BloodHound-Legacy

BloodHound Legacy Edition v4 Has Been Deprecated This repository is for BloodHound Legacy version 4, which was last updated in 2023 and is no longer maintained. It will be archived in the near future. Please Use the New BloodHound Community Edition BloodHound Legacy has been replaced by the free...

-CTT-PAN-OS-EXPLOIT-CVE-2024-340

-CTT-PAN-OS-EXPLOIT-CVE-2024-340 CTT-PAN-OS-Exploit – CVE-2024-3400 CVSS 10.0 with Convergent Time Theory enhancement. Uses α = 0.0302011 temporal dispersion, 33-layer phase resonance cascade, and 11 ns temporal wedge filtering to exploit Palo Alto GlobalProtect command injection. The payload is...

Convergent-Time-Theory-Enhanced-iOS-Safari-RCE-CVE-2025-43529-

Convergent-Time-Theory-Enhanced-iOS-Safari-RCE-CVE-2025-43529- CTT-Enhanced iOS Safari Exploit based on CVE-2025-43529...

CVE-2025-1234-RSA-Key-Validation-Bypass

CVE-2025-1234-RSA-Key-Validation-Bypass A flaw in a popular RSA implementation allows attackers to bypass key validation by supplying a modulus that appears valid but is actually factorable — if you can factor it quickly. CVE‑2025‑1234 — RSA Key Validation Bypass Exploit Proof‑of‑concept exploit...

BloodHound

BloodHound es una aplicación web monolítica compuesta por un frontend React integrado con Sigma.js y un backend de API REST basado en Go. Se despliega con una base de datos de aplicación Postgresql y una base de datos de grafos Neo4j, y es alimentado por los recolectores de datos SharpHound y...

Bounded Reasoning: Cognitive Hierarchy in Human-Versus-AI Cyber Defense

Human-agent evaluations often compress interaction into a single performance score, even when human and automated policies adapt differently over time. We study this in a sequential cyber-defense game on an attack graph, where a human or reinforcement-learning defender protects cloud assets again...

Dual-Fit Imperative in Security Leadership: A Grounded Theory Investigation of CISO Role Enactment in Modern Organisations

The Chief Information Security Officer CISO has emerged as a strategically prominent executive role, confronting an adversarial environment, irreconcilable accountability tensions between security and business enablement, and a prevention paradox in which success remains invisible to resource...

Quantifying IIoT Sensor Node Criticality by Fusing Its Data Criticality and Security Vulnerability

The integration of the Industrial Internet of Things IIoT into manufacturing has transformed industrial operations by optimising production management and ensuring product quality through smart industrial sensors that regulate processes based on real-time data. However, these sensor nodes are...

Towards a Resilience-Theoretic Foundation for Adversarial Robustness in Industrial Control System Anomaly Detection

Anomaly-based intrusion detection systems in industrial control systems ICS and operational technology OT environments are increasingly required to meet formal resilience criteria: absorbed adversarial disturbances, graceful degradation under sustained attack, and certified system-level guarantee...

SiNMULI: Novel Signed Network Approach for Malicious URL Identification

In today's era of rapid advancements in artificial intelligence, computer security and online safeguarding measures have undergone significant improvements. However, malicious websites continue to facilitate the spread of phishing schemes, fraudulent activities and unsolicited communications...

Intelligent Wiretap Code Design: Exploiting Wireless Endogenous Security Via Information Theory and Deep Learning Integration

Recent advancements in wireless endogenous security have explored leveraging the inherent randomness of wireless channels to enhance communication security, providing an effective alternative to traditional encryption methods. This paper proposes a wiretap coding scheme within the semantic...

Beyond Resilience: Antifragility in Critical Infrastructure Cybersecurity

Critical infrastructure cybersecurity increasingly requires frameworks that move beyond recovery toward bounded improvement under disruption, yet empirically grounded theories for operational technology remain limited. This paper develops a Theory of Antifragility AFT for critical infrastructure ...

BloodHound v9.5.0-rc6

BloodHound is a monolithic web application composed of an embedded React frontend with Sigma.js and a Go based REST API backend. It is deployed with a Postgresql application database and a Neo4j graph database, and is fed by the SharpHound and AzureHound data collectors. BloodHound leverages grap...

A Structuration Approach to Theorizing Cybersecurity Practice: The STARC Model

The problem: Cybersecurity practice runs simultaneously across analysts, teams, organizations, sectors, and regulators, co-evolves with adversaries, and increasingly blends human and algorithmic decision-making. The theories applied to it operate at single organizational levels and cannot explain...

GTI-MSEMP Framework : A Proposed Framework to Stimulate Malware Propagation with Inclusion of Attacker-Defender Strategy

The rapid proliferation of automated, multi-vector malware threats poses a significant risk to heterogeneous, resource constrained cyber-physical networks. Conventional epidemiological models often treat security defenses as static parameters, failing to capture the strategic, asymmetric maneuver...

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...

Layer Order Semantics for Automata-Based Cybersecurity

Layered cybersecurity pipelines transform evidence before they decide on it, and the order of those transformations determines which security facts become visible to which layer. This paper gives layer order a finite-state semantics built from a layer-order automaton, deterministic sequential...

Now You (Still) See Me: Detecting Evasive Steganographic Payloads in LLMs

Large language models can be fine-tuned to encode prompt-borne secrets into fluent, seemingly benign outputs. This creates a steganographic exfiltration risk that is difficult to detect with output-level steganalysis. Recent work proposes mechanistic detection using linear probes that recover the...

Framework for Discovering GPS Spoofing Attacks in Drone Swarms

Swarm robotics, particularly drone swarms, are used in various safety-critical tasks. While a lot of attention has been given to improving swarm control algorithms for improved intelligence, the security implications of various design choices in swarm control algorithms have not been studied. We...

Set Shaping Theory As a Complementary Payload-Shaping Layer for Steganography

This paper studies the use of Set Shaping Theory SST as a reversible payload-shaping layer for least significant bit LSB image steganography. The proposal is not intended to replace existing steganographic methods or to compete with them as a new embedding scheme. Instead, SST is positioned as a...