This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Most scanners flag anything suspicious and leave you to sort out what's real. Mugiwara proves it instead. It generates a proof-of-concept exploit, runs it in an isolated container, and only marks a finding verified if the attack actually works. For verified issues, an AI patches a disposable copy and we re-run the same exploit to confirm it's blocked. Everything runs locally-your code never leaves your machine. V0: injection classes in Python. Feedback welcome, especially on false positives.
Hey Product Hunt 👋
This started as a joke. We asked a few friends if we could scan their GitHub repos, and almost every one had a real security hole sitting in it. Not bad developers -just the shortcuts all of us take at 2am.
What bothered us wasn't that the holes existed. It's that the tools meant to catch them are so noisy nobody reads the output. Two hundred warnings, most of them wrong, so you stop looking.
So we built MUGIWARA around one idea: don't report it unless you can prove it. It writes a proof-of-concept exploit, runs it inside an isolated container, and only calls something a vulnerability if the attack actually lands. Then an AI patches a disposable copy and we re-run the same exploit to check the fix genuinely holds.
Everything runs on your own machine, model included.
This is V0, built as students over the last few weeks. We'd love feedback, especially from anyone who's stopped trusting their security tooling — what would it take to earn that back?
Try it here - https://dashboard-seven-self-13....
Happy to answer anything in the comments 🏴☠️
verified exploit beats another red flag in a dashboard 🔥 js support next?
Really appreciate you checking it out! 🙌 We’ve been putting a lot of work into making the scanning experience as straightforward as possible.
Thanks for trying it! One of our main goals with Mugiwara is making API security testing accessible without requiring developers to be security experts first.
About Mugiwara Security on Product Hunt
“Proves vulnerabilities before reporting them.”
Mugiwara Security was submitted on Product Hunt and earned 16 upvotes and 11 comments, placing #22 on the daily leaderboard. Most scanners flag anything suspicious and leave you to sort out what's real. Mugiwara proves it instead. It generates a proof-of-concept exploit, runs it in an isolated container, and only marks a finding verified if the attack actually works. For verified issues, an AI patches a disposable copy and we re-run the same exploit to confirm it's blocked. Everything runs locally-your code never leaves your machine. V0: injection classes in Python. Feedback welcome, especially on false positives.
Mugiwara Security was featured in Developer Tools (519k followers), Artificial Intelligence (478.1k followers), GitHub (41.4k followers) and Security (2.9k followers) on Product Hunt. Together, these topics include over 236.9k products, making this a competitive space to launch in.
Who hunted Mugiwara Security?
Mugiwara Security was hunted by Diksha Vashistha. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Diksha Vashistha