Project Info
This project did not submit a demo video on Devpost.
Inspiration
We got the name from John's dog, Yeye. She likes sniffing around everywhere. We also thought that a lot of projects here may be exposed to possible security leaks so we wanted to patch them.
What it does
Yeye helps detect security weaknesses and possible breaches from hackathon projects to enterprise level MVP agents. Have Yeye weaponize an indirect prompt injection, expose the $500 unauthorized refund and the customer-PII leak as hard evidence, and patch it with a goal-derived intent guard that's injection-agnostic — zero string-matching, and gated in CI so the hole can't reopen.
How we built it
Using Typescript and HTML
Challenges we ran into
Nothing
Accomplishments we're proud of
Everything
What we learned
A lot
What's next
Have it become software
This project did not link a GitHub repository.
Analysis
No indexed repository for this project, so there are no commit stats to show.
Technology
- HTMLUnchecked
- TypeScriptUnchecked
No repository was indexed for this project, so these Devpost claims have not been checked against code.
AI coding agents
No repository was indexed, so agent usage could not be checked.
Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.
Codebase size
No repository was indexed, so there is no codebase to measure.
This project did not link a GitHub repository, so there is nothing to diagram.
This project did not link a GitHub repository, so its feature claims have not been checked against code.
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