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NiceTryGPT
Make CTFs harder to shortcut with LLMs, not humans
NiceTryGPT is an open-source minimal-diff workflow that helps CTF authors reduce cheap LLM shortcuts while preserving the intended vulnerability, learning objective, and human experience.
Hey Product Hunt! 👋
I built NiceTryGPT after noticing how easily some CTF challenges can be shortcut by an LLM simply because the intended vulnerability is exposed through very recognizable patterns.
The idea behind the project is simple:
**Increase uncertainty, not complexity.**
NiceTryGPT is an open-source Agent Skill for CTF authors. It first solves an existing authorized challenge end-to-end, identifies the cheapest LLM shortcut, then applies the smallest useful transformation and verifies the challenge again.
The important constraint is that the human experience should remain essentially the same.
So NiceTryGPT tries to preserve:
• the same vulnerability class
• the same learning objective
• the same prerequisite knowledge
• the same success/flag semantics
• roughly the same human difficulty
The current v0.2.0 includes small working examples for IDOR, path traversal and SQL injection, together with end-to-end tests.
I'm deliberately not claiming that this makes a challenge “AI-proof.” The goal is narrower: reduce shallow pattern-matching shortcuts while keeping CTFs fair and educational for humans.
The project is open source, and the next major milestone is independent multi-model evaluation.
I'd especially love feedback from CTF authors, players and security researchers:
**What kinds of CTF shortcuts have you seen LLMs exploit too easily, and which transformations would still feel fair to a human player?**
Thanks for checking it out! ☕🤖
About NiceTryGPT on Product Hunt
“Make CTFs harder to shortcut with LLMs, not humans”
NiceTryGPT was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #154 on the daily leaderboard. NiceTryGPT is an open-source minimal-diff workflow that helps CTF authors reduce cheap LLM shortcuts while preserving the intended vulnerability, learning objective, and human experience.
On the analytics side, NiceTryGPT competes within Open Source, Developer Tools, GitHub and Security — topics that collectively have 633.1k followers on Product Hunt. The dashboard above tracks how NiceTryGPT performed against the three products that launched closest to it on the same day.
Who hunted NiceTryGPT?
NiceTryGPT was hunted by Aleff. 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.
For a complete overview of NiceTryGPT including community comment highlights and product details, visit the product overview.
Aleff