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Sukriti Singh's Projects

blog-service-with-chat icon blog-service-with-chat

A responsive cross-browser, cross-platform real-time blogging application supporting real time blog creation with subscriptions and supported offline access. Supports features like liking and commenting on blog posts as well edit and delete features. Supports bifurcation of admin and member accesses.

blog-service-with-chat-feature icon blog-service-with-chat-feature

A responsive cross-browser, cross-platform real-time blogging application using React, AWS AppSync, GraphQL, DynamoDB supporting real-time blog creation with subscriptions and supported offline access. Supports features like liking and commenting on blog posts as well edit and delete features. Supported bifurcation of admin and member accesses.

chat-application-react icon chat-application-react

Developed a responsive cross-browser, cross-platform real-time chat application supporting one-to-one chats as well as chat rooms and developed REST APIs to handle message filter as well as file uploads to the server. Supported features like new group creation capability, document sharing as well as bifurcation of admin and member accesses. Used react-google-login for authentication.

dspace-angular icon dspace-angular

Angular UI for DSpace 7. See the README below for links to resources and documentation.

exploit-payload-generation-using-angr icon exploit-payload-generation-using-angr

In this project, we use the symbolic execution using angr to analyse x86 binaries which are vulnerable to buffer overflow. We have then used the same to generate a payload for us that will exploit the same. We then used a binary with stack canaries to generate a payload which will evade the protection provided by the canary. Angr is smart enough to create an appropriate payload even if there are variable amount of local variables introduced and hence adjusts as the stack layout changes.

libi icon libi

Libraries' Staff Intranet

online-job-portal icon online-job-portal

Online job portal website using HTML, Javascript, CSS, PHP and Apache. The website supports both types of users employers and job-seekers.

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