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This is a software solution being developed for the eRAKSHA 2023 competition. It will provide a way for users to protect themselves against cyberattacks like spam email, phishing attacks etc. Through Machine Learning models, carefully engineered programs and a user-friendly GUI, Unselphish is the in-demand Cybersecurity Solution needed

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Unselphish

This is a software solution being developed for the eRAKSHA 2023 competition. It will provide a way for users to protect themselves against cyberattacks like spam email, phishing attacks etc. Through Machine Learning models, carefully engineered programs and a user-friendly GUI, Unselphish is the in-demand Cybersecurity Solution needed.

Installation

Clone the repository: git clone https://github.com/agnij-dutta/Unselphish.git

Install the dependencies: cd Unselphish pip install -r requirements.txt

Run the app: python main.py

Usage: 1. Scan link (virustotal) 2. Threat report from downloaded email (.eml) 3. Scan singular message 4. Threat report from exported whatsapp chat 5. Scan file (virustotal)

Option:

Unselphish will generate a report based on your choice and given data in the following format:-

[+] LINKS FOUND:

[+] SCANNING FOUND LINKS

[*] LINK REPORT

No. of times url submitted:

Url last analysis stats:

Reported as Malicious:

Mal percent:

LINK REPORT END

[+] No. of links scanned: 1

It is (not) a spam Probability:

VIRUSTOTAL SCAN RESULTS

Blacklisted phrases found times

Blacklisted phrases found:

Link Reported suspicious:

Link Reported malicious:

[**] WARNING!! THIS EMAIL CONTAINS MALICIOUS ATTACHMENTS/LINKS.


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This is a software solution being developed for the eRAKSHA 2023 competition. It will provide a way for users to protect themselves against cyberattacks like spam email, phishing attacks etc. Through Machine Learning models, carefully engineered programs and a user-friendly GUI, Unselphish is the in-demand Cybersecurity Solution needed

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