Instructions (read them carefully)
Sometimes the best way to learn how something works is to see how it breaks. Your task is to
write a report analyzing one hack of a DeFi project or company touching on key ideas we
discussed in class. This article lists major DeFi hacks and the amounts stolen in each one.
Pick one of these events, or another hack you know about, and focus on in your analysis. Try to
learn as much as possible about the project and how it was hacked.
The questions below are meant to guide your analysis of the DeFi hack that you choose. Do not
limit yourself to answering these questions, but make sure to answer all of them. Be creative
and professional, and use your own judgment in determining other relevant issues to be
included in your report. You should include any supporting data exhibits at the end, and are
free to incorporate any external sources you find relevant, as long you credit and properly
reference the source.
1. What is the intended purpose of the project or company that was hacked?
2. Who are the main entities or people leading this project?
3. How large is the project relative to noncrypto firms that have a similar business model?
4. What was stolen by hackers, when, and how? (bring data)
5. What did the hackers do with the loot? (bring data)
6. How did the project’s leadership handle the situation?
7. Did the project survive the hack?
8. Does the hack expose general issues with DeFi that would also affect other projects, or
was it a result of more specific issues with this one project?
9. Can a hack like this ever happen to noncrypto projects? Any examples?
10. Would government regulation of DeFi projects prevent such hacks?
Note that several questions ask you to bring data to answer them fully. This data can come
from many sources, including etherscan.io, other blockchain explorers, crunchbase, or even
from social media (there is an active DeFi community on twitter). You can analyze the data in
whatever software is convenient to you (for example Julia, Excel, Stata, R).
We developed some data science skills using Julia in class. This is optional, but we will give
extra credit to groups that submit a Pluto notebook with their data analysis.
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