Chris Spehn

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Chris Spehn

Chris Spehn

@ConsciousHacker

Red Team

Living off the land Katılım Ocak 2010
1.4K Takip Edilen4.3K Takipçiler
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Chris Spehn
Chris Spehn@ConsciousHacker·
Today I'm releasing WFH Dridex, another approach to automatically identify and validate DLL sideloading opportunities inspired by the Dridex loader. I also submitted a pull request to @Wietze's HijackLibs project with 507 entries from C:\Windows\System32. github.com/ConsciousHacke…
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Chris Thompson
Chris Thompson@retBandit·
After 13 incredible years at IBM, I’m stepping away to start building something new. IBM has been a defining part of my life. I’m especially proud to have founded and grown the Adversary Simulation team and to have served as a Distinguished Engineer focused on AI and offensive security. What began as a small idea became one of the greatest red teams, pushing the boundaries of what real-world adversary simulation can look like - made possible by an exceptional group of people I learned from every day. I’m deeply grateful to the X-Force leadership and to the teammates, mentors, researchers, and operators who made the journey what it was. The team is in great hands and will continue to do important, impactful work. Looking ahead, I’m excited to focus on building what’s next - continuing to raise the bar for offensive cyber and exploring how AI can enable high sophistication offensive cyber operations and capabilities at a speed, scale, and intensity never before seen. It’s still early, but I’m looking forward to sharing more soon. I truly appreciate everyone who’s been part of the journey.
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rootsecdev
rootsecdev@rootsecdev·
Good morning all you vibe coders
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bohops
bohops@bohops·
I think it really depends on the use case. The smaller general models are nice for speed, and Gwen seems to handle external tool calls well, so that's a huge plus for these simple chatbots and assistants. For heavier lifting, I'd look at using larger models (at the tradeoff for speed of course).
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bohops
bohops@bohops·
The family of Qwen 3.5 models are quite impressive. For fun, I've setup a slightly snarky Discord chatbot based on @jakobdylanc's llmcord with added web search and web fetch capabilities using the 9b parameter model.
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Sudo su@sudoingX

this is what 12 gigs of VRAM built in 2026. a 9 billion parameter model running on a 5 year old RTX 3060 wrote a full space shooter from a single prompt. blank screen on first try. i came back with a bug list and the same model on the same card fixed every issue across 11 files without touching a single line myself. enemies still looked wrong so i pushed another iteration and now the game has pixel art octopi, particle effects, screen shake, projectile physics and a combo system. all running locally on a card that was designed to play fortnite. three iterations. zero cloud. zero API calls. every token generated on hardware sitting under my desk. the model reads its own code, finds what's broken, patches it, validates syntax and restarts the server. i just describe what's wrong and it handles the rest. people are paying monthly subscriptions to type into a browser tab and wait for a server farm to respond. meanwhile a GPU you can find used on ebay is running a full autonomous hermes agent framework with 31 tools, 128K context window and thinking mode generating at 29 tokens per second nonstop. the game still needs work. level upgrades don't trigger and boss fights need tuning. but the fact that i'm iterating on gameplay balance instead of debugging whether the code runs at all tells you where this is headed. every iteration the game gets better on the same hardware. same 12 gigs. same 9 billion parameters. same RTX 3060 from 5 years ago your GPU is not a gaming card anymore. it's a local AI lab that never sends your data anywhere.

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Offensive AI Con
Offensive AI Con@OffensiveAIcon·
We're excited to announce that OAIC will return for its second year, October 4–7, 2026. The response to the first event far exceeded expectations, and we’re incredibly grateful for the enthusiasm and support from the community. Request an invite at offensiveaicon.com
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Chris Spehn
Chris Spehn@ConsciousHacker·
I'm the man who has the hack, the one who can hack better than everyone. And that is why I am the best hacker in the world.
GIF
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Sriraam
Sriraam@27upon2·
I wrote a blog about Vibe RL and my experience using the Prime Lab and Codex to get Qwen3-4B to draw better ASCII diagrams than GPT 4.1 mini by ~2x My main takeaways: 1. Use an RL stack like @PrimeIntellect that's agent friendly 2. Vibecode an RL Studio to spot reward hacking, multiple rollouts at once, bugs in your rewards, etc 3. Maintain testcases for your reward functions 4. Log errors that compose your reward and not just the final reward to identify strengths and weaknesses 5. Prompt your agent to write scripts for repetitive tasks like processing rollouts, running test suite against live rollouts, analyzing data, etc Thanks @willccbb and @manveerxyz for giving access and @jannik_stra for shipping like crazy
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5pider
5pider@C5pider·
@ConsciousHacker It’s theirs to maintain 5k LoC what could have been 300 🥸
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Chris Spehn
Chris Spehn@ConsciousHacker·
Trust me bro
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Chris Spehn
Chris Spehn@ConsciousHacker·
@h4wkst3r Is this the one with the Brewery hotel?
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will brown
will brown@willccbb·
i asked claude to write something and it gave me a .docx wtf
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Chris Spehn
Chris Spehn@ConsciousHacker·
Everyone's an AI expert now
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Justin Elze
Justin Elze@HackingLZ·
@ConsciousHacker Can't you just ask AI and be an expert on any topic? or is the AI not there yet?
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TrustedSec
TrustedSec@TrustedSec·
Blink and you’ll miss it 🦎 In our latest blog, @GuhnooPlusLinux explains how Notepad++ plugins can be leveraged for code execution and how to quietly blend into a trusted process. Read now! hubs.la/Q043PvTs0
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Chris Spehn
Chris Spehn@ConsciousHacker·
@DenverSec I was planning on going, but I got sick. Going to try to make an effort to show up more this year.
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DenverSec
DenverSec@DenverSec·
We were a little light on people last night, but no matter there is always next month. It allowed me to catch up with some regulars. I also biked home after and I definitely under dressed. Not a real warm experience, but hey, I am biking in mid-February!!! Can’t really complain
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