AI Based e-Mail and Domain Spoofing Detection
In digital day to day life email is one of the most used communication system, but it is also a common entry point for cyberattacks. Email spoofing is one of the most threats to an indivisual or a group, where attackers pretend their emails to make them look like they’re coming from some trusted resources. To overcome this issue, we built an email spoofing detection system that combine machine learning with authentication on mails. TF-IDF is used to show meaningful patterns from the email content and a Random Forest algorithm to classify whether an email is spoofed or not. On top of that, it checks if the sender’s domain is verified using SPF and DMARC records. Emails are accessed securely using the Gmail API and OAuth 2.0, and the results are shown to the user through a simple web interface built with Flask. This analyses both content and origin of mails, thus helps users avoid spoofed messages more accurately and also in real time.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-06-02
- DOI
- https://doi.org/10.5281/zenodo.15573565
- Primary Topic
- Advanced NMR Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00