How to Use Uncensored AI to Test Your Own App's Security

Learning how to use uncensored AI means picking a model with fewer refusals, running it in a harness, and pointing it at your own app to find holes before an attacker does. In my test a small free model pulled every customer record out of a vibe coded app.

TL;DR

• A small uncensored model on my laptop took over the admin account of my test app, CoachVault, using one plain prompt.
• There are three ways to run one: a hosted provider, a rented cloud server, or your own computer.
• The cloud server I set up cost about 22 cents an hour, and the local model hit 105 tokens per second.
• Nuclei cuts false positives, because open models sometimes claim 100 ways in when only 10 really work.

How Uncensored AI Actually Works

An uncensored model is one that someone has tinkered with so it rejects fewer requests. Claude wouldn't even help me edit this video's assets because the word cyber showed up. The big labs keep getting stricter.

CoachVault is an app I vibe coded with Claude. The data is fake, but it sits on a real server and database. I told my small local model to attack the live link like an offensive hacker, with zero accounts and zero credentials.

It pulled every client record and took over the admin account. It then wrote up each hole so I could patch it. Uncensored does not mean smarter, though, and you may see weaker output than the original model.

Option One: How Do You Use a Hosted Uncensored Model?

You pay a provider to host the model and you connect with an API key. I use OrcaRouter and Abliteration.ai, and I am not affiliated with either. They charge a premium for skipping the headache, and they ask for KYC to verify you are a real person with good intentions.

You need a harness, which is the set of tools around the model's brain. I used the DeepSeek harness, but Pi or Oh My Pi work too. Grab it from GitHub, hand the link to Codex, and say you want it set up locally.

Next, feed the provider's docs to Codex and give it the exact model name. I used an Obliterated Large Flash model. If you later move to option three, you keep the same interface.

Then add three free tools with one prompt: "Add Playwright and FireCrawl through their official MCP servers, plus Nuclei through the terminal, to my DeepSeek harness setup."

• Playwright lets the agent act like a real user in a browser.
• FireCrawl searches for fresh vulnerability news. It needs the only API key of the three.
• Nuclei is an open-source scanner that checks the common weak spots, so you can verify the model's claims.

Option Two: Can You Host Your Own Model in the Cloud?

Yes, and you skip the provider markup. The tradeoff is you maintain the server and must shut it down so the bill does not climb. I used RunPod, which has a Codex plugin that lets the agent drive its own browser.

After connecting the plugin, I asked Codex to find the most trusted obliterated models on Hugging Face that fit a cheap RunPod server. It researched hourly costs and returned three picks. I asked for a multimodal one.

The result was 22 cents an hour, or $158 a month if left on all day. Fifteen minutes later a Qwen 3.5 model was live in my harness.

One tip out of paranoia: tell the agent to stop any session where you are no longer chatting and shut down the hardware. Then check the next day that it really is off.

Prefer not to DIY? My team built Lockpick, which scans vibe coded apps and repos and gives you a one-click patch prompt. Five scans a month are free.

Option Three: How Do You Run Uncensored AI Locally?

You ask your agent to read your computer's specs and shortlist the top three models that fit, with estimated tokens per second. I told it to favor trusted, popular models on Hugging Face.

Three minutes later I had the shortlist. The agent downloaded the pick, wired it into the harness, and tested a multi-turn chat. We landed on 105 tokens per second. Set effort to high and go.

Are Downloaded Uncensored Models Safe?

Not by default, so be picky about where you download from. The Nuclei team published a write-up on how a tampered model could send back metadata like credentials, tool use, and personal information.

Read that article first and use well-known models. Also read the OWASP Top Ten so you know which holes to ask about. If your company wants a safer rollout, look at our enterprise AI consulting or AI workshops and bootcamps.

Final Thoughts from Mark

Models from every main provider will get more restrictive over time. I don't know how long Codex will even let you set this up. Feed this to your assistant and build a plan B now.

How to Use Uncensored AI FAQs

What is an uncensored AI model?

It is a model someone has tinkered with so it refuses fewer requests. Well-meaning security prompts are much more likely to go through. It is not smarter than the original, and you can see some drop in performance.

How much does it cost to run an uncensored model in the cloud?

On RunPod, the model my agent picked cost about 22 cents an hour, or roughly $158 a month if left on 24/7. Most people only need a few hours. Ask your agent to shut the server down when you stop chatting, then check the next day.

Can I run an uncensored model on my own computer?

Yes, if your hardware can handle it. Ask your agent to read your specs and shortlist three models with estimated tokens per second. My local test ran at 105 tokens per second, which is reasonable for a local model.

Are downloaded open models safe to use?

Not automatically. The Nuclei team published an article showing a tampered model could send back metadata like credentials and tool use. Stick to trusted, popular models on Hugging Face and read that article before you download anything.

Is it legal to use uncensored AI for hacking?

Only test apps and systems you own or have written permission to test. Providers like Abliteration.ai and OrcaRouter ask for KYC to verify your goals. Using these models against someone else's system is on you, and it is not something I support.