3131 matches found
CVE-2025-44557
CVE-2025-44557 affects Cypress PSoC4 BLE stack v3.66. A state machine transition flaw in the BLE pairing flow allows an attacker to bypass pairing and authentication via a crafted pairing_failed packet, potentially enabling unauthorized access. Documents from Red Hat and PT Security specify Cypre...
Reliability Analysis of Smart Contract Execution Architectures: a Comparative Simulation Study
The industrial market continuously needs reliable solutions to secure autonomous systems. Especially as these systems become more complex and interconnected, reliable security solutions are becoming increasingly important. One promising solution to tackle this challenge is using smart contracts...
CVE-2025-44557
A state machine transition flaw in the Bluetooth Low Energy BLE stack of Cypress PSoC4 v3.66 allows attackers to bypass the pairing process and authentication via a crafted pairingfailed packet...
CVE-2025-44559
An issue in the Bluetooth Low Energy BLE stack of Realtek RTL8762E BLE SDK v1.4.0 allows attackers within Bluetooth range to cause a Denial of Service DoS via sending a specific sequence of crafted control packets...
CVE-2025-44557
A state machine transition flaw in the Bluetooth Low Energy BLE stack of Cypress PSoC4 v3.66 allows attackers to bypass the pairing process and authentication via a crafted pairingfailed packet...
CVE-2025-44559
Realtek RTL8762E BLE SDK v1.4.0 is affected by a BLE stack vulnerability (CVE-2025-44559) that allows an attacker within Bluetooth range to trigger a Denial of Service by sending a specific sequence of crafted control packets. Affected component is the Realtek RTL8762E BLE SDK BLE stack; root cau...
PT-2025-27241 · Cypress · Cypress Psoc4
Name of the Vulnerable Software and Affected Versions: Cypress PSoC4 version 3.66 Description: A state machine transition flaw in the Bluetooth Low Energy BLE stack allows attackers to bypass the pairing process and authentication via a crafted pairing failed packet. This flaw enables attackers t...
PT-2025-28940 · Realtek · Rtl8762E Sdk +1
Name of the Vulnerable Software and Affected Versions: Realtek RTL8762EKF-EVB RTL8762E SDK version 1.4.0 Description: The Realtek RTL8762EKF-EVB RTL8762E SDK does not perform adequate permission checks on critical fields within Bluetooth Low Energy BLE data packets. This allows attackers to cause...
OneClik: A ClickOnce-Based APT Campaign Targeting Energy, Oil and Gas Infrastructure
OneClik: A ClickOnce-Based APT Campaign Targeting Energy, Oil and Gas Infrastructure By Nico Paulo Yturriaga and Pham Duy Phuc · June 24, 2025 The Trellix Advanced Research Center has uncovered a sophisticated APT malware campaign that we’ve dubbed OneClik. It specifically targets the energy, oil...
Hitachi Energy MicroSCADA X SYS600 安全漏洞
Hitachi MicroSCADA X SYS600 is a Hitachi Energy MicroSCADA X SYS600, a data acquisition and monitoring control system primarily used in power systems. A security vulnerability exists in Hitachi Energy MicroSCADA X SYS600 that originates from a denial of service due to improper handling of IEC...
Hitachi Energy Relion 670/650 and SAM600-IO Series
SUMMARY Hitachi Energy is aware of a vulnerability that affects the Relion 670/650 and SAM600-IO series IED device versions that are listed in this document. An authenticated attacker successfully exploiting this vulnerability via FTP access can cause the device to reboot due to improper disk...
Real-Time Agile Software Management for Edge and Fog Computing Based Smart City Infrastructure
The evolution of smart cities demands scalable, secure, and energy-efficient architectures for real-time data processing. With the number of IoT devices expected to exceed 40 billion by 2030, traditional cloud-based systems are increasingly constrained by bandwidth, latency, and energy limitation...
CnC-PRAC: Coalesce, Not Cache, Per Row Activation Counts for an Efficient In-DRAM Rowhammer Mitigation
JEDEC has introduced the Per Row Activation Counting PRAC framework for DDR5 and future DRAMs to enable precise counting of DRAM row activations using per-row activation counts. While recent PRAC implementations enable holistic mitigation of Rowhammer attacks, they impose slowdowns of up to 10% d...
Smart Buildings Energy Consumption Forecasting Using Adaptive Evolutionary Ensemble Learning Models
Smart buildings are gaining popularity because they can enhance energy efficiency, lower costs, improve security, and provide a more comfortable and convenient environment for building occupants. A considerable portion of the global energy supply is consumed in the building sector and plays a...
LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops
Multimodal Large Language Models MLLMs have shown great promise but require substantial computational resources during inference. Attackers can exploit this by inducing excessive output, leading to resource exhaustion and service degradation. Prior energy-latency attacks aim to increase generatio...
Certified Randomness from Quantum Speed Limits
Quantum speed limits are usually regarded as fundamental restrictions, constraining the amount of computation that can be achieved within some given time and energy. Complementary to this intuition, here we show that these limitations are also of operational value: they enable the secure generati...
Exploiting Efficiency Vulnerabilities in Dynamic Deep Learning Systems
The growing deployment of deep learning models in real-world environments has intensified the need for efficient inference under strict latency and resource constraints. To meet these demands, dynamic deep learning systems DDLSs have emerged, offering input-adaptive computation to optimize runtim...
On Secure UAV-Aided ISCC Systems
Integrated communication and sensing, which can make full use of the limited spectrum resources to perform communication and sensing tasks simultaneously, is an up-and-coming technology in wireless communication networks. In this work, we investigate the secrecy performance of an uncrewed aerial...
Secure Energy Transactions Using Blockchain Leveraging AI for Fraud Detection and Energy Market Stability
Peer-to-peer trading and the move to decentralized grids have reshaped the energy markets in the United States. Notwithstanding, such developments lead to new challenges, mainly regarding the safety and authenticity of energy trade. This study aimed to develop and build a secure, intelligent, and...
