Question 1

What is the 推理算法助手?

Accepted Answer

The 推理算法助手 is a tool designed to help users quickly identify and decrypt encryption algorithms. It's available on the UBOS Asset Marketplace.

Question 2

What encryption algorithms does it support?

Accepted Answer

It supports algorithms such as AES, DES, 3DES, SM4, MD5, SHA series (SHA1, SHA256, SHA512, etc.), and SM3.

Question 3

What encryption modes are supported?

Accepted Answer

It supports CBC and ECB modes for algorithms like AES, DES, 3DES, and SM4, and Zero and PKCS7 padding schemes.

Question 4

How do I use the 推理算法助手?

Accepted Answer

You can either run the compiled `.exe` file on Windows or run the Python source code directly, provided you have Python 3.x installed.

Question 5

Where can I find the .exe file or Python source code?

Accepted Answer

The `.exe` file is available in the released compressed package. The Python source code can be cloned or downloaded from the project's repository.

Question 6

How important is the model loading timing?

Accepted Answer

It's crucial. Set breakpoints on requests and load the model when sending packets to increase the success rate. When decrypting the response body, wait for the data packet to complete before loading the model.

Question 7

Is the 推理算法助手 free to use?

Accepted Answer

The tool itself may be available for use under certain licensing terms. However, it utilizes the PyQt5 library, which has both GPL and commercial licenses.

Question 8

Can I use this tool for commercial purposes?

Accepted Answer

Yes, but you may need a commercial license for PyQt5 if you don't want to disclose your source code or if you need specific commercial support.

Question 9

Where can I get more information about PyQt5 licensing?

Accepted Answer

Refer to the PyQt5 official documentation and license files on the Riverbank Computing website.

Question 10

What is UBOS?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform. It allows businesses to orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with their LLM models, and create Multi-Agent Systems.

推理算法助手

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