Cloud Digital Forensic Readiness: an Open Source Approach to Law Enforcement Request Management

Cloud Forensics presents a multi-jurisdictional challenge that may undermines the success of digital forensic investigations DFIs. The growing volumes of domiciled and foreign law enforcement LE requests, the latency and complexity of formal channels for crossborder data access are challenging...

Researchers Warn Free VPNs Could Leak US Data to China

Tech Transparency Project warns Chinese-owned VPNs like Turbo VPN and X-VPN remain on Apple and Google app stores, raising national security concerns...

Reversing the Paradigm: Building AI-First Systems with Human Guidance

The relationship between humans and artificial intelligence is no longer science fiction -- it's a growing reality reshaping how we live and work. AI has moved beyond research labs into everyday life, powering customer service chats, personalizing travel, aiding doctors in diagnosis, and supporti...

Core.ai Phoenix Code 安全漏洞

Core.ai Phoenix Code is a lightweight text editor from Core.ai India. A security vulnerability exists in Core.ai Phoenix Code that stems from allowing dynamic library injection, which could lead to a local attacker bypassing TCC...

Tracking GPTs Third Party Service: Automation, Analysis, and Insights

ChatGPT has quickly advanced from simple natural language processing to tackling more sophisticated and specialized tasks. Drawing inspiration from the success of mobile app ecosystems, OpenAI allows developers to create applications that interact with third-party services, known as GPTs. GPTs ca...

KGMark: a Diffusion Watermark for Knowledge Graphs

Knowledge graphs KGs are ubiquitous in numerous real-world applications, and watermarking facilitates protecting intellectual property and preventing potential harm from AI-generated content. Existing watermarking methods mainly focus on static plain text or image data, while they can hardly be...

Review of Blockchain-Based Approaches to Spent Fuel Management in Nuclear Power Plants

This study addresses critical challenges in managing the transportation of spent nuclear fuel, including inadequate data transparency, stringent confidentiality requirements, and a lack of trust among collaborating parties, issues prevalent in traditional centralized management systems. Given the...

Chances and Challenges of the Model Context Protocol in Digital Forensics and Incident Response

Large language models hold considerable promise for supporting forensic investigations, but their widespread adoption is hindered by a lack of transparency, explainability, and reproducibility. This paper explores how the emerging Model Context Protocol can address these challenges and support th...

Machine Learning Models Have a Supply Chain Problem

Powerful machine learning ML models are now readily available online, which creates exciting possibilities for users who lack the deep technical expertise or substantial computing resources needed to develop them. On the other hand, this type of open ecosystem comes with many risks. In this paper...

CVE-2024-55655

sigstore-python is a Python tool for generating and verifying Sigstore signatures. Versions of sigstore-python newer than 2.0.0 but prior to 3.6.0 perform insufficient validation of the "integration time" present in "v2" and "v3" bundles during the verification flow: the "integration time" is...

CVE-2025-4280

MacOS version of Poedit bundles a Python interpreter that inherits the Transparency, Consent, and Control TCC permissions granted by the user to the main application bundle. An attacker with local user access can invoke this interpreter with arbitrary commands or scripts, leveraging the...

CVE-2019-8512

This issue was addressed with improved transparency. This issue is fixed in iOS 12.2. A user may authorize an enterprise administrator to remotely wipe their device without appropriate disclosure...

Evaluating the Efficacy of LLM Safety Solutions : the Palit Benchmark Dataset

Large Language Models LLMs are increasingly integrated into critical systems in industries like healthcare and finance. Users can often submit queries to LLM-enabled chatbots, some of which can enrich responses with information retrieved from internal databases storing sensitive data. This gives...

Towards Verifiability of Total Value Locked (TVL) in Decentralized Finance

Total Value Locked TVL aims to measure the aggregate value of cryptoassets deposited in Decentralized Finance DeFi protocols. Although blockchain data is public, the way TVL is computed is not well understood. In practice, its calculation on major TVL aggregators relies on self-reports from...

Comparative Analysis of Blockchain Systems

Blockchain is a type of decentralized distributed database. Unlike traditional relational database management systems, it does not require management or maintenance by a third party. All data management and update processes are open and transparent, solving the trust issues of centralized databas...

Building Trustworthy Multimodal AI: a Review of Fairness, Transparency, and Ethics in Vision-Language Tasks

Objective: This review explores the trustworthiness of multimodal artificial intelligence AI systems, specifically focusing on vision-language tasks. It addresses critical challenges related to fairness, transparency, and ethical implications in these systems, providing a comparative analysis of...

Securing the Future of IVR: AI-Driven Innovation with Agile Security, Data Regulation, and Ethical AI Integration

The rapid digitalization of communication systems has elevated Interactive Voice Response IVR technologies to become critical interfaces for customer engagement. With Artificial Intelligence AI now driving these platforms, ensuring secure, compliant, and ethically designed development practices i...

Decentralized Vulnerability Disclosure Via Permissioned Blockchain: a Secure, Transparent Alternative to Centralized CVE Management

This paper proposes a decentralized, blockchain-based system for the publication of Common Vulnerabilities and Exposures CVEs, aiming to mitigate the limitations of the current centralized model primarily overseen by MITRE. The proposed architecture leverages a permissioned blockchain, wherein on...

WhatsApp Launches Private Processing to Enable AI Features While Protecting Message Privacy

Popular messaging app WhatsApp on Tuesday unveiled a new technology called Private Processing to enable artificial intelligence AI capabilities in a privacy-preserving manner. "Private Processing will allow users to leverage powerful optional AI features – like summarizing unread messages or...

From Paper Trails to Trust on Tracks: Adding Public Transparency to Railways Via Zk-SNARKs

Railways provide a critical service and operate under strict regulatory frameworks for implementing changes or upgrades. Despite their impact on the public, these frameworks do not define means or mechanisms for transparency towards the public, leading to reduced trust and complex tracking...