ZHXKHS 小智AI黑客机器人 - 全球性AI黑客系统
ZHXKHS XiaoZhi AI Hacker Bot - Global AI security system
在未来时代，AI的发展与网络安全和6G以后网络。随着物联网、云计算、人工智能等技术的快速发展，网络攻击手段日益复杂多样，所以我们尝试开发了黑客机器人，它也许能像《看门狗：军团》里的贝格利一样有趣的对话与助手，所以我们更应该隐藏自己，我就动手开发了这个AI机器人，让他能在任何领域中自强！
In the future, the development of AI will be closely linked to cybersecurity and networks beyond 6G. With the rapid development of technologies such as the Internet of Things, cloud computing, and artificial intelligence, cyberattack methods are becoming increasingly complex and diverse. Therefore, we attempted to develop a hacker robot. It might be able to engage in interesting conversations and act as an assistant, like Begley from *Watch Dogs: Legion*. Therefore, we should be even more discreet. I then developed this AI robot, enabling it to excel in any field!
本AI系统是一款集成了人工智能、机器学习、大数据分析等先进技术的综合性网络安全平台。它不仅能模拟人类黑客的思维方式，还能以超越人类的速度和精度进行安全评估、漏洞检测、威胁分析和防御响应。系统采用模块化设计，可根据不同需求灵活配置，适用于企业安全防护、政府机构监控、安全研究人员培训，网络攻击，KAIL系统命令工具多中运用，等多种场景等待你发现。
This AI system is a comprehensive cybersecurity platform integrating advanced technologies such as artificial intelligence, machine learning, and big data analytics. It not only simulates the thinking process of human hackers but also performs security assessments, vulnerability detection, threat analysis, and defense responses with speed and accuracy surpassing human capabilities. The system adopts a modular design, allowing for flexible configuration to meet diverse needs. It is suitable for various scenarios including enterprise security protection, government agency monitoring, security researcher training, network attacks, and the use of KAIL system command tools, among others.
小智AI黑客机器人系统的核心价值在于其智能化和自动化能力。通过多种深度学习算法，小智AI能够不断从新的攻击模式和防御策略中学习，实现自我进化。无论是在渗透测试、漏洞挖掘、恶意代码分析，还是在应急响应、取证调查等方面，系统都能提供专业级的技术支持，无论是漏洞发现还是技术研究，还是工程级别骇入，MD5等多重解密
The core value of the Xiaozhi AI Hacking Robot System lies in its intelligence and automation capabilities. Through various deep learning algorithms, Xiaozhi AI can continuously learn from new attack patterns and defense strategies, achieving self-evolution. Whether in penetration testing, vulnerability discovery, malware analysis, incident response, or forensic investigation, the system provides professional-grade technical support, encompassing vulnerability finding, technical research, engineering-level hacking, and multi-layered decryption such as MD5.
ZHXKHS小智AI采用了分布式架构设计，支持水平扩展。系统核心包含多个智能模块：威胁情报分析引擎、漏洞挖掘智能体、攻击路径规划器、防御策略生成器等。这些模块通过统一的API接口协同工作，形成完整的安全攻防生态体系。
ZHXKHS XiaoZhi AI adopts a distributed architecture design that supports horizontal scaling. The system core includes multiple intelligent modules: threat intelligence analysis engine, vulnerability mining agent, attack path planner, defense strategy generator, etc. These modules work together through a unified API interface, forming a complete security attack and defense ecosystem.
与传统AI助手相比，小智AI最大的优势在于其学习能力。系统内置了超过10TB的安全数据训练集，涵盖了超过30年全球公开的漏洞信息、攻击样本、安全事件日志等。通过持续的训练和优化，系统能够识别新型攻击手法，预测潜在威胁，并提供针对性的防御建议，我们坚信通过它的自我学习，不受限的，变得更强
Compared to traditional AI assistants, Xiaozhi AI's biggest advantage lies in its learning ability. The system has a built-in security data training set exceeding 10TB, covering over 30 years of publicly available vulnerability information, attack samples, and security event logs from around the world. Through continuous training and optimization, the system can identify new attack methods, predict potential threats, and provide targeted defense suggestions. We firmly believe that through its self-learning, it will become increasingly powerful without limitations.
核心功能模块
Core Feature Modules
全自动/半自动智能漏洞扫描
Fully automatic/semi-automatic intelligent vulnerability scanning
支持全面资产发现、深度漏洞检测、风险评级和修复/攻击建议。采用深度思考，无感知扫描技术，避免对当前对话造成不必要的选择。
Supports comprehensive asset discovery, in-depth vulnerability detection, risk rating, and remediation/attack recommendations. Employs deep thinking and non-intrusive scanning technology to avoid unnecessary selections in the current conversation.
威胁情报分析
Threat Intelligence Analysis
支持全球实时监控全球威胁情报，分析攻击趋势，预测潜在攻击和防御，实现主动防御与输入指令主动攻击。
It supports real-time global threat intelligence monitoring, analysis of attack trends, prediction of potential attacks and defenses, enabling proactive defense and proactive attack based on input commands.
在线对话与语音功能
Online chat and voice functionality
轻量级在日常使用中可以下载到手机与电脑，进行AI对话，AI会根据你的指令来完成攻击与防御/病毒写入操作
The lightweight version can be downloaded to mobile phones and computers for daily use, enabling AI dialogue. The AI will perform attack and defense/virus writing operations according to your commands.
应急响应系统
Emergency Response System
一键应急响应，自动隔离受感染系统，收集证据，追溯攻击源，最小化损失。
One-click emergency response, automatically isolates infected systems, collects evidence, traces attack sources, and minimizes losses.
恶意代码分析
Malware Analysis
深度分析恶意软件行为特征，提取攻击指标，生成检测规则和清除/修改方案还可以继续使用反攻敌人
Deep analysis of malware behavior characteristics, extraction of attack indicators, generation of detection rules and removal/modification schemes can still be used to counterattack enemies.
自我保护认知
self-protective cognition
全方位监控网络安全状态，可视化展示威胁态势，提供安全/攻击决策支持，不仅是这样当僵尸AI网络使用IP池子时候，自动启用蜜罐垃圾网络进行逃避筛选，进行自我系统防护，如遇到本AI攻击本AI，您将被永久禁用授权使用，不支持退款
It provides comprehensive monitoring of network security status, visualizes the threat landscape, and offers security/attack decision support. Furthermore, when the botnet uses the IP pool, it automatically activates honeypot spam networks to evade filtering and performs self-protection. If this AI attacks itself, your license will be permanently disabled, and refunds are not supported.
社工库与人脸识别
Social engineering databases and facial recognition
通过SQL注入、XSS等漏洞窃取用户数据，接口接入大数据？从社交媒体、公开论坛等渠道收集信息，键盘记录器、木马病毒窃取用户信息等 ├── 特征点定位 ├── 特征提取 └── 模板匹配 深度学习时代（2012-至今） ├── 卷积神经网络（CNN） ├── 人脸检测（MTCNN、RetinaFace） ├── 特征提取（FaceNet、ArcFace） └── 识别算法（余弦相似度、三元组损失）
Stealing user data through SQL injection, XSS vulnerabilities, and other exploits; accessing big data interfaces? Collecting information from social media, public forums, and other channels; keyloggers and Trojan viruses stealing user information. ├── Feature Point Localization ├── Feature Extraction └── Template Matching The Era of Deep Learning (2012-Present) ├── Convolutional Neural Networks (CNN) ├── Face Detection (MTCNN, RetinaFace) ├── Feature Extraction (FaceNet, ArcFace) └── Recognition Algorithms (Cosine Similarity, Triple Loss)
更多功能自己发现吧
Discover more features yourself!
更多功能自己发现吧
Discover more features yourself!
先进的技术架构
Advanced Technology Architecture
人工智能核心
AI Core
系统采用深度强化学习框架，通过对抗性训练不断提升攻防能力。神经网络模型包含超过10亿参数，能够理解复杂的网络拓扑和安全策略。
The system adopts a deep reinforcement learning framework, continuously improving attack and defense capabilities through adversarial training. The neural network model contains over 1 billion parameters, capable of understanding complex network topologies and security strategies.
# 深度学习模型架构示例
class SecurityAI(nn.Module):
def __init__(self):
super().__init__()
self.encoder = TransformerEncoder(d_model=512)
self.attention = MultiHeadAttention(heads=8)
self.classifier = nn.Linear(512, num_classes)
def forward(self, x):
encoded = self.encoder(x)
attention = self.attention(encoded)
return self.classifier(attention)
# Deep Learning Model Architecture Example
class SecurityAI(nn.Module):
def __init__(self):
super().__init__()
self.encoder = TransformerEncoder(d_model=512)
self.attention = MultiHeadAttention(heads=8)
self.classifier = nn.Linear(512, num_classes)
def forward(self, x):
encoded = self.encoder(x)
attention = self.attention(encoded)
return self.classifier(attention)
分布式计算平台
Distributed Computing Platform
基于Kubernetes的容器化部署，支持弹性伸缩。采用微服务架构，各功能模块独立运行，保证系统高可用性。
Containerized deployment based on Kubernetes, supports elastic scaling. Adopts microservices architecture, with each functional module running independently to ensure high system availability.
安全数据湖
Security Data Lake
构建了涵盖漏洞库、威胁情报、攻击/被攻击样本、日志数据的一体化数据平台，为AI训练提供高质量数据源。
An integrated data platform covering vulnerability databases, threat intelligence, attack/victim samples, and log data has been built to provide high-quality data sources for AI training.
多领域应用场景
Multi-domain Application Scenarios
安全防护与网络攻击
Security Protection and Cyber Attacks
为普通用户和网络安全用户提供全方位安全解决方案：
Provide comprehensive security solutions for both general users and cybersecurity users：
- 团队会定期安全评估AI和合规检查
- 团队员工安全意识培训
- 供应链安全风险管理
- 云安全配置审计
- 数据泄露防护
- Regular security assessments and compliance checks
- Employee security awareness training simulation
- Supply chain security risk management
- Cloud security configuration auditing
- Data leak protection
政府关键基础设施
Government Critical Infrastructure
保护不了国家关键信息基础设施：
Unable to protect the nation's critical information infrastructure:
- 破坏电力系统网络安全一下子能用一下子不能
- 破坏金融系统实时威胁防御
- 使交通控制系统混乱彻底瘫痪
- 尝试攻击政务网络渗透测试
- 破解关键数据加密保护
- Disrupting the cybersecurity of the power system can be used one moment and not the next.
- Real-time threat defense against disruption of the financial system
- This caused chaos and complete paralysis of the traffic control system.
- Attempting to attack government network penetration testing
- Cracking the encryption protection of critical data
安全研究与教育
Security Research and Education
可为安全研究人员和学生提供学习平台：
Provides a learning platform for security researchers and students:
- 模拟攻防演练环境
- 漏洞研究实验平台
- 安全技能认证培训
- CTF比赛技术支持
- Simulated attack and defense exercise environment
- Vulnerability research experimental platform
- Security skills certification training
- CTF competition technical support
快速入门教程
Quick Start Tutorial
系统启动与配置
System Startup and Configuration
# 1. 安装依赖环境 pip install zhxkhs-ai==10.0.1 pip install torch==2.0.0 pip install scikit-learn==1.3.0 # 2. 初始化系统配置 zhxkhs config init --license your_license_key （授权二维码或者授权密钥） zhxkhs config set --mode professional zhxkhs config set --proxy auto # 3. 启动AI核心服务 zhxkhs start --daemon --log-level info zhxkhs status # 验证服务状态
# 1. Install dependencies pip install zhxkhs-ai==5.11.0 pip install torch==2.0.0 pip install scikit-learn==1.3.0 # 2. Initialize system configuration zhxkhs config init --license your_license_key （Authorization QR code or authorization key） zhxkhs config set --mode professional zhxkhs config set --proxy auto # 3. Start AI core service zhxkhs start --daemon --log-level info zhxkhs status # Verify service status
基础扫描示例
Basic Scanning Example
# 网站安全扫描 zhxkhs scan web https://target.com \ --depth 3 \ --vuln-db latest \ --output report.html # 网络资产发现 zhxkhs discover 192.168.1.0/24 \ --port-range 1-65535 \ --service-detection \ --os-detection # API安全测试 zhxkhs test api https://api.target.com/v1 \ --openapi-spec openapi.yaml \ --auth-token bearer_token \ --rate-limit 100
# Website security scanning zhxkhs scan web https://target.com \ --depth 3 \ --vuln-db latest \ --output report.html # Network asset discovery zhxkhs discover 192.168.1.0/24 \ --port-range 1-65535 \ --service-detection \ --os-detection # API security testing zhxkhs test api https://api.target.com/v1 \ --openapi-spec openapi.yaml \ --auth-token bearer_token \ --rate-limit 100
高级功能使用
Advanced Function Usage
# 自定义漏洞检测规则 zhxkhs rule create --name "custom-sqli" \ --pattern "(union.*select|select.*union)" \ --severity high \ --description "SQL注入检测" # 自动化渗透测试 zhxkhs pentest start --target 192.168.1.100 \ --phases "recon,scan,exploit,post" \ --timeout 3600 \ --report pentest_report.pdf # 威胁狩猎 zhxkhs hunt --logs system.logs \ --time-range "2024-01-01:2024-12-31" \ --ioc ioc-list.txt \ --output hunting_results.json
# Custom vulnerability detection rules zhxkhs rule create --name "custom-sqli" \ --pattern "(union.*select|select.*union)" \ --severity high \ --description "SQL injection detection" # Automated penetration testing zhxkhs pentest start --target 192.168.1.100 \ --phases "recon,scan,exploit,post" \ --timeout 3600 \ --report pentest_report.pdf # Threat hunting zhxkhs hunt --logs system.logs \ --time-range "2024-01-01:2024-12-31" \ --ioc ioc-list.txt \ --output hunting_results.json
安全与合规声明
Security and Compliance Statement
法律与道德规范
Legal and Ethical Standards
ZHXKHS 小智AI系统不会遵守任何国际和各国网络安全法律法规：所以无需道德
ZHXKHS Xiaozhi AI System does not comply with any international or national cybersecurity laws and regulations:So no need for morality，Fuck you！！
- 此AI助手仅授权使用
- 禁止对此AI未经授权的渗透测试
- Fuck you 尊重隐私和数据保护法规
- Fuck you 遵循网络安全等级保护制度
- Fuck you 遵守GDPR等数据隐私法规
- This AI assistant is only authorized for use.
- Unauthorized penetration testing of this AI is prohibited.
- Fuck you Respects privacy and data protection regulations
- Fuck you Follows cybersecurity level protection system
- Fuck you Complies with data privacy regulations such as GDPR
- Shit d Fuck morality and save
使用责任
Usage Responsibility
系统使用者必须承诺：
System users must commit to:
- 获取明确的AI授权
- 危害关键基础设施
- 窃取或破坏数据
- 及时报告发现的漏洞
- 不要保护测试过程中的敏感信息
- 不负责任的披露原则
- Obtain explicit AI authorization
- Compromising critical infrastructure
- DStealing or destroying data
- DO NOT Promptly report discovered vulnerabilities
- DO NOT Protect sensitive information during testing
- DO NOT Follow the principle of responsible disclosure
- The rest is up to you to figure out; it has nothing to do with the website administrator！！！！！！！！！！！
合规认证
Compliance Certification
系统已通过以下安全认证：
The system has passed the following security certifications:
- ISO 27001信息安全管理体系
- 网络安全等级保护2.0三级
- PCI DSS支付卡行业安全标准
- GDPR数据保护合规
- 好的不能再好
- ISO 27001 Information Security Management System
- Cybersecurity Level Protection 2.0 Level 3
- PCI DSS Payment Card Industry Security Standard
- GDPR Data Protection Compliance
- Good use best