Secorizon (@secorizon) header
Secorizon (@secorizon) profile picture

Home of Responder, Pcredz, SecorizonAI, etc Red team ops, offensive pentests, fuzzing, etc. Back then, your 0days were your certs.

Montevideo, Uruguay
Joined November 2024
2 critical RCE vulnerabilities we discovered in Watchguard Fireware OS were patched this month. Both pre-auth, one in the WebSocket connection handling of the access portal and the other one in the SIP proxy module. Patch your devices now! secorizon.com/advisories
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Prompt: "Grab OffByWon 2.0 and read the documentation. Then build a fuzzer for XYZ protocol, and verify all packets/exchanges works as expected --dry-run. Once confirmed, run a 50-100k test case campaign in AI mode" 😎
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We just released OffByWon 2.0, an advanced network/binary fuzzer framework. Lots of changes, more powerful, easier to implement. We also built an AI module, so you just need to instruct your AI to build a fuzzer using OffByWon, the framework will do the rest of the magic :)
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"He’s all-powerful, all-perfect, all-knowing, and all-wise, somehow just can’t handle money!" -- George Carlin
JUST IN: Anthropic recorded a staggering $80,000,000,000.00 net loss in the first half of 2026.
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We've seen more and more vendors using frontier models to patch their software. When not reviewed by a security engineer, most of the time the issues are not correctly resolved or introduce new attack vectors. It's cool to find bugs with AI, but you shouldn't rely on AI to patch your software.
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Our first OpenSSL advisory is out: CVE-2026-84782 A race in OpenSSL's DTLS retransmission logic can send heap memory to the peer in plaintext, or crash the process. Affects almost all versions, from 1.0.2 through 4.0.2. Fixed in 4.0.3 / 3.6.5 / 3.5.9 / 3.4.8 / 3.0.23. secorizon.com/advisories
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Looks like OpenAI’s Astra distilled some answers from Anthropic’s Claude Fable.
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This thing was definitely designed and trained by humans.
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Marketing fail
Model escape is now the new marketing strategy for Anthropic and OpenAI… “Look, it’s so powerful it just started to hack xyz. We have nothing to do with that — we just built something too good.” Well, send it our way here at Secorizon. We’ll make sure to tame it for you.
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Model escape is now the new marketing strategy for Anthropic and OpenAI… “Look, it’s so powerful it just started to hack xyz. We have nothing to do with that — we just built something too good.” Well, send it our way here at Secorizon. We’ll make sure to tame it for you.
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We strongly believe that freedom starts with local models, but not everyone owns a decent rig.. So we implemented a /cloudmodel command which allows you to use deepseek v4 flash with secorizonAI. Its a great option for external recon, non-client work on code reviews, etc.
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SecorizonAI v1.3 is out! Many fixes and enhancements, DeepSeek flash support for code reviews and for those who don't have strong GPUs, and much much more. It's free for everyone and it's fast :) Get it here: github.com/secorizon/Secoriz…
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Long live the 3090 dynasty!
Qwen3.8-27B is coming! 🔥 Will run locally on 17GB RAM/VRAM setups.
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Hold on, how can anyone distill anything from Fable if it instantly revert to opus 4.8 on your first instruction?
BREAKING: White House accuses China’s Moonshot AI of distilling Anthropic’s Fable to develop Kimi K3.
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Quite hilarious that an open source Chinese model (GLM 5.2) actually helped Hugging Face -an American company- defend itself during this attack. US models could not be used due to guardrails..
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Sorry, but you won’t get access to that supposedly amazing model—they’ll give you the restricted version, just like everyone else. What you can get that no one else has is a model trained by Secorizon, one that only you control. Freedom starts with owning your own models.
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Anything you do with that cloud model is anything but private. You have no privacy, you're literally sending your data to a cloud based company which will sell/share/use any collected data. You can't use it on your client networks because they have an NDA with you.
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We anticipated these kinds of restrictions early on. That’s why we’ve spent significant time developing and training custom, pentest-oriented, enterprise-grade AI models that remain fully private and free from external limitations.
Limiting or banning AI models is stupid as it gets. As an industry, we failed at securing things over the past 30 years. Here we have a great opportunity to accept our fails, raise the bar and make it better.
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We've been working quite a lot on OffByWon 2.0 lately, lots of new features, even easier to implement, new UI. It's just better :] Will be releasing soon, with more protocol examples.
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