpoint-security products leverage cloud systems to analyze data from multiple devices, enhancing threat detection through shared intelligence. However, AI detection can still produce false positives and is susceptible to manipulation by attackers. Therefore, effective security systems require a combination of traditional measures, behavioral monitoring, machine learning, and human analysis to navigate complex threats.