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首页 分类列表 防护思路 Jejak_kuluk - Jejak_Kuluk (I…
防护思路
作者:admin 发布:2026-10-06

Jejak_kuluk - Jejak_Kuluk (Indonesian for "Trace Footsteps") is

项目说明Jejak_KulukCreated by: Wayan_Choir De by: Hornet Selem Team License: MIT : 1.0.3---🛡️ DescriptionJejak_Kuluk (Indonesian for "Trace Footsteps…
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项目说明

Jejak_Kuluk

Created by: Wayan_Choir
De by: Hornet Selem Team
License: MIT
: 1.0.3

---

🛡️ Description

Jejak_Kuluk (Indonesian for "Trace Footsteps") is a powerful all-in-one defensi CLI tool designed for Linux system administrators and security professionals. It monitors, analyzes, and fingerprints every action on your server to help detect intrusions, failed logins, brute-force attacks, suspicious network activity, and abnormal running processes.

Built with a hacker-themed dark terminal design, Jejak_Kuluk provides real-time security insights, historical forensic analysis, and an interacti similar to htop for process anomaly detection.

---

✨ Features

| Category | Description |
|----------|-------------|
| 🔍 Log Analyzer | Parse and analyze logs from /var/log/auth.log, syslog, nginx, and custom sources |
| 🧠 Anomaly Detection | Detect failed logins, brute-force attempts, SSH abuse, and suspicious access patterns |
| 🌐 IP & Geo Lookup | Display IP origin with country, city, and ASN/organization information |
| ⚠️ Risk Scoring | Intelligent threat le: 🟩 Safe, 🟨 Suspicious, 🟥 Attack |
| 🕒 Timeline Monitor | Chronological activity tracking in real-time |
| 🚨 Li Mode | Highlight new or unknown IPs with alerts |
| 📜 Fingerprint Capture | Record IP, port, timestamp, username, user-agent, and raw log lines |
| 📊 Dashboard Mode (TUI) | Interacti dashboard using Rich library (htop-style) |
| 🧾 Export Reports | Generate daily reports in JSON or LOG format |
| 🛰️ Network Monitoring | Detect port scans and unusual traffic patterns with Scapy |
| 💾 SQLite Database | Store historical events for forensic analysis and in |
| 👁️ Traceback Mode | In intruder fingerprints using combined log and network data |
| 🧩 Process Anomaly Monitor | Display running processes with CPU/memory usage and risk assessment |

---

🚀 Installation

Prerequisites

  • Python 3.6+

  • Linux system (Ubuntu, Debian, CentOS, etc.)

  • Root/sudo access (for reading system logs and network monitoring)
  • Method 1: Quick Install (One-liner)

    Method 2: Manual Install

    Optional: GeoIP Database

    For IP geolocation features, download the GeoLite2 database:

    ---

    📖 Usage

    Basic Commands

    Command Details

    #### 📊 analyze - Log Analysis

    Parses authentication logs, SSH attempts, sudo commands, and nginx requests. Detects brute-force attacks and suspicious patterns.

    Output:

  • Recent security events table

  • Brute-force attack alerts

  • Risk scores with color coding

  • Geographic information
  • #### 🔴 live - Real-time Monitoring

    Continuously monitors logs and displays new events as they occur.

    Features:

  • Real-time event streaming

  • Automatic database storage

  • Color-coded risk levels

  • Press Ctrl+C to stop
  • #### 🖥️ dashboard - Interacti

    Launches a full-screen TUI dashboard with li.

    Panels:

  • Recent security events

  • Process monitor (top 10)

  • Statistics o

  • Auto-refresh every second
  • #### 🔍 process - Process Anomaly Monitor

    Displays running processes with risk assessment, similar to top or htop.

    Detects:

  • Suspicious process names

  • High CPU/memory usage

  • Unusual network connections

  • Known attack tools (netcat, cryptominers, etc.)
  • #### 🕵️ trace - Intruder Fingerprinting

    In specific IP addresses or lists high-risk attackers.

    Shows:

  • Total events from IP

  • Geographic location

  • Event timeline

  • Attack patterns

  • Attempted usernames
  • #### 📤 export - Report Generation

    Exports security data for compliance, auditing, or analysis.

    ---

    🗂️ Project Structure

    Database Schema

    events table:

  • id, timestamp, e, ip_address, username

  • port, country, city, risk_score, raw_log, fingerprint
  • process_anomalies table:

  • id, timestamp, pid, name, cpu_percent

  • memory_percent, connections, risk_level
  • ---

    🎨 Screenshots

    Analyze Mode

    Process Monitor

    ---

    🔧 Configuration

    Jejak_Kuluk works out of the box with sensible defaults. Ad users can modify:

  • Log paths: Edit log_paths dictionary in LogAnalyzer class

  • Risk thresholds: Modify _calculate_risk() method

  • Brute-force detection: Adjust threshold in detect_brute_force()

  • Suspicious patterns: Update suspicious_patterns in ProcessMonitor
  • ---

    🤝 Contributing

    We welcome contributions from the community! Here's how you can help:

    Ways to Contribute

    1. Report Bugs: Open an issue describing the bug and steps to reproduce
    2. Feature Requests: Suggest new features or impro
    3. Code Contributions: Submit pull requests with bug fixes or new features
    4. Documentation: Impro, add examples, or create tutorials
    5. Testing: Test on different Linux distributions and report compatibility

    De Guidelines

    Code Style

  • Follow PEP 8 Python style guidelines

  • Add docstrings to all functions and classes

  • Include comments for complex logic

  • Maintain the single-file architecture

  • Test with sudo pri where required
  • ---

    🐛 Known Issues

  • GeoIP Database: Requires manual download for full geolocation features

  • Scapy Permissions: Network monitoring requires root/sudo access

  • Log Access: Reading system logs requires appropriate permissions

  • Python 3.6+: Not compatible with Python 2.x
  • ---

    📋 Requirements

    Required Libraries

    Optional Libraries

    Install All Dependencies

    ---

    🔒 Security Considerations

  • Run with Caution: This tool requires elevated pri to read system logs

  • Database Security: The SQLite database (~/.jejak_kuluk.db) contains sensiti data

  • Network Monitoring: Scapy packet capture may impact network performance

  • False Positives: Review alerts carefully; not all flagged activity is malicious

  • Legal Compliance: Ensure monitoring complies with your organization's policies
  • ---

    📜 License

    MIT License

    Copyright (c) 2024 Wayan_Choir & Hornet Selem Team

    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:

    The abo notice and this permission notice shall be included in all
    copies or substantial portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
    SOFTWARE.

    ---

    🌟 Credits

    Created by: Wayan_Choir
    De by: Hornet Selem Team
    Contributors: Open Source Community

    Special Thanks

  • Rich Library: For beautiful terminal formatting

  • psutil: For cross-platform process utilities

  • Scapy: For powerful packet manipulation

  • GeoIP2: For IP geolocation services
  • ---

    📞 Support

  • Issues: GitHub Issues

  • Discussions: GitHub Discussions

  • Email:
  • ---

    🚀 Roadmap

  • [ ] Web-based dashboard interface

  • [ ] Email/

  • [ ] Integration with SIEM systems

  • [ ] Machine learning-based anomaly detection

  • [ ] Docker container support

  • [ ] Multi-ser

  • [ ] Custom rule engine

  • [ ] Plugin architecture
  • ---

    📊 Statistics

    !GitHub stars
    !GitHub forks
    !GitHub issues
    !GitHub license
    !Python

    ---

    ⭐ If you find Jejak_Kuluk useful, please star the repository!

    🤝 Contributions are welcome! Help us make ser better for e.

    ---

    项目信息

    开发语言:Python

    Star 数:1

    技术要点

    该项目属于防护思路方向的开源资源,代码结构清晰,适合安全研究人员学习参考。项目围绕Jejak_Kuluk (Indonesian for "Trace Footsteps") is a powerful all-in-one defensive cybersecurity CLI tool designed for Linux system administrators and security professionals. It monitors, analyzes, and fingerprints every action on your server to help detect intrusions, failed logins, brute-force attacks, suspicious network activity, etc.展开,提供了可运行的实现,对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

    从技术实现角度看,此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论,梳理项目的初始化流程、核心模块职责与数据流转,逐步掌握其中的技术细节与设计思路。

    使用与学习建议

    1. 下载源码压缩包,解压到本地环境。

    2. 根据项目类型准备对应的运行环境与依赖。

    3. 按照 README 中的步骤完成配置与部署。

    4. 在隔离的测试环境中运行验证,避免影响生产系统。

    免责声明

    本资源来源于开源社区,仅供安全研究、技术学习与合法授权范围内的攻防演练使用,请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。

    资源标题Jejak_kuluk - Jejak_Kuluk (Indonesian for "Trace Footsteps") is
    所属分类防护思路
    发布作者admin
    发布时间2026-10-06 00:31:04
    下载权限 免费下载
    附件数量2 个下载链接
    浏览次数526
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    主题状态正常讨论中

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