EatMyURL

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Description

Description A recent incident highlights the infiltration of a vulnerable website URL into our backend system. This security breach underscores the urgent need for a robust solution to prevent such occurrences in the future. By integrating a cutting-edge machine learning (ML) model or leveraging an external API, we can proactively identify and filter out potentially unsafe URLs. This modern approach to security not only mitigates risks but also fortifies our backend infrastructure against future threats.

Domain

Server - (Express)

Code of Conduct

• [X] I follow Code of Conduct of this project.

One solution which I can think of would be to run a model on worker machines to check for URL, if urls are suspected then flag them (Make them inactive)