Layered Performance Analysis of TLS 1.3 Handshakes: Classical, Hybrid, and Pure Post-Quantum Key Exchange

In this paper, we present a laboratory study focused on the impact of post-quantum cryptography PQC algorithms on multiple layers of stateful HTTP over TLS transactions: the TCP handshake, the intermediate TCP-TLS layer, the TLS handshake, the intermediate TLS layer, and the HTTP application laye...

An Analysis of Modern Web Security Vulnerabilities Inside WebAssembly Applications

The growth in the adoption of the WebAssembly WASM standard has given rise to a rapidly increasing landscape of binary applications that are natively ported to the environment of websites. The flexibility of WASM has made it the preferred way to run fast and resource-heavy applications, replacing...

Artificial Noise Versus Artificial Noise Elimination: Redefining Scaling Laws of Physical Layer Security

Artificial noise AN is a key physical-layer security scheme for wireless communications over multiple-input multiple-output wiretap channels. Recently, artificial noise elimination ANE has emerged as a strategy to mitigate the impact of AN on eavesdroppers. However, the influence of ANE on the...

WAV Fuzzer 1.0

This script is a fuzzer tool for WAV file processing programs that targets memory corruption vulnerabilities...

SmartGraphical: A Human-In-The-Loop Framework for Detecting Smart Contract Logical Vulnerabilities Via Pattern-Driven Static Analysis and Visual Abstraction

Smart contracts are fundamental components of blockchain ecosystems; however, their security remains a critical concern due to inherent vulnerabilities. While existing detection methodologies are predominantly syntax-oriented, targeting reentrancy and arithmetic errors, they often overlook logica...

Cybersecurity AI: Hacking Consumer Robots in the AI Era

Is robot cybersecurity broken by AI? Consumer robots -- from autonomous lawnmowers to powered exoskeletons and window cleaners -- are rapidly entering homes and workplaces, yet their security remains rooted in assumptions of specialized attacker expertise. This paper presents evidence that...

VoiceSHIELD-Small: Real-Time Malicious Speech Detection and Transcription

Voice interfaces are quickly becoming a common way for people to interact with AI systems. This also brings new security risks, such as prompt injection, social engineering, and harmful voice commands. Traditional security methods rely on converting speech to text and then filtering that text,...

Machine Learning Techniques for Enhancing Quantum Key Distribution

Quantum Key Distribution QKD offers theoretically unbreakable security by leveraging quantum mechanics. However, practical implementation is challenged by environmental vulnerabilities, noise, and hardware imperfections. Recently, Machine Learning ML has emerged as a powerful tool to address thes...

ClawShield 1.0.0

ClawShield is a security proxy for AI agents. It scans all inbound and outbound messages for prompt injection, PII leaks, and secrets...

QSpy: A Quantum RAT for Circuit Spying and IP Theft

As quantum computing platforms increasingly adopt cloud-based execution, users submit quantum circuits to remote compilers and backends, trusting that what they submit is exactly what will be run. This shift introduces new trust assumptions in the submission pipeline, which remain largely...

AMDS: Attack-Aware Multi-Stage Defense System for Network Intrusion Detection with Two-Stage Adaptive Weight Learning

Machine learning based network intrusion detection systems are vulnerable to adversarial attacks that degrade classification performance under both gradient-based and distribution shift threat models. Existing defenses typically apply uniform detection strategies, which may not account for...

IU: Imperceptible Universal Backdoor Attack

Backdoor attacks pose a critical threat to the security of deep neural networks, yet existing efforts on universal backdoors often rely on visually salient patterns, making them easier to detect and less practical at scale. In this work, we introduce a novel imperceptible universal backdoor attac...

OpenAI - Disrupting Malicious Uses of Our Models

This is the February, 2026 report from OpenAI that discusses their work in disrupting malicious use of their models...

Lifecycle-Integrated Security for AI-Cloud Convergence in Cyber-Physical Infrastructure

The convergence of Artificial Intelligence AI inference pipelines with cloud infrastructure creates a dual attack surface where cloud security standards and AI governance frameworks intersect without unified enforcement mechanisms. AI governance, cloud security, and industrial control system...

Strengthening Security and Noise Resistance in One-Way Quantum Key Distribution Protocols through Hypercube-Based Quantum Walks

Quantum Key Distribution QKD is a foundational cryptographic protocol that ensures information-theoretic security. However, classical protocols such as BB84, though favored for their simplicity, offer limited resistance to eavesdropping, and perform poorly under realistic noise conditions. Recent...

Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection under Resource Constraints

Distributed denial-of-service DDoS attacks threaten the availability of Internet of Things IoT infrastructures, particularly under resource-constrained deployment conditions. Although transfer learning models have shown promising detection accuracy, their reliability, computational feasibility, a...

Linux Kernel 7.x Safe Verification of XFS Scrub ioctl Support

This tool provides a safe and non-exploitative way to verify whether a mount point uses the XFS file system and whether the system kernel supports the ioctl interface for XFS metadata cleanup XFSIOCSCRUBMETADATA. The tool performs verification of the file system type to confirm it is XFS, safely...

Radware 2026 Global Threat Analysis Report

This is the Radware 2026 Global Threat Analysis Report that provides details on global network and application attack trends of 2025...

AndroWasm: An Empirical Study on Android Malware Obfuscation through WebAssembly

In recent years, stealthy Android malware has increasingly adopted sophisticated techniques to bypass automatic detection mechanisms and harden manual analysis. Adversaries typically rely on obfuscation, anti-repacking, steganography, poisoning, and evasion techniques to AI-based tools, and...

Aether Smart Contract Security Analysis Framework 4.7.1

Aether is a Python-based framework for analyzing Solidity smart contracts, generating vulnerability findings, producing Foundry-based proof-of-concept PoC tests, and validating exploits on mainnet forks. It combines Solidity AST parsing, taint analysis, control flow graph analysis, cross-contract...

DARTH-PUM: A Hybrid Processing-Using-Memory Architecture

Analog processing-using-memory PUM; a.k.a. in-memory computing makes use of electrical interactions inside memory arrays to perform bulk matrix-vector multiplication MVM operations. However, many popular matrix-based kernels need to execute non-MVM operations, which analog PUM cannot directly...

Python Email Header Injection Mitigation Tester

This tool demonstrates how modern Python's email library EmailMessage with policy.default effectively prevents email header injection attacks. By rejecting newline and carriage return characters in header values, the library enforces RFC 5322 compliance and blocks classic injection attempts such ...

A Scan-Based Analysis of Internet-Exposed IoT Devices Using Shodan Data

An open measurement problem in IoT security is whether scan-observable network configurations encode population-level exposure risk beyond individual devices. An analysis of internet-exposed IoT endpoints using a controlled multi-country sample from Shodan Search and Shodan InternetDB, selecting...

Toward a Military Smart Cyber Situational Awareness (CSA)

The development of technology across multiple sectors and the growing importance of cyber warfare make the development of Cyber Situational Awareness CSA a fundamental component of any cyber defense strategy. CSA, as a practice, enables understanding of the current landscape within an organizatio...

Backdoor Attacks on Contrastive Continual Learning for IoT Systems

The Internet of Things IoT systems increasingly depend on continual learning to adapt to non-stationary environments. These environments can include factors such as sensor drift, changing user behavior, device aging, and adversarial dynamics. Contrastive continual learning CCL combines contrastiv...

Lightweight Cluster-Based Federated Learning for Intrusion Detection in Heterogeneous IoT Networks

The rise of heterogeneous Internet of Things IoT devices has raised security concerns due to their vulnerability to cyberattacks. Intrusion Detection Systems IDS are crucial in addressing these threats. Federated Learning FL offers a privacy-preserving solution, but IoT heterogeneity and limited...

Kill It with FIRE: On Leveraging Latent Space Directions for Runtime Backdoor Mitigation in Deep Neural Networks

Machine learning models are increasingly present in our everyday lives; as a result, they become targets of adversarial attackers seeking to manipulate the systems we interact with. A well-known vulnerability is a backdoor introduced into a neural network by poisoned training data or a malicious...

jsonpath 1.1.1 Prototype Pollution Scanner

jsonpath version 1.1.1 prototype pollution scanner that checks if a system is vulnerable to CVE-2025-61140 without any actual exploitation...

Breaking 5G on the Lower Layer

As 3GPP systems have strengthened security at the upper layers of the cellular stack, plaintext PHY and MAC layers have remained relatively understudied, though interest in them is growing. In this work, we explore lower-layer exploitation in modern 5G, where recent releases have increased the...

Robust Vision Systems for Connected and Autonomous Vehicles: Security Challenges and Attack Vectors

This article investigates the robustness of vision systems in Connected and Autonomous Vehicles CAVs, which is critical for developing Level-5 autonomous driving capabilities. Safe and reliable CAV navigation undeniably depends on robust vision systems that enable accurate detection of objects,...

When Skills Lie: Hidden-Comment Injection in LLM Agents

LLM agents often rely on Skills to describe available tools and recommended procedures. We study a hidden-comment prompt injection risk in this documentation layer: when a Markdown Skill is rendered to HTML, HTML comment blocks can become invisible to human reviewers, yet the raw text may still b...

October 2025 Burp Cross Site Scripting Cheatsheet

This is Portswigger's really useful cross site scripting cheatsheet. Last updated in October of 2025...

ShallowJail: Steering Jailbreaks against Large Language Models

Large Language ModelsLLMs have been successful in numerous fields. Alignment has usually been applied to prevent them from harmful purposes. However, aligned LLMs remain vulnerable to jailbreak attacks that deliberately mislead them into producing harmful outputs. Existing jailbreaks are either...

Inference-Time Backdoors Via Hidden Instructions in LLM Chat Templates

Open-weight language models are increasingly used in production settings, raising new security challenges. One prominent threat in this context is backdoor attacks, in which adversaries embed hidden behaviors in language models that activate under specific conditions. Previous work has assumed th...

Cyber Insurance, Audit, and Policy: Review, Analysis and Recommendations

Cyber insurance, which protects insured organizations against financial losses from cyberattacks and data breaches, can be difficult and expensive to obtain for many organizations. These difficulties stem from insurers difficulty in understanding and accurately assessing the risks that they are...

Openbiz Cubi Cross Site Scripting

Multiple cross site scripting vulnerabilities exist in Openbiz Cubi. These vulnerabilities allow remote attackers to inject arbitrary web script or HTML. This issue is older research added to the archive...

ImpressCMS 1.3.10 Cross Site Scripting

Multiple cross site scripting vulnerabilities exist in ImpressCMS version 1.3.10, including both reflected and persistent cross site scripting. These vulnerabilities allow remote attackers to inject arbitrary web script or HTML. This issue is older research added to the archive...

The Bug Genie 3.2.7.1 Cross Site Scripting

A cross site scripting vulnerability exists in The Bug Genie version 3.2.7.1. The vulnerability allows remote attackers to inject arbitrary web script or HTML. This issue is older research added to the archive...

QuietPrint: Protecting 3D Printers against Acoustic Side-Channel Attacks

The 3D printing market has experienced significant growth in recent years, with an estimated revenue of 15 billion USD for 2025. Cyber-attacks targeting the 3D printing process whether through the machine itself, the supply chain, or the fabricated components are becoming increasingly common. One...

TWiki 6.0.1 Cross Site Scripting

A cross site scripting vulnerability exists in TWiki version 6.0.1 via the WebSearch functionality. The vulnerability allows remote attackers to inject arbitrary web script or HTML. This issue is older research added to the archive...

Geeklog 2.2.1 Cross Site Scripting

A cross site scripting vulnerability exists in Geeklog CMS version 2.2.1. The vulnerability allows remote attackers to inject arbitrary web script or HTML. This issue is older research added to the archive...

MailPoet Newsletters 2.6.19 Cross Site Scripting

A cross site scripting vulnerability exists in MailPoet Newsletters WordPress Plugin version 2.6.19. The vulnerability allows remote attackers to inject arbitrary web script or HTML. This issue is older research added to the archive...

HACK NDSU: A Real-World Event to Promote Student Interest in Cybersecurity

Hack NDSU let students scan, probe, and hack North Dakota State University's campus network, under professionals' supervision, providing an aspirational experience, potentially motivating them to enter the field. This paper provides a blueprint for educational hacking events against production...

Sleep Reveals the Nonce: Breaking ECDSA Using Sleep-Based Power Side-Channel Vulnerability

Security of Elliptic Curve Digital Signature Algorithm ECDSA depends on the secrecy of the per-signature nonce. Even partial nonce leakage can expose the long-term private key through lattice-based cryptanalysis. In this paper, we introduce a previously unexplored power side-channel vulnerability...

Okara: Detection and Attribution of TLS Man-In-The-Middle Vulnerabilities in Android Apps with Foundation Models

Transport Layer Security TLS is fundamental to secure online communication, yet vulnerabilities in certificate validation that enable Man-in-the-Middle MitM attacks remain a pervasive threat in Android apps. Existing detection tools are hampered by low-coverage UI interaction, costly...

Towards a Cognitive-Support Tool for Threat Hunters

Cybersecurity increasingly relies on threat hunters to proactively identify adversarial activity, yet the cognitive work underlying threat hunting remains underexplored or insufficiently supported by existing tools. Building on prior studies that examined how threat hunters construct and share...

Whispers of Wealth: Red-Teaming Google's Agent Payments Protocol Via Prompt Injection

Large language model LLM based agents are increasingly used to automate financial transactions, yet their reliance on contextual reasoning exposes payment systems to prompt-driven manipulation. The Agent Payments Protocol AP2 aims to secure agent-led purchases through cryptographically verifiable...

Windows Registry Run Persistence

This Metasploit module is a Windows persistence module designed to maintain access to a compromised system after a successful exploitation and an active Meterpreter session has been obtained...

Nuclei 3.7.0

Nuclei is a modern, high-performance vulnerability scanner that leverages simple YAML-based templates. It empowers you to design custom vulnerability detection scenarios that mimic real-world conditions, leading to zero false positives...

LLM-Assisted Authentication and Fraud Detection

User authentication and fraud detection face growing challenges as digital systems expand and adversaries adopt increasingly sophisticated tactics. Traditional knowledge-based authentication remains rigid, requiring exact word-for-word string matches that fail to accommodate natural human memory...