DICOMHawk: A Cyber Deception Framework for Medical Imaging Infrastructure

Cyber-attacks against exposed healthcare infrastructure threaten sensitive patient data and clinical operations, yet existing defensive tools for DICOM-based medical imaging systems provide limited interaction and are easily fingerprinted. We introduce DICOMHawk, a cyber-deception framework that...

A SecOps Practitioner's View of Project Glasswing and the Halcyon Imperative

This paper is written from the ground level, from the perspective of someone running a Security Operations Center SOC and an Attack Surface Management program day to day. It is not a strategic overview for the boardroom. It is a practitioner's assessment of what Glasswing changes functionally, wh...

On the Security Implications of PQC in TLS: Handshake Exhaustion and IDS Degradation

Post-Quantum Cryptography PQC is increasingly being integrated into TLS 1.3 to enhance resilience against quantum-enabled attacks. However, the additional computational and communication overhead introduced by PQC primitives during the handshake phase may also amplify the impact of TLS handshake...

OpenEMR Fax/SMS Module Path Traversal Detection Scanner

This repository contains a detection-only security scanner for CVE-2026-24849 affecting the OpenEMR Fax/SMS module. It identifies potentially vulnerable OpenEMR installations by checking the application version, verifying the Fax/SMS module is present, probing the affected endpoint, and optionall...

Beyond Refusal: A Same-Lineage Study of Aligned and Abliterated LLMs for Vulnerability Analysis

Large language model LLM-assisted software security operates at a difficult boundary: the vulnerability-analysis terminology needed for legitimate code review, triage, and repair can closely resemble terminology associated with misuse. Existing safety and cybersecurity evaluations are difficult t...

SafeLine SL6 / SL6+ Authentication Bypass

The SafeLine SL6 and SL6+ devices integrated into elevator emergency intercom systems are vulnerable to an authentication bypass. This vulnerability allows attackers to bypass authentication requirements and access the device's configuration service via the Bluetooth Low Energy BLE interface...

The Cathedral and the Bazaar of Software Vulnerabilities: From the NVD to the CNAs

For decades, the National Vulnerability Database NVD, the "Cathedral", has been the reference source for vulnerability information for downstream research and industry tasks, e.g., software update prioritization. An emerging "Bazaar" of diverse CVE Numbering Authorities CNAs has created many...

Authentication in Quantum Networks

In this review, we survey the cryptographic task of authentication from the perspective of quantum communication. We review three main flavours of authentication that are often conflated in the literature: authentication of classical messages, authentication of quantum messages, and entity...

Decoys Cannot Go Everywhere: Mapping the Deception Surface in MITRE ATT&CK

Cyber deception research often assumes that a decoy can be placed wherever there is attacker behavior. This work tests that assumption across MITRE ATT&CK v18.1. We introduce a four-criterion rubric for infrastructure deception and apply it to all 250 ATT&CK techniques. The rubric evaluates wheth...

Joplin Plugin Persistence

This Metasploit module installs a malicious Joplin plugin .jpl into the targets Joplin plugin directory. The plugin executes the payload each time Joplin is launched, providing persistent code execution. Joplin can not be running at the time of plugin installation, or it will be overwritten at...

YAMCS Authentication Endpoint Enumeration Script

A low-risk security assessment utility that identifies a YAMCS instance, queries version information, tests the OAuth authentication endpoint with invalid credentials, and observes how the server handles special characters in usernames. The script performs basic reconnaissance and input-validatio...

VS Code Extension Security Scanner

A local security auditing tool that scans installed VS Code, VS Code Insiders, VS Code Server, VS Code OSS, and Cursor extensions for potentially suspicious behaviors. The script enumerates extension directories, parses extension metadata, and flags extensions that automatically execute on startu...

TLS Monitoring – Certificate Baseline Tracking and Risk Scoring System

This is a Python-based TLS monitoring framework that performs certificate collection, baseline tracking, and configuration assessment for remote services. The tool records certificate fingerprints, TLS versions, cipher suites, key sizes, and validity periods, stores historical baselines in SQLite...

Maestro 0.17.0

Maestro is a cross-platform desktop app for orchestrating your fleet of AI agents and projects. It's a high-velocity solution for hackers who are juggling multiple projects in parallel. Designed for power users who live on the keyboard and rarely touch the mouse. Collaborate with AI to create...

WordPress GravityForms Intrusion Detection System

This Python script implements a lightweight Intrusion Detection System IDS designed to monitor and analyze HTTP requests related to Gravity Forms in WordPress environments...

MIPSBLEED: Uncovering Microarchitectural Timing Leaks in Pervasive Embedded Processors

Despite their age, MIPS processors remain deeply embedded in routers, industrial controllers, and IoT systems, yet their security against modern side-channel attacks has received little attention. This paper exposes how Simultaneous Multithreading SMT, a feature increasingly used to boost...

MASCOT-Android: A Curated Dataset and Automated Collection Pipeline for Android Malware Source Code Specimens

Compared with binaries and decompiled code, malware source code more directly reflects the attackers' original intent. However, the scarcity of source code and the high cost of manual review make such datasets difficult to build and maintain. We propose MASCOT-Android, a curated dataset of Androi...

FuseChain: Runtime Evidence Reconstruction for Software Supply-Chain Attacks

Software supply-chain SSC attacks are increasingly multi-stage, cross-source, and temporally distributed. A single attack campaign may leave weak and fragmented traces across multi-source telemetry that captures different granularities and perspectives of runtime behavior. Existing runtime...

Security Engineering of OpenClaw: Analyzing Attack Surface Expansion and Trust-Boundary Violations

Agentic large language model LLM systems can now execute actions, not only produce text. When model outputs trigger privileged operations such as shell commands, browser automation, or external tool calls, the security problem shifts from alignment alone to system configuration and structural...

FreeType Contour Boundary Validation Utility

This is a FreeType contour boundary validation utility for detecting indexing and integer-limit risks. It implements a validation routine for detecting unsafe contour metadata conditions by evaluating contour counts and index boundaries against expected limits...

LNTest: A Testbed for Evaluating Bitcoin Lightning Network-Based Botnets

Bitcoin's Lightning Network LN can be exploited as a covert, low-cost command-and-control C&C channel for botnets, as demonstrated by the LNBot and D-LNBot designs. However, both remain proof-of-concept prototypes evaluated only through simulation, leaving key questions about real-world topology...

FortiSandbox Exposure Scanner

This Metasploit auxiliary scanner module performs passive exposure assessment of FortiSandbox deployments by identifying platform fingerprints, collecting publicly accessible version metadata, and evaluating API exposure levels without using exploit functionality. The module validates whether a...

ClickFix Server Web-Based Social Engineering Delivery Browser Update Prompts

This Python program implements a web server that delivers browser-themed pages designed to instruct visitors to manually execute commands through operating system interfaces such as run dialogs or shell launchers...

Nuclei 3.9.0

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...

When Discovery Outpaces Remediation: Modeling AI-Accelerated Vulnerability Discovery in Interconnected Systems

Advanced AI systems for code analysis, binary analysis, fuzzing orchestration, and penetration-test planningmay significantly increase the rate at which latent vulnerabilities are discovered. While improved discovery can benefit defenders, it can also overload remediation pipelines and accelerate...

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation

Large language model LLM agents are rapidly moving from conversational interfaces to software components that plan, invoke tools, maintain memory, and act on external environments. This transition changes the nature of security risk. In agentic settings, failures are no longer limited to unsafe...

Hardware-Aware QAOA for Honeypot Traffic Partitioning on 100+ Qubit IBM Quantum Processors

Denial-of-service DoS and distributed denial-of-service DDoS mitigation requires separating malicious traffic from benign traffic while minimizing disruption to legitimate users. Prior work proposed mapping honeypot traffic partitioning to a weighted MaxCut problem and solving the resulting graph...

Ternary Public-Key Cryptosystem

Public-key cryptosystems eliminate the requirement for pre-shared secret keys by enabling encryption with a publicly disclosed key and decryption with a corresponding private key. In this article we generalize the public-key cryptosystems to ternary algebraic structures, with particular attention...

Lost in Migration: Exposing Android Framework Vulnerabilities in Parallel Java-Kotlin Implementations

Android has adopted Kotlin alongside Java across apps and core system components. During this shift, we observe parallel implementations in the Android Open Source Project AOSP where the same component is implemented in both Java and Kotlin. In principle, their functional purposes are identical. ...

MCPJam Inspector 1.4.2 Defensive API Security Assessment Tool

This Python-based defensive auditing tool evaluates the exposure and security posture of MCP-related API endpoints in a controlled and authorized environment. It is designed to assist security teams in identifying insecure API configurations, exposed execution interfaces, and potential operationa...

Remote Sunrise Helper for Windows GUI Boundary / Access Control Integrity Auditor

This is a script that tests GUI boundary and access controls in Remote Sunrise Helper for Windows. It launches the application, waits for the target window, and provides manual testing guidance. It does not validate process-boundary handling by itself, does not target any specific known...

CLIF: Cross-Layer LEO-ISL Fingerprinting for Physical and Network Attack Detection in Dense LEO Constellations

Low-Earth Orbit LEO mega-constellations such as Starlink by SpaceX and Kuiper by Amazon rely on optical Inter-Satellite Links ISLs for autonomous mesh routing to provide low-latency telecommunication, Internet of Things IoT, and security services globally. As commercial operators and governments...

angr 9.2.220

angr is an open-source binary analysis platform for Python. It combines both static and dynamic symbolic "concolic" analysis, providing tools to solve a variety of tasks...

High-Precision APT Malware Attribution with Out-Of-Scope Resilience

Early attribution of Advanced Persistent Threat APT activity can help defenders prioritise investigation, select countermeasures, and reduce the impact of an intrusion. Malware provides useful attribution evidence, but automated APT malware attribution remains difficult in practice. Existing...

Operationalizing Cyber Attack Prediction: A Gap-Prioritized Framework with Dataset and Model Selection Guidelines

While AI and machine learning for cyber attack prediction have advanced, a critical gap persists between theoretical research and practical operational deployment. Building on Ankalaki et al. 2025, this paper provides a comprehensive analysis of 150+ benchmark datasets and 200+ studies to identif...

Domain-Conditioned Safety in Frontier Computer-Using Agents: A 793-Episode Browser Benchmark, a Coding-Domain Cross-Reference, and a Reproducibility Audit of Recent Red-Teaming

Recent computer-using-agent CUA red-teaming papers report prompt-injection attack success rates ASR of 42-98%, but these headline numbers cluster on retired models and on the most-vulnerable model in each paper's panel. We ask whether those techniques, reproduced as hand-crafted templates, still...

Human Factors in Cybersecurity in Icelandic Small and Medium-Sized Enterprises

Cybersecurity threats are increasing in all aspects of society due to the integration of digital systems into modern-day life and a volatile geo-political landscape. Technical factors are an ongoing arms race; however, the threat surface from human and social factors is still present, often...

SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents

Autonomous LLM agents increasingly operate in stateful environments where they access tools, files, memory, and external services. While such capabilities enable complex real-world workflows, they also introduce security risks that are difficult to capture with existing evaluations. Current agent...

KubeSec V1 Kubernetes Scanner

KubeSec is a Kubernetes security auditing tool designed to identify dangerous RBAC permissions, insecure pod configurations, exposed secrets, privileged workloads, risky host mounts, weak network exposure, and cluster hardening weaknesses across Kubernetes environments. performs automated read-on...

On the Evaluation of Spiking Neural Network Configurations for Network Intrusion Detection

Network intrusion detection is a core component of modern cybersecurity infrastructure, yet the deep learning models that dominate the field are computationally demanding, motivating interest in lightweight alternatives suited to edge and neuromorphic deployment. Spiking Neural Networks SNNs are...

Optimal Routing and Link Configuration for Covert Heterogeneous Wireless Networks in the Presence of a Friendly Jammer

In modern radio networks, nodes frequently access multiple communication interfaces such as WiFi, cellular, LoRa, and Zigbee. Optimal utilization of such heterogeneous networks HetNets at link and network levels is essential for ensuring efficient and secure communication. Some applications requi...

Stochastic Analysis of Cybersecurity Defense Strategies under Single Attack Scenario

This research presents a novel stochastic framework for proactive cybersecurity defense timing under a single attack scenario. The approach models the defense process as a continuous observation mechanism in which the defense instant and the subsequent observation slot follow independent...

Information Security in Small-Scale Protests: Surveillance of Ugandan Anti-EACOP Protesters

We examine the information security practices of Ugandan climate activists protesting the development of the East African Crude Oil Pipeline EACOP. We conducted five-week fieldwork in Kampala, Uganda, which included interviews with 13 anti-EACOP activists. Through an inductive analysis, we report...

Cybersecurity AI (CAI) Dataset

We present CAI Dataset, a fourteen-month corpus of cybersecurity LLM trajectories collected through the open-source CAI agent framework, built in response to PentestGPT's finding that expert operator trajectories, not base-model capability, are the bottleneck for cybersecurity LLM performance. CA...

Evolving Skill-Structured Attack Memory Enhances LLM Jailbreaking

Jailbreak attacks on large language models LLMs aim to induce LLMs to produce content that they are expected to refuse. Automated black-box jailbreak generation is especially important for safety evaluation, where the attacker observes only model outputs and needs to automatically search for...

Technical Report: Exploring the Emerging Threats of the Agent Skill Ecosystem

We analyzed 3,984 AI agent skills from major marketplaces and found 76 confirmed malicious payloads, including credential theft, backdoor installation, and data exfiltration. 13.4% of all skills contain at least one critical-level security issue and at least 8 manually confirmed malicious skills...

Unlocking Apple's Private Cloud Compute: An Analysis of Privacy-Preserving Artificial Intelligence

Many existing Artificial Intelligence AI solutions on mobile devices rely on an extensive collection of sensitive data, raising privacy concerns and often requiring storage for both context and model improvement. Apple's Private Cloud Compute PCC aims to address this by emphasizing mobile device...

angr 9.2.217

angr is an open-source binary analysis platform for Python. It combines both static and dynamic symbolic "concolic" analysis, providing tools to solve a variety of tasks...

A First Measurement Study on Authentication Security in Real-World Remote MCP Servers

The Model Context Protocol MCP is emerging as a common interface connecting large language models LLMs with external services. Remote deployments are becoming increasingly important as agents connect to user-linked online services, such as social, productivity, and financial services. In such...

Botnet Detection on CTU-13 Using Lightweight Machine Learning Models

Botnets are among the most persistent cyber threats, enabling large-scale attacks such as spam, credential theft, and distributed denial-of-service DDoS. While deep learning approaches have recently been applied to botnet detection, they are computationally intensive and often lack...