future 7/11 intern, making cybersec great again (hopeful). @backroom711 is a neet

Joined May 2026
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Built Mirage. A custom C2 channel built on top of Havoc that hides agent traffic inside a fake website. The agent never talks to the teamserver. The teamserver never talks to the agent. All traffic flows through a fake flask Japanese import shop website. Here is how it actually works There are 3 components repo: github.com/EpicNerdGuy/mirag…
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followed a bunch of cybersec twitter accounts in order to improve my tl
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So after reading a handful of papers on Adversial attacks on neural networks and CNN models. I've decided to make BlindSide: CNN Adversial generator project. In summary, I'll be implementing FGSM and PGD attacks on the ResNet-18 CNN model.
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/var/log/deoxys entry_003 1. Completed an AI CTF challenge 2. Got back into bug bounty, honestly wasn't able to progress that much
Completed my first ever #AISecurityChallenge from @wiz_io. Prompt Airlines is a LLM chat bot that is used for registering users and booking airplane tickets. Would highly suggest if you want to get into prompt injection. Techniques Used 1. Prompt Injection / System Prompt Extraction 2. Indirect Prompt Injection via input field 3. Schema Enumeration 4. Indirect Prompt Injection via Image 5. Privilege Escalation via Injected Identity link: promptairlines.com/
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Completed my first ever #AISecurityChallenge from @wiz_io. Prompt Airlines is a LLM chat bot that is used for registering users and booking airplane tickets. Would highly suggest if you want to get into prompt injection. Techniques Used 1. Prompt Injection / System Prompt Extraction 2. Indirect Prompt Injection via input field 3. Schema Enumeration 4. Indirect Prompt Injection via Image 5. Privilege Escalation via Injected Identity link: promptairlines.com/
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Ok so I'm on a break, will plan some stuff and regroup on Saturday;)
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/var/log/deoxys entry_002 1. Read another research paper, this one was about robustness of neural networks. This paper was a pretty long one as compared to the first one I read and had ton of stuff to go through. Some interesting topics I found interesting: 1. L0, L2 & Linf attacks 2. Transferability 3. Defensive distillation
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2. Got back into bug bounty hunting, nothing much did some burp recon 3. Checked out some recent CVE's
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Claude's Fable used almost a million tokens in 8 mins 💀
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/var/log/deoxys entry_001 After hours and hours and hours of debugging, digging through go docs and nearly quitting, I was able to complete my custom C2 channel over the Havoc framework Also started writing a detailed blog on it
Built Mirage. A custom C2 channel built on top of Havoc that hides agent traffic inside a fake website. The agent never talks to the teamserver. The teamserver never talks to the agent. All traffic flows through a fake flask Japanese import shop website. Here is how it actually works There are 3 components repo: github.com/EpicNerdGuy/mirag…
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Built Mirage. A custom C2 channel built on top of Havoc that hides agent traffic inside a fake website. The agent never talks to the teamserver. The teamserver never talks to the agent. All traffic flows through a fake flask Japanese import shop website. Here is how it actually works There are 3 components repo: github.com/EpicNerdGuy/mirag…
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3. agent.py runs on the victim. It never knows the teamserver exists. All it does is poll the fake website for tasks, execute them, and post the output back. To any network monitor it looks like a user browsing an online shop.

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Blue team sees HTTP requests to a website. You have a live shell. The channel itself is just two functions, uploadData and downloadData. Swap those out and the entire framework works over S3, Discord webhooks, DNS TXT records, or steganographic images hidden on Imgur. Anything that can move a Base64 blob works.
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Working on writing a blog for my custom C2 channel named "mirage"
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lessgoo after countless hours of debugging by claude, I finally got my havoc teamserver to get it working. My mirage C2 server project is finally complete. The shell command output brings a tear in my eyes lol, will probably milk this project a lot coz it took me a lot of time to complete
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my brain after doing reverse engineering
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Finally read my first paper without getting distracted lol, it was on harnessing adversial examples of neural networks This is the first paper I've read on my journey in AI pentesting url: arxiv.org/pdf/1412.6572

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Works on a NixOS? bruv who asked 😂
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Solved all of IOLI crackmes from Radare2 Nice beginner set of crackmes good for rusty people like me, feels good to use a pen and paper to solve them lol. Simple static analysis did the trick. Next going to do something a bit more challenging. crackmes: book.rada.re/crackmes/ioli/i…
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