M1 multitool device bundles several hacking and penetration tools and can serve as an alternative to the Flipper Zero with STM32H5 MCU, WiFi.

Been banging my head against a wall about this for a while now. I have the NUCLEO-H503RB. If I take the stm32h5 blinky example and make minimal changes: change the chip to the H503RB change task ar...

Дізнайтеся про новий Arduino Ventuno Q від Qualcomm. 16 ГБ оперативної пам'яті, 40 TOPs для ШІ таSTM32H5 для робототехніки. Офлайн ШІ-моделі за ціною до $300.

M1 multitool device bundles several hacking and penetration tools and can serve as an alternative to the Flipper Zero with STM32H5 MCU, WiFi.

Developing robust, secure networking for embedded systems just got a whole lot smoother. We are excited to announce that wolfIP now features official

Qualcomm and Arduino have unveiled the Arduino Ventuno Q, a new AI-focused single-board computer built for robotics and edge systems. Engadget reports: Called the Arduino Ventuno Q, it uses Qualcomm's Dragonwing IQ8 processor along with a dedicated STM32H5 low-latency microcontroller (MCU). "Ventun...

Arduino recently opened pre-orders for the Ventuno Q, a dual-processor development board designed for edge AI, robotics, computer vision, and industrial applications. The platform pairs a Qualcomm Dragonwing IQ8 application processor with an STM32H5 microcontroller and ships with Ubuntu pre-installed alongside Arduino’s App Lab development environment. The Ventuno Q was first shown in March this […]

Firmware TPMs (fTPMs) are enabling TPM 2.0 functionality on platforms that cannot accommodate discrete TPM devices, including microcontrollers, safety processors, FPGA soft-cores, and trusted execution environments. Watch now for a technical webinar on wolfTPM Firmware TPM (fTPM). We'll examine how

Arduino recently opened pre-orders for the Ventuno Q, a dual-processor development board designed for edge AI, robotics, computer vision, and industrial applications. The platform pairs a Qualcomm Dragonwing IQ8 application processor with an STM32H5 microcontroller and ships with Ubuntu pre-installed alongside Arduino’s App Lab development environment. The Ventuno Q was first shown in March this […]

The Arduino Ventuno Q is a single board computer pairing a Qualcomm Dragonwing IQ8 (IQ-8275) octa-core Edge AI SoC with an STM32H5F5 Arm Cortex-M33

The Arduino Ventuno Q is a single board computer pairing a Qualcomm Dragonwing IQ8 (IQ-8275) octa-core Edge AI SoC with an STM32H5F5 Arm Cortex-M33 microcontroller for real-time I/Os. First introduced at Embedded World 2026, the Ventuno Q is the second Qualcomm-based Arduino board after the Arduino UNO Q launched in October 2025. It’s quite a different beast with a larger design featuring 16GB LPDDR5, 64GB eMMC flash, an M.2 socket for NVMe storage, 2.5GbE and Wi-Fi 6 networking, a 4K-capable HDMI output, and two USB 3.2 ports, while still offloading real-time I/O to a Cortex-M33 microcontroller. Arduino Ventuno Q (ABX00181) specifications: SoC – Qualcomm Dragonwing IQ8 (IQ-8275, also known as QCS8275): CPU – Octa-core Kryo Gen 6 (Arm Cortex-A78/A55) processor GPU – Adreno A623 AI accelerator -Hexagon Tensor AI Processor (NPU) up to 40 dense TOPS ISP – Qualcomm Spectra 692/690 ISP Microcontroller (MCU) – STMicro STM32H5F5 CPU core [...] The post $299 Arduino Ventuno Q SBC combines Qualcomm Dragonwing IQ8 SoC and STM32H5 MCU appeared first on CNX Software - Embedded Systems News.

wolfHSM on STM32H5 wolfHSM now supports the STM32H5 family. The same wolfHSM server that runs on Infineon AURIX TC3xx and ST SPC58 automotive parts now runs on a Cortex-M33, isolated by Arm TrustZone-M instead of a discrete HSM coprocessor. No extra silicon, no second MCU, no external secure element. The work is a two-part PR: […]

Run secure TCP/IP networking on STM32H5 microcontrollers without exceeding MCU resource limits. Join our webinar to see how the STM32H5 microcontroller and the wolfIP TCP/IP stack work together to enable secure networking on constrained MCU systems. Register now: Secure Networking on STM32H5 with the wolfIP TCP/IP Stack Date: May 6 | 9 AM PT The […]

From Automotive HSM to IoT When most people hear about Hardware Security Modules, they tend to think of the automotive industry. wolfHSM has spent years proving itself on Infineon AURIX TC3xx, ST SPC58, and similar high-end automotive parts, where a dedicated HSM core stands guard over keys, signing, and secure boot inside vehicles shipping at […]

About wolfBoot wolfBoot is a portable, OS-agnostic secure bootloader designed for embedded systems. It provides secure boot capabilities with support for a wide range of cryptographic signature algorithms, from traditional RSA and ECDSA to post-quantum algorithms like ML-DSA, LMS, and XMSS. wolfBoot is built on top of the wolfCrypt cryptography library and is designed to […]

Qualcomm and Arduino have unveiled the Arduino Ventuno Q, a new AI-focused single-board computer built for robotics and edge systems. Engadget reports: Called the Arduino Ventuno Q, it uses Qualcomm's Dragonwing IQ8 processor along with a dedicated STM32H5 low-latency microcontroller (MCU). "Ventuno Q is engineered specifically for systems that move, manipulate and respond to the physical world with precision and reliability," the company wrote on the product page. The Ventuno Q is more sophisticated (and expensive) than Arduinio's usual AIO boards, thanks to the Dragonwing IQ8 processor that includes an 8-core ARM Cortex CPU, Adreno Arm Cortex A623 GPU and Hexagon Tensor NPU that can hit up ot 40 TOPs. It also comes with 16GB of LPDDR5 RAM, along with 64GB of eMMC storage and an M.2 NVME Gen.4 slot to expand that. Other features include Wi-Fi 6, Bluetooth 5.3, 2.5Gbps ethernet and USB camera support. The Ventuno Q includes Arudino App Lab, with pre-trained AI models including LLMs, VLMs, ASR, gesture recognition, pose estimation and object tracking, all running offline. It's designed for AI systems that run entirely offline like smart kiosks, healthcare assistants and traffic flow analysis, along with Edge AI vision and sensing systems. It also supports a full robotics stack including vision processing combined with deterministic motor control for precise vision and manipulation. It's also ideal for education and research in areas like computer vision, generative AI and prototyping at the edge, according to Arduino. Further reading: Up Next for Arduino After Qualcomm Acquisition: High-Performance Computing Read more of this story at Slashdot.

Article details exploiting a stack buffer overflow on an STM32H5. It demonstrates basic shellcode injection, then bypassing a non-executable stack (XN/MPU) using Return-Oriented Programming (ROP) with gadgets from the chip's ROM code to dump firmware, showcasing advanced embedded exploitation techniques.

Qualcomm and Arduino have unveiled the Arduino Ventuno Q, a new AI-focused single-board computer built for robotics and edge systems. Engadget reports: Called the Arduino Ventuno Q, it uses Qualcomm's Dragonwing IQ8 processor along with a dedicated STM32H5 low-latency microcontroller (MCU). "Ventuno Q is engineered specifically for systems that move, manipulate and respond to the physical world with precision and reliability," the company wrote on the product page. The Ventuno Q is more sophisticated (and expensive) than Arduinio's usual AIO boards, thanks to the Dragonwing IQ8 processor that includes an 8-core ARM Cortex CPU, Adreno Arm Cortex A623 GPU and Hexagon Tensor NPU that can hit up ot 40 TOPs. It also comes with 16GB of LPDDR5 RAM, along with 64GB of eMMC storage and an M.2 NVME Gen.4 slot to expand that. Other features include Wi-Fi 6, Bluetooth 5.3, 2.5Gbps ethernet and USB camera support. The Ventuno Q includes Arudino App Lab, with pre-trained AI models including LLMs, VLMs, ASR, gesture recognition, pose estimation and object tracking, all running offline. It's designed for AI systems that run entirely offline like smart kiosks, healthcare assistants and traffic flow analysis, along with Edge AI vision and sensing systems. It also supports a full robotics stack including vision processing combined with deterministic motor control for precise vision and manipulation. It's also ideal for education and research in areas like computer vision, generative AI and prototyping at the edge, according to Arduino. Further reading: Up Next for Arduino After Qualcomm Acquisition: High-Performance Computing Read more of this story at Slashdot.

Morse Micro has recently launched the MM6108-EKH05 Wi-Fi HaLow Evaluation Kit designed to reduce the development and deployment time of IoT products.