IRIS C2 (@C2IRIS) header
IRIS C2 (@C2IRIS) profile picture

Offensive cyber is our thing.

McLean, VA
Joined January 2025
Our business model is this: - Attract the very best vulnerability researchers and exploit developers in the world to join our company. This mostly revolves around junior engineers with raw talent/extremely high IQ. We don’t care if they have a college degree/industry experience or if they are total recluse-types who never want to attend some stupid “team building event” or whatever. This is largely an individual sport. And we want the Roger Federer(s) and Novak Djokavic(s) to work for us. We will hone their skills beyond what would be otherwise possible and polish them into absolutely deadly weapons. - Pay them so well (including serious equity), and task them with working on things so cool, that they would never even want to take an interview for a job at another firm (think Renaissance Technologies in the hedge fund world, but for computer network exploitation). We want to make these people very rich—which almost never happens to people with these skills in this industry. The only tradeoff is that they will have zero fame or public recognition, and they have to be okay with that (fame is overrated anyway) - Build the resulting primitives into the most sophisticated and powerful offensive cyber capabilities and platforms imaginable, in order to monitor, degrade and defeat the enemies of Western Civilization — If this sounds like what you’re after, reach out. Careers@IRISC2[.]com
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Wow. This post did numbers
Asked one of our developers how he uses his AI agents and he just sent me this:
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Catch 22: If Anthropic cures Autism, what happens to Anthropic?
Anthropic CEO: “If today we look at things like cancer, Alzheimer’s, heart disease, mental illness. These will be relics of the past in. I think, less than a decade. I believe that the company which gets the risks right will also be the company that has the license to operate that society trusts and society believes can build the benefits in the right way. I think if we do this right, we can create an age of miracles where humanity is able to solve problems that have eluded us for millennia. We have to make sure that all the risks, all the ways that things can go wrong with this technology, we very carefully address those risks as we bring the benefits, and as we have a viable business at the same time”.
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If you look up “Gamma PowerPoint” on X, you’ll see hundreds of posts from Turkish bot accounts claiming that it’s the most amazing application of all time In reality, once you pay $216, it spits out the most horrendous looking presentations that look like they were made by GPT-3 Your standard Claude/GPT subscription does 1000x better They’re worth $2.1B btw We live in strange times
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I have never seen such an enormous swarm of bot accounts promoting anything on this website
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Opus 4.6 seems to have been heavily quantized at some point, but the early versions were insanely powerful. I remember specifically seeing it just about one-shot an SPTM bypass. I looked at it and thought "there is no way that this is going to work"... And then it did
Opus 4.6 is completely wild. There are scenarios where it just is better than Codex Sol 6.0 just because of both how it does tool use + no rejections. Sometimes it can solve what Codex can't in 5 minutes because of that. Sometimes it just finds another real bug just passively
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Same I had it find crazy chained shit for its first week then it became retarded
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It was insane. Genuinely probably the most capable offensive cyber model ever that first week. Even better than Daybreak Red. I even looked back at the old transcripts to make sure I wasn’t misremembering. They were like nothing else before or since.
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Unpopular Opinion: They should probably port the Linux kernel to modern C++
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If you are the kind of person with the fortitude and creativity to grind on these kinds of bugs for dozens of hours in order to take them from DOS to deterministic RCE, you will fit right in at our company. careers@IRISC2[.]com
CVE-2026-112611 drops a public PoC: OOB write in CoreGraphics (PDF ShadingType 5). Array mismatch between /n and /c0 triggers a clean heap overflow inside Apple's native rendering engine. The timing couldn't be worse for Cupertino: 1. Weaponized entry: an unauthenticated CoreGraphics memory corruption bug, ideal for 0-click chains (iMessage/Safari/Mail). 2. Containment breach: chain it with the newly disclosed "worse_query" sandbox escape to break out and read/modify system and third-party app data. Twenty years later, parsing complex media and legacy PDF formats in C/C++ remains a gift to exploit brokers. The walled garden isn't just leaking; the bricks are turning to dust. github.com/Rust505/CVE-2026-…
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I don’t think that they use much AI to write code at Apple. I could be wrong about this, but it just feels that way, as someone who spends countless hours reverse engineering it.
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deepseek 1017 isn’t really great for novel RE/cyber work in my experience (a lot of usage). it’s the definition of good/mid & great for a quick pass. but it overstates “findings”, even when heavily steered it’s nowhere near GLM 5.3 or ML4 it’s 10/10 if it has prior arts.
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Not able to attempt any math with Fable 5.2 without running into this guardrail which alleges reasoning extraction
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Replying to @C2IRIS
Have you found 5.6 Sol to have been dumbed down since initial release?
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Hard to say. The model never blew me away with its intelligence, but combined with the Codex harness, could be okay for grinding away at problems.
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I remember Apple marketing *OS27 as "airdrop will finally work" and I swear it has only gotten worse
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Sometimes is works and sometimes it doesn't. That's part of the fun!
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You guys aren't going to believe this, but.... The only model that comes close to GPT 6 Daybreak for actually writing advanced exploits is.... Muse Wonder (but only once you really give it proper context)
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what else have you tried GLM 5.3, deep-seek 1017? I found Tencent hy4 good too what are your thoughts
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Yep. They’re fine, but just not really brilliant
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GPT-6 Astra w Goal mode is a criminal waste of tokens on ceremony, testing, and implementation scaffolding with near guaranteed lack of completion. Steer clear.
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It spends at least 75% of the tokens on bother and hot air and almost never delivers what you’ve asked for
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Open-weights just require some focus. DSV4.1 for RE of regions + K3 || GLM5.3 for deeper contextual RE + VR. Exploit development is doable with open-weights but it does incur a decent amount of overhead. If you aren’t familiar with a specific subsystem or interactions between components then you may have a rough time. With the open weights, I was able to discover 4 within a more hardened surface (oob write, cross-priv info leak, 2x null-deref DoS). With a library of primitives, K3 or GLM5.3 can do well. Daybreak is excellent though, I would highly recommend it for VR; but I was able to net these 4 reportable bugs in <72 hours with an open-weight setup — so we shouldn’t throw shade at open-weights, they’re pretty great when focused.
Replying to @matthew_d_green
What’s surprising to me is that even many of the experts have not sat down with these open models and sent them off to do something the way a novice would. I know you all have Daybreak etc. but it’s really interesting to know what the capability ceiling is for open models.
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To be clear, I did not say with no tools. What I am saying is *with tools* -- e.g. with the headless API for the best commercial decompilers, and emulation/virtualization solutions (like Corellium Falcon), etc -- which in total, cost hundreds of thousands of dollars, and with a large sample size of working production grade exploits to take inspiration from, the best open source models are *still* completely incapable of autonomously designing and building production grade exploits/exploit chains against the major mobile attack surfaces. With the very close and careful guidance of an expert exploit developer with years of experience, they can be halfway useful. They can find bugs, sure. But that is infinitely easier than the work involved with curating, exploiting for full effect (i.e. RCE, SBX Escape or LPE) and chaining. However, the very best closed models, in their various cyber-vetted versions, are capable of doing so. This only became the case in the last 6 weeks or so.
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The OpenModels basically cap out at writing finding bugs in WHQL signed drivers and writing LPE exploits for them. Which is a task that we would give to our interns.
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Why has iOS jailbreaking not made a comeback? Shit would go absolutely crazy with coding agents
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Because there are so many more defenses against it these days (ASLR, TXM, PPL, SPTM, Sandboxing, etc) and because if one spends the time to develop the necessary exploits, which carries significant cost, there are much better uses for them.
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Replying to @C2IRIS
Are you basing your answer on the GDPx benchmark?
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No. I don't care about benchmarks. I care about whether I am able to complete real life difficult work with the model or not.
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