SentinelLite-Security-Log-Analyzer - A Python-based defensive security log analyzer tha

项目说明

\# SentinelLite — Security Log Analyzer

A lightweight defensi analytics tool that transforms raw security events into prioritized alerts.

\## O

SentinelLite is a Python-based security log analysis project. It processes structured security events, applies transparent detection logic, assigns risk scores, and produces analyst-friendly reports.

All included data is synthetic and intended for educational and portfolio purposes.

\## Detection Workflow

Security Events

  ↓

Event Parsing

  ↓

Detection Rules

  ↓

Risk Scoring

  ↓

Prioritized Alerts

  ↓

JSON / CS

\## Current Detection Logic

\- Failed logon events

\- Repeated failed logons from the same source

\- Encoded PowerShell execution indicators

\## Project Structure

SentinelLite/

├── data/

│ └── sample\_events.jsonl

├── reports/

│ ├── alerts.csv

│ └── alerts.json

├── src/

│ └── analyzer.py

├── tests/

│ └── test\_analyzer.py

├── .gitignore

└── README.md

\## Run the Analyzer

```powershell

python .\\src\\analyzer.py

Run Tests

python -m unittest discover -s tests

Security Notes

Detection output represents an initial analytical signal and should always be in in context. A detected pattern alone does not pro activity.

Skills Demonstrated

Python Automation

Security Log Analysis

Detection Engineering

Risk Scoring

CSV and JSON Reporting

Software Testing

Git and GitHub

Author

Muhammad Rayyan

Cybersecurity Student | Blue Team \& Security Automation Enthusiast

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A Python-based defensive security log analyzer that detects suspicious activity, prioritizes alerts using risk scoring, and generates JSON and CSV reports.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。