CVE-2025-54047

Missing Authorization vulnerability in QuanticaLabs Cost Calculator ql-cost-calculator allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Cost Calculator: from n/a through = 7.4...

CVE-2025-54047 WordPress Cost Calculator plugin <= 7.4 - Broken Access Control Vulnerability

Missing Authorization vulnerability in QuanticaLabs Cost Calculator ql-cost-calculator allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Cost Calculator: from n/a through = 7.4...

CVE-2025-54047

CVE-2025-54047 concerns the WordPress plugin Cost Calculator. The initial description identifies a missing authorization issue due to incorrectly configured access control levels, affecting versions up to and including 7.4. Connected sources corroborate a broken access control vulnerability for t...

CVE-2025-54047 WordPress Cost Calculator plugin <= 7.4 - Broken Access Control Vulnerability

Missing Authorization vulnerability in QuanticaLabs Cost Calculator allows Exploiting Incorrectly Configured Access Control Security Levels. This issue affects Cost Calculator: from n/a through 7.4...

WordPress plugin Cost Calculator 安全漏洞

WordPress Cost Calculator is a plugin for creating quote or cost estimation forms, which is mainly used to help users calculate prices based on different parameters in real time and generate professional quotes. WordPress Cost Calculator suffers from an authorization issue vulnerability that stem...

On the Consideration of Vanity Address Generation Via Identity-Based Signatures

An address is indicated as an identifier of the user on the blockchain, and is defined by a hash value of the ECDSA verification key. A vanity address is an address that embeds custom characters such as a name. To generate a vanity address, a classical try-and-error method is employed, and thus t...

Split Happens: Combating Advanced Threats with Split Learning and Function Secret Sharing

Split Learning SL -- splits a model into two distinct parts to help protect client data while enhancing Machine Learning ML processes. Though promising, SL has proven vulnerable to different attacks, thus raising concerns about how effective it may be in terms of data privacy. Recent works have...

PRM-Free Security Alignment of Large Models Via Red Teaming and Adversarial Training

Large Language Models LLMs have demonstrated remarkable capabilities across diverse applications, yet they pose significant security risks that threaten their safe deployment in critical domains. Current security alignment methodologies predominantly rely on Process Reward Models PRMs to evaluate...

Phishing Detection in the Gen-AI Era: Quantized LLMs Vs Classical Models

Phishing attacks are becoming increasingly sophisticated, underscoring the need for detection systems that strike a balance between high accuracy and computational efficiency. This paper presents a comparative evaluation of traditional Machine Learning ML, Deep Learning DL, and quantized...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in the Linux kernel that stems from the possibility of dividing by zero when calculating costs for non-CPU devices...

Adaptive Variation-Resilient Random Number Generator for Embedded Encryption

With a growing interest in securing user data within the internet-of-things IoT, embedded encryption has become of paramount importance, requiring light-weight high-quality Random Number Generators RNGs. Emerging stochastic device technologies produce random numbers from stochastic physical...

The Democratization of Phishing: Popularity of PhaaS platforms on the rise

The Democratization of Phishing: Popularity of PhaaS Platforms on the Rise By Ryan Slaney · June 30, 2025 The phishing industry is being profoundly reshaped by the surge of Phishing-as-a-Service PhaaS platforms. These accessible, often Artificial Intelligence AI-powered, offerings are democratizi...

SIMulator: SIM Tracing on a (Pico-)Budget

SIM tracing -- the ability to inspect, modify, and relay communication between a SIM card and modem -- has become a significant technique in cellular network research. It enables essential security- and development-related applications such as fuzzing communication interfaces, extracting session...

Efficient Retail Video Annotation: a Robust Key Frame Generation Approach for Product and Customer Interaction Analysis

Accurate video annotation plays a vital role in modern retail applications, including customer behavior analysis, product interaction detection, and in-store activity recognition. However, conventional annotation methods heavily rely on time-consuming manual labeling by human annotators,...

CEGA: a Cost-Effective Approach for Graph-Based Model Extraction and Acquisition

Graph Neural Networks GNNs have demonstrated remarkable utility across diverse applications, and their growing complexity has made Machine Learning as a Service MLaaS a viable platform for scalable deployment. However, this accessibility also exposes GNN to serious security threats, most notably...

A Smart Contract-Based Non-Transferable Signature Verification System Using Nominative Signatures

Nominative signatures allow us to indicate who can verify a signature, and they can be employed to construct a non-transferable signature verification system that prevents the signature verification by a third party in unexpected situations. For example, this system can prevent IOU/loan certifica...

SUSE CVE-2022-50086

In the Linux kernel, the following vulnerability has been resolved: block: don't allow the same type rqqos add more than once In our test of iocost, we encountered some list add/del corruptions of innerwalk list in ioctimerfn. The reason can be described as follows: cpu 0 cpu 1 iocqoswrite...

Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task

With today's wide adoption of LLM products like ChatGPT from OpenAI, humans and businesses engage and use LLMs on a daily basis. Like any other tool, it carries its own set of advantages and limitations. This study focuses on finding out the cognitive cost of using an LLM in the educational conte...

MainWP: Reflected XSS in "Cost Tracker" Notes Field

The reflected Cross-Site Scripting XSS vulnerability was discovered in the "Notes" input field of the Cost Tracker section in MainWP Version 5.4.0.11. Arbitrary user input in this field was reflected back and executed immediately upon saving, due to the lack of proper input sanitization and outpu...

JavelinGuard: Low-Cost Transformer Architectures for LLM Security

We present JavelinGuard, a suite of low-cost, high-performance model architectures designed for detecting malicious intent in Large Language Model LLM interactions, optimized specifically for production deployment. Recent advances in transformer architectures, including compact BERTDevlin et al...