Automation---Indicators-for-Azure-Microsoft-Defender - Automation Script I created for the use of IT & So

项目说明

Automation - Creating Indicators upload format for Azure Microsoft Defender in seconds

Automation Script I created for the use of IT & Software departments - saves time that can be dedicated to other priorities.

ReadMe

Hey,
IndicatorToCsvXlsx.py is python script which automize the process of updating Azure Microsoft Defender Indicators list.
The National Cyber department often publish a document which includes a list of identifiers/indicators of malicious files/domains/urls/IPs and etc.
Instead of wasting time creating a new CSV file in the format in which azure cloud Defender works with - I created a script which will do it for you.
It saves time and all you need to do after running the scripts is to edit by yourself the "RecommendedActions" because its changes between each published.

Note: you must install pandas openpyxl for the script to run, use the command :
pip install pandas openpyxl

OR:
python -m pip install pandas

pandas is a library used for data manipulation.
openpyxl is used to read and write Excel/cs with '.xlsx' or '.csv' format.

Documentation for pandas:

Syntax & Arguments:

Just run the python script and follow the instruction.
You will choose the output file format you want - "csv" or "xlsx".
When choosing the path to file remember to choose only xlsx/csv file , otherwise the script won't run and will preform exit.

example - how to run the script:
python IndicatorToCsvXlsx.py

Return Value:

The output of this python script is a CS file which built in specific way and structure in aim to upload/append it to the existing Master indicators list.

It might return a error in case you didn't follow the instruction above.

LinkedIn:

GitHub:

Danny Tred

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Automation Script I created for the use of IT & Software departments in purpose to update Azure defender's indicators.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。