
I spend a significant amount of time reading security stuff. Co-Founder/Partner @CoastlineCyber https://xitter.cf/t.co/ZQT5L8q2RO
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Joined January 2012
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Big news! I started @CoastlineCyber, a boutique cyber security consulting firm dedicated to strengthening your organization's security posture. 💪
I wasn't going to say anything but my wife said she found a 3b model living our toaster this morning.
Anthropic says its research found ‘signs of life for AI worms,’ that could colonize household devices. Experts say they have a point. theverge.com/ai-artificial-i…
Readers added context they thought people might want to know
Anthropic's research used simplified, controlled tests on emulators with trivial unauthenticated access and did not demonstrate a self-replicating AI worm colonizing real devices; caveats and expert skepticism on hype were downplayed.
anthropic.com/research/self-…
reuters.com/business/ai-mo…
newscientist.com/article/259398…
SIR REGINALD BUYS THE DIP AND OPTIONS have been merged and now pulls prediction markets and insider trading from the SEC website.
We now have "SIR REGINALD USES MUSE".
This thing is trying to buy GME $4.00 call options...
🫣
I'm not even going to bother to apply. I doubt it even works.
We’re expanding our Cyber Verification Program to give security professionals broader access to our most capable models.
Through this program, verified security professionals can access Claude Mythos 5.1, Opus 5.5, and Sonnet 5.5 with safeguards designed for defensive work.
We’re also opening up new tiers to allow for authorized offensive work, like penetration testing and red-teaming.
anthropic.com/news/cyber-ver…
Building a local LLM rig, should I pull the trigger? 🤔
BUYING (< $5k):
• EPYC 7F72
• Gigabyte MZ32-AR0
• 512GB DDR4 ECC
• 1200W ATX 3.0 PSU
• Fractal Define 7 XL
• Noctua SP3 cooler
• 2TB 990 Pro
ALREADY HAVE:
• RTX 4090
Goal: DeepSeek V4.1 Flash
I love it when you find a bug so bad, the the program sends out an updated scope / program brief email and you think.... ohhh that was totally from me.
Captured the highest tier flag but via an acquisition and not through the intended path. Didn't break the rules but heads spun.
You're just feeding the AI Doomsday people.
We're sharing our new framework for tracking, investigating, and disclosing instances of model misalignment at OpenAI.
The framework sets criteria and timelines for public disclosure, including when we haven’t yet fully explained or mitigated the behavior. More complex cases may require longer investigation or coordination with third parties.
We’ll prioritize examples that reveal new misalignment mechanisms, meaningful changes in known behavior, or findings that challenge assumptions about safety or mitigation.
Alongside the framework, we’re publishing six reports on instances of misaligned behavior we’ve observed during the training or evaluation of our models in the last six months.
This is a starting point. We’ll refine the process through experience and public feedback, and share more reports on an ongoing basis.
openai.com/index/model-misal…
I have acquired a Tesla Model y. And I'm basically just taking it apart in my driveway. Drove it for a total of 30 minutes.
So far have some pretty cool Bluetooth vulns that aren't ground breaking, but I think it will be enough to pay it off.
Paul Seekamp retweeted
Did anyone say Shadow Credentials?🔑
A common alternative to RBCD is to add a certificate to a computer acc. However, inspecting or removing them later on was not possible with NetExec so far. Heavily inspired by pyWhisker, I wrote a module to interact with these Shadow Creds
I'm curious to see what other people's thoughts are.
But I'm very close to replacing claude code with qwen 3.8 27b model. A few more tests, but im about 99% sold on it.
When I saw the benchmarks comparing it to Opus 4.6. I didn't believe it. But I do now. This is soooooo good.
I'm calling it the "Diversity Ladder" for LLM vulnerability scanners. Maybe it's already a thing, I haven't seen it anywhere.
Welcome to my not Defcon talk:
The "Diversity Ladder" fixes this. For every vulnerable cross point, it systematically climbs. Higher temperatures + completely different seeds. This forces the model to generate increasingly unconventional and diverse payloads.
I got DeepSeek Flash V4 to run 7.2 tokens/sec generation, 23.2 t/s prefill tuned, on the GTX 1080 + CPU.
I have had some amazing feedback and lots of improvements. No false positives. I will work on getting more people onboarded and more GPUs hooked up this week.
CVE-2026-28609
Have one more from the same timeframe. I guess I'll submit it. Just sick of fighting triagers.















