routeros-scanner - Tool to scan for RouterOS (Mikrotik) forensic arti

项目说明

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RouterOS Scanner

Forensics tool for Mikrotik devices. Search for suspicious properties and weak security points that need to be fixed on the router.

This tool’s functionalities include the following:

Get the of the device and map it to CVEs

Check for scheduled tasks

Look for traffic redirection rules

Look for DNS cache poisoning

Look for default ports change

Look for non-default users

Look for suspicious files

Look for proxy, socks and FW rules

Executing and arguments

This tool requires Python 3.8 or later.

Install required Python packages

pip install -r requirements.txt

The arguments:

args | Description | Must / Optional
-----------| ------------------------------------------------------------------------------| -------------------
-i | The tested Mikrotik IP address | Must
-p | The tested Mikrotik SSH port | Optional
-u | User name with admin Permissions | Must
-ps | The password of the given user name (empty password by default) | Optional
-J | Print the results as json format (prints txt format by default) | Optional
-concise | Print a shortened text output focusing on recommendations and suspicious data | Optional
-update | Update the CVE Json file (the file is updated automatically if it hasn't been updated in the last month)| Optional

Executing examples:

./main.py -i 192.168.88.1 -u admin
./main.py -i 192.168.88.1 -p 22 -u admin
./main.py -i 192.168.88.1 -p 2000 -u admin -ps 123456
./main.py -i 192.168.88.1 -p 2000 -u admin -ps 123456 -J

Output:

The output includes 3 sections for each test:
1. raw data - all the data we search in.
2. suspicious - things we found out as suspicious - should be checked if they are legitimate or malicious.
3. recommendation - things we found out as weak security points and recommendations for fixing them.

More info & solution:

Researchers de this forensic tool while in how MikroTik devices are used in Trickbot C2 infrastructure.
You can read more about the research here.

Microsoft Defender for IoT is an agentless network-layer security solution that allows
organizations to continuously monitor and disco, detect threats, and manage in their IoT/OT
and Industrial Control Systems (ICS) devices, on-premises and in Azure-connected en.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit

When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct.
For more information see the Code of Conduct FAQ or
contact with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
trademarks or logos is subject to and must follow
Microsoft's Trademark & Brand Guidelines.
Use of Microsoft trademarks or logos in modified of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.

Legal Disclaimer

Copyright (c) 2018 Microsoft Corporation. All rights reserved.

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.

项目信息

开发语言：Python

Star 数：984

技术要点

该项目属于漏洞知识库方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Tool to scan for RouterOS (Mikrotik) forensic artifacts and vulnerabilities.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。