jackaduma/NLP4CyberSecurity

NLP model and tech for cyber security tasks

45
/ 100
Emerging

This project helps cybersecurity professionals analyze various text-based data for potential threats. It takes in text strings like passwords, website URLs, or code snippets and identifies if they are weak, malicious, or part of a phishing attempt. Security analysts, incident responders, or IT managers can use this to enhance their threat detection capabilities.

No commits in the last 6 months.

Use this if you need to automate the identification of cyber threats hidden within text data, such as suspicious URLs, weak passwords, or XSS injection attempts.

Not ideal if you require a comprehensive, ready-to-deploy cybersecurity product rather than a set of individual threat detection models.

cybersecurity threat-intelligence vulnerability-detection security-operations fraud-prevention
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 20 / 25

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Stars

86

Forks

26

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 22, 2023

Commits (30d)

0

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