Finding automated login patterns

Analyze login velocity, tools, network types, and status codes to investigate credential stuffing.

Inside the project

Research showcase

Use timestamps, hashed identifiers, network metadata, and status codes.

Saved artifacts · click to inspect

Open the source notebook in Jupyter, Colab, or the environment described in the README. Data and model downloads may be required.

git clone https://github.com/eforus-overseer/Credential-Stuffing-Detection-Framework.git

Source links point to the original public repository. Credit belongs to the project authors and the dependencies credited there.