Mining Characteristics of Vulnerable Smart Contracts across Lifecycle Stages

Smart contracts are the cornerstone of decentralized applications and financial protocols, which extend the application of digital currency transactions. The applications and financial protocols introduce significant security challenges, resulting in substantial economic losses. Existing solution...

Scalable APT Malware Classification Via Parallel Feature Extraction and GPU-Accelerated Learning

This paper presents an underlying framework for both automating and accelerating malware classification, more specifically, mapping malicious executables to known Advanced Persistent Threat APT groups. The main feature of this analysis is the assembly-level instructions present in executables whi...

CVE-2025-0467

Kernel software installed and running inside a Guest VM may exploit memory shared with the GPU Firmware to write data outside the Guest's virtualised GPU memory...

CVE-2025-0467

Kernel software installed and running inside a Guest VM may exploit memory shared with the GPU Firmware to write data outside the Guest's virtualised GPU memory...

CVE-2025-0467

The GPU DDK contains a vulnerability where kernel software running inside a Guest VM can exploit memory shared with the GPU Firmware . Specifically, a flaw in rgxfw_hwperf_get_packet_buffer allows for an out-of-range pointer offset (CWE-823), enabling an attacker to perform an OOB write to data o...

CVE-2025-0467 GPU DDK - rgxfw_hwperf_get_packet_buffer OOB write

Kernel software installed and running inside a Guest VM may exploit memory shared with the GPU Firmware to write data outside the Guest's virtualised GPU memory...

PT-2025-17248 · Imagination Technologies +1 · Graphics Ddk +1

Name of the Vulnerable Software and Affected Versions: The product name cannot be determined. Description: Kernel software installed and running inside a Guest VM may exploit memory shared with the GPU Firmware to write data outside the Guest's virtualised GPU memory. Recommendations: At the...

Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction

As the number of web applications and API endpoints exposed to the Internet continues to grow, so does the number of exploitable vulnerabilities. Manually identifying such vulnerabilities is tedious. Meanwhile, static security scanners tend to produce many false positives. While machine...

Imagination GPU Driver 安全漏洞

Imagination GPU Driver is a graphics driver from Imagination. A security vulnerability exists in Imagination GPU Driver that originates from kernel software in Guest VM that may utilize shared memory to write GPU firmware data...

Artificial Intelligence – What's all the fuss?

Talking about AI: Definitions Artificial Intelligence AI — AI refers to the simulation of human intelligence in machines, enabling them to perform tasks that typically require human intelligence, such as decision-making and problem-solving. AI is the broadest concept in this field, encompassing...

dpdk: Denial Of Service from malicious guest on hypervisors using DPDK Vhost library

An out-of-bounds read vulnerability was found in DPDK's Vhost library checksum offload feature. This issue enables an untrusted or compromised guest to crash the hypervisor's vSwitch by forging Virtio descriptors to cause out-of-bounds reads. This flaw allows an attacker with a malicious VM using...

CISA: Key Secure by Demand Elements for Operational Technology Fact Sheet

This fact sheet addresses key elements for operational technology OT owners and operators to consider when purchasing digital products that automate physical processes, e.g. programmable logic controllers PLCs, human-machine interfaces HMIs, and remote terminal units RTUs. CISA strongly advises...

OpCode-Based Malware Classification Using Machine Learning and Deep Learning Techniques

This technical report presents a comprehensive analysis of malware classification using OpCode sequences. Two distinct approaches are evaluated: traditional machine learning using n-gram analysis with Support Vector Machine SVM, K-Nearest Neighbors KNN, and Decision Tree classifiers; and a deep...

Malicious Code Detection in Smart Contracts Via Opcode Vectorization

With the booming development of blockchain technology, smart contracts have been widely used in finance, supply chain, Internet of things and other fields in recent years. However, the security problems of smart contracts become increasingly prominent. Security events caused by smart contracts...

DYNAMITE: Dynamic Defense Selection for Enhancing Machine Learning-Based Intrusion Detection against Adversarial Attacks

The rapid proliferation of the Internet of Things IoT has introduced substantial security vulnerabilities, highlighting the need for robust Intrusion Detection Systems IDS. Machine learning-based intrusion detection systems ML-IDS have significantly improved threat detection capabilities; however...

AZL-69640 CVE-2025-23135 affecting package kernel 6.6.157.1-1

In the Linux kernel, the following vulnerability has been resolved: RISC-V: KVM: Teardown riscv specific bits after kvmexit During a module removal, kvmexit invokes arch specific disable call which disables AIA. However, we invoke aiaexit before kvmexit resulting in the following warning. KVM...

OpDiffer: LLM-Assisted Opcode-Level Differential Testing of Ethereum Virtual Machine

As Ethereum continues to thrive, the Ethereum Virtual Machine EVM has become the cornerstone powering tens of millions of active smart contracts. Intuitively, security issues in EVMs could lead to inconsistent behaviors among smart contracts or even denial-of-service of the entire blockchain...

The Evolution of Zero Trust Architecture (ZTA) from Concept to Implementation

Zero Trust Architecture ZTA is one of the paradigm changes in cybersecurity, from the traditional perimeter-based model to perimeterless. This article studies the core concepts of ZTA, its beginning, a few use cases and future trends. Emphasising the always verify and least privilege access, some...

Bypassing Prompt Injection and Jailbreak Detection in LLM Guardrails

Large Language Models LLMs guardrail systems are designed to protect against prompt injection and jailbreak attacks. However, they remain vulnerable to evasion techniques. We demonstrate two approaches for bypassing LLM prompt injection and jailbreak detection systems via traditional character...

Unable to create a new machine catalog using SCVMM

Unable to create new machine catalog with the Microsoft System Center Virtual Machine Manager. This error is seen StudioErrorId : ProvisioningTaskError ErrorCategory : NotSpecified TaskState : FailedToCreateImagePreparationVm TaskStateInformation : Terminated ErrorId :...