BloodHound

BloodHound 是一个单体 Web 应用程序，由嵌入的 React 前端（使用 Sigma.js）和基于 Go 的 REST API 后端组成。它部署了 Postgresql 应用数据库和 Neo4j 图数据库，并由 SharpHound 和 AzureHound 数据收集器提供数据。 BloodHound 利用图论揭示身份和访问管理系统中隐藏且通常非预期的关系。由 OpenGraph 驱动，BloodHound 现已支持超越 Active Directory 和 Azure 环境的全面分析，使用户能够映射跨多种身份平台的复杂权限关系。攻击者可以利用 BloodHound...

BloodHound-Legacy

BloodHound 传统版 v4 已弃用 此仓库用于 BloodHound 传统版（版本 4），该版本最后更新于 2023 年，现已不再维护。它将在近期归档。 请使用新版 BloodHound Community Edition BloodHound 传统版已被免费的 BloodHound Community Edition 取代： BloodHound Community Edition GitHub 仓库 安装指南 完整文档 BloodHound 由 @wald0、@CptJesus 和 @harmj0y 创建。 BloodHound 由 BloodHound Enterprise...

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

CVE-2025-1234-RSA密钥验证绕过 一个流行的RSA实现中的漏洞允许攻击者通过提供看似有效但实际上可分解的模数来绕过密钥验证——前提是你能够快速分解它。 CVE‑2025‑1234 — RSA密钥验证绕过利用 使用ctt-pnp-solver在几秒内分解易受攻击的RSA模数的概念验证利用。 影响 该利用证明，通过使用汇合时间理论的多项式时间分解，CVE‑2025‑1234是实际可利用的 。 受影响系统： 具有弱密钥验证的TLS实现 使用静态RSA密钥的嵌入式设备 具有可分解模数的代码签名证书 要求 Python 3.8+ ctt-pnp-solver pip install...

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

-CTT-PAN-OS-EXPLOIT-CVE-2024-340 CTT-PAN-OS-Exploit – CVE-2024-3400 CVSS 10.0 结合收敛时间理论（Convergent Time Theory）增强。利用 α = 0.0302011 时间色散、33层相位共振级联和11 ns时间楔滤波来利用Palo Alto GlobalProtect命令注入。有效载荷分布在33个时间层中，具有指数优先级 d 以下是 CTT PAN-OS Exploit 的 README 和简短描述： 简短描述 CTT-PAN-OS-Exploit – CVE-2024-3400 CVSS 10...

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

Convergente-Tiempo-Teoría-Mejorada-iOS-Safari-RCE-CVE-2025-43529- Exploit de iOS Safari CTT-Mejorado basado en CVE-2025-43529...

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...

Malicious Package

Overview knot-date-utils-rb is a malicious package. This package is part of a malicious cluster of Ruby gems published by the threat actor knot-theory. Designed to impersonate legitimate utilities, it executes a payload upon installation that harvests environment variables, SSH keys, AWS...

Malicious Package

Overview knot-devise-jwt-helper is a malicious package. This package is part of a malicious cluster of Ruby gems published by the threat actor knot-theory. Designed to impersonate legitimate utilities, it executes a payload upon installation that harvests environment variables, SSH keys, AWS...

MAL-2026-3630 Malicious code in knot-activesupport-logger (RubyGems)

--- -= Per source details. Do not edit below this line.=- Source: google-open-source-security a4e4f74e90479d472a307d311d48214827e21cf93ecf9b0b62ff2cb72adb2c9e This package is a malicious packages part of the Go BufferZoneCorp and RubyGems knot-theory clusters. The packages in this cluster steal...

Cybercrime and Prevention: Colonel Blotto in Social Engineering

Cybercriminals increasingly target the human factor rather than continuously advancing technological defense mechanisms. Consequently, institutions that allocate substantial resources to strengthening their cybersecurity infrastructure may remain vulnerable if a deceived employee voluntarily...

Information Theoretic Adversarial Training of Large Language Models

Large language models LLMs remain vulnerable to adversarial prompting despite advances in alignment and safety, often exhibiting harmful behaviors under novel attack strategies. While adversarial training can improve robustness, existing approaches are computationally expensive and difficult to...

Strategic Heterogeneous Multi-Agent Architecture for Cost-Effective Code Vulnerability Detection

Automated code vulnerability detection is critical for software security, yet existing approaches face a fundamental trade-off between detection accuracy and computational cost. We propose a heterogeneous multi-agent architecture inspired by game-theoretic principles, combining cloud-based LLM...

Vulnerability Abundance: A Formal Proof of Infinite Vulnerabilities in Code

We present a constructive proof that a single C program, the Vulnerability Factory, admits a countably infinite set of distinct, independently CVE-assignable software vulnerabilities. We formalise the argument using elementary set theory, verify it against MITRE's CVE Numbering Authority counting...

Explainable PQC: A Layered Interpretive Framework for Post-Quantum Cryptographic Security Assumptions

This paper studies how post-quantum cryptographic PQC security assumptions can be represented and communicated through a structured, layered framework that is useful for technical interpretation but does not replace formal cryptographic proofs. We propose "Explainable PQC,'' an interdisciplinary...

Cyber Deception for Mission Surveillance Via Hypergame-Theoretic Deep Reinforcement Learning

Unmanned Aerial Vehicles UAVs are valuable for mission-critical systems like surveillance, rescue, or delivery. Not surprisingly, such systems attract cyberattacks, including Denial-of-Service DoS attacks to overwhelm the resources of mission drones MDs. How can we defend UAV mission systems...

Game-Theoretic Modeling of Stealthy Intrusion Defense against MDP-Based Attackers

The rapid expansion of Internet use has increased system exposure to cyber threats, with advanced persistent threats APTs being especially challenging due to their stealth, prolonged duration, and multi-stage attacks targeting high-value assets. In this study, we model APT evolution as a strategi...