Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection

The global financial ecosystem confronts a critical asymmetry: while fraud syndicates operate as borderless, distributed networks, banking institutions remain constrained by regulatory data silos, limiting visibility into cross-institutional threat patterns under strict privacy laws such as GDPR...

Insights into Security-Related AI-Generated Pull Requests

Recent years have experienced growing contributions of AI coding agents that assist human developers in various software engineering tasks. However, this growing AI-assisted autonomy raises questions about security and trust. In this paper, we analyze more than 33,000 AI-generated pull requests P...

Why Most AI Deployments Stall After the Demo

The fastest way to fall in love with an AI tool is to watch the demo. Everything moves quickly. Prompts land cleanly. The system produces impressive outputs in seconds. It feels like the beginning of a new era for your team. But most AI initiatives don't fail because of bad technology. They stall...

Towards Optimal Agentic Architectures for Offensive Security Tasks

Agentic security systems increasingly audit live targets with tool-using LLMs, but prior systems fix a single coordination topology, leaving unclear when additional agents help and when they only add cost. We treat topology choice as an empirical systems question. We introduce a controlled...

A Novel Quantum Augmented Framework to Improve Microgrid Cybersecurity

Small modular nuclear reactors SMRs are redefining the energy generation landscape by enabling the deployment of modular, scalable, and pre-built power units that can be used to build distributed autonomous microgrids for critical infrastructure and burgeoning AI factories. Often, these microgrid...

sqli-research

🔬 sqli-research Time-Based Blind SQL Injection — Riset, Po...

GHSA-MJ7R-X3H3-7RMR ApostropheCMS: User Enumeration via Timing Side Channel in Password Reset Endpoint

Summary The password reset endpoint /api/v1/@apostrophecms/login/reset-request exhibits a measurable timing side channel that allows unauthenticated attackers to enumerate valid usernames and email addresses. When a user is not found, the handler returns after a fixed 2-second artificial delay, b...

ROS-20260414-73-0026

Vulnerability in kernel-lt related to synchronization errors when using a shared resource. Exploitation of the vulnerability could allow an attacker to cause a denial of service...

Denial Of Service (DoS)

Apache Cassandra is vulnerable to Denial Of Service DoS. The vulnerability is due to inefficient handling of repeated password change operations, which allows an attacker to trigger increased query latency and degrade system performance...

CVE-2026-39321

Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. Prior to 9.8.0-alpha.6 and 8.6.74, he login endpoint response time differs measurably depending on whether the submitted username or email exists in the database. When a user is not found, the...

AZL-82673 CVE-2026-32588 affecting package cassandra 5.0.0-2

Authenticated DoS over CQL in Apache Cassandra 4.0, 4.1, 5.0 allows authenticated user to raise query latencies via repeated password changes. Users are recommended to upgrade to version 4.0.20, 4.1.11, 5.0.7, which fixes this issue...

Apache Cassandra 安全漏洞

Apache Cassandra is a distributed NoSQL database developed by the Apache Foundation in the United States. There are security vulnerabilities in Apache Cassandra versions 4.0, 4.1, and 5.0. These vulnerabilities allow authenticated users to increase query latency by repeatedly changing passwords,...

Signature Placement in Post-Quantum TLS Certificate Hierarchies: An Experimental Study of ML-DSA and SLH-DSA in TLS 1.3 Authentication

Post-quantum migration in TLS 1.3 should not be understood as a flat substitution problem in which one signature algorithm is replaced by another and deployment cost is inferred directly from primitive-level benchmarks. In certificate-based authentication, the practical effect of a signature fami...

Hybrid ResNet-1D-BiGRU with Multi-Head Attention for Cyberattack Detection in Industrial IoT Environments

This study introduces a hybrid deep learning model for intrusion detection in Industrial IoT IIoT systems, combining ResNet-1D, BiGRU, and Multi-Head Attention MHA for effective spatial-temporal feature extraction and attention-based feature weighting. To address class imbalance, SMOTE was applie...

[SECURITY] Fedora 43 Update: rust-resctl-bench-2.2.5-12.fc43

resctl-bench is a collection of whole-system benchmarks to evaluate resource control and hardware behaviors using realistic simulated workloads. Comprehensive resource control involves the whole system. Furthermore, testing resource control end-to-end requires scenarios involving realistic...

[SECURITY] Fedora 44 Update: rust-resctl-bench-2.2.5-12.fc44

resctl-bench is a collection of whole-system benchmarks to evaluate resource control and hardware behaviors using realistic simulated workloads. Comprehensive resource control involves the whole system. Furthermore, testing resource control end-to-end requires scenarios involving realistic...

Empowering Mobile Networks Security Resilience by Using Post-Quantum Cryptography

The transition to a cloud-native 5G Service-Based Architecture SBA improves scalability but exposes control-plane signaling to emerging quantum threats, including Harvest-Now, Decrypt-Later HNDL attacks. While NIST has standardized post-quantum cryptography PQC, practical, deployable integration ...

VulnScout-C: A Lightweight Transformer for C Code Vulnerability Detection

Vulnerability detection in C programs is a critical challenge in software security. Although large language models LLMs achieve strong detection performance, their multi-billion-parameter scale makes them impractical for integration into development workflows requiring low latency and continuous...

Experimental Evaluation of Security Attacks on Self-Driving Car Platforms

Deep learning-based perception pipelines in autonomous ground vehicles are vulnerable to both adversarial manipulation and network-layer disruption. We present a systematic, on-hardware experimental evaluation of five attack classes: FGSM, PGD, man-in-the-middle MitM, denial-of-service DoS, and...

Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape

The expansion of Internet of Things IoT devices has increased the attack surface of networks, necessitating a robust and adaptive intrusion detection systems. Machine learning based systems have been considered promising in enhancing the detection performance. Federated learning settings enabled ...