Can a Single Message Paralyze the AI Infrastructure? the Rise of AbO-DDoS Attacks through Targeted Mobius Injection

Large Language Model LLM agents have emerged as key intermediaries, orchestrating complex interactions between human users and a wide range of digital services and LLM infrastructures. While prior research has extensively examined the security of LLMs and agents in isolation, the systemic risk of...

AI Survey: 50% of Organizations Struggle to Maintain Latency at Scale

The Akamai State of AI Inference report captures real data from the field that describes how AI inference is being built and scaled in production today...

Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems

The adoption of Internet of Things IoT systems at the network edge of smart architectures is increasing rapidly, intensifying the need for security mechanisms that are both adaptive and resource-efficient. In such environments, runtime defence mechanisms are no longer limited to detection alone b...

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic Via Asymmetric Contrastive Learning

Decompositional jailbreaks pose a critical threat to large language models LLMs by allowing adversaries to fragment a malicious objective into a sequence of individually benign queries that collectively reconstruct prohibited content. In real-world deployments, LLMs face a continuous, untraceable...

EDySec: A Deep Learning-Based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem

The security of open-source software repositories is increasingly threatened by next-gen software supply chain attacks. These attacks include multiphase malware execution, remote access activation, and dynamic payload generation. Traditional Machine Learning ML detectors struggle to detect these...

Network Impact of Post-Quantum Certificate Chain Sizes on Time to First Byte in TLS Deployments

Post-Quantum Cryptography PQC is a rapidly growing deployment challenge as cryptographically relevant quantum computers CRQC continue to advance, leaving traditional cryptographic algorithms used in X.509 vulnerable to attack. However, PQC introduces significant deployment challenges in real-worl...

RowHammer Vulnerability Counter (RVC): Redefining RowHammer Detection with Victim-Centric Tracking

The Rowhammer vulnerability poses an increasing challenge with newer generations of DRAM and aggressive technology scaling. Existing mitigation techniques, such as Graphene, Twice, and Hydra, primarily rely on tracking activation counts for each row and issuing refreshes when a row reaches a...

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...

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...

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,...