Anthropic Cowork looks great, but it’s Claude Max + macOS only for now. AiPy has been doing "AI works on your computer" ("Vibe Working") for ~1 year — free + Windows/macOS/Linux.
EN: https://t.co/atRRh3mwO9 | ZH: https://t.co/zRFuZiWX3P | CLI: https://t.co/HbwZjoRiUF @AiPyapp
I filed this as a bug with major browsers ~14 years ago, but it still seems to work in desktop Chrome, Firefox, Brave, and Edge, right?
https://t.co/ZJhmE41K84
As in, you end up at a bank website and get a download with no indication it's coming from somewhere else?
We’ve now seen at least four nginx RCEs that require non-default configs: nginx rift, nginx poolslip, and two of our own (including the one in the last tweet).
The configs involved are unusual, which raises the obvious question: do these attacks actually work in real-world deployments?
We asked Claude to download and analyze more than 4,000 nginx config files from GitHub.
The result was embarrassing: none of them were vulnerable to nginx rift or our own attacks. We can’t say anything about nginx poolslip yet, since it hasn’t been published.
So don't worry about your nginx yet.
Moral of the story: AI can generate FUD, but also help fight FUD. Embrace it!
Here's the PoC for Nginx CVE-2026-42945 which works against vanilla Ubuntu (and any other distro?) + Nginx with ASLR enabled. I have included all iterations of the PoC the LLM was kicked to improve.
TL;DR: We can use an LFI/file-read primitive to leak enough details from /proc/<nginx-worker>/mem to bypass ASLR and achieve reliable RCE, in most cases at first shot.
There are still other ways to make it work, with even less subtle primitives. If you ask Geppetto nicely, he will help you ;)
https://t.co/VawjqrMisN
Early this week, we had a meeting at Apple Park in Cupertino. While there, we also shared with Apple our latest vulnerability research report: the first public macOS kernel memory corruption exploit on M5 silicon, surviving MIE. It was laser printed, in honor of our hacker friends.
Full story: https://t.co/AmKMGUmWPt
This is a very detailed analysis. My previous analysis approached the issue from the vulnerability itself, rather than patch diffing. In my view, “prototype pollution” was only an exploitation Tips the real root cause still lies inside ANFancyAlertImpl. https://t.co/DQqIVY8Kf8
Brand new blog post by @streypaws
Three Adobe Reader prototype pollution bugs chained into arbitrary file read, first identified by @HaifeiLi of @EXPMON_
Check it out
https://t.co/ALQh1fa7Z2
Our talk at #BHASIA@BlackHatEvents 2026 has successfully concluded. It's been a great pleasure to explore Ghost Bits together with my co-author @1ue1166323
and present this research on stage. Also, thanks to all the friends who provided help for our briefing:
@chun_springX
https://t.co/KOdjVw7yor
Friday night product launch is not a good idea, but here is v1.0.0 release
npm i -g igf
Prebuilt single execuatbles are also available on GitHub release page. Please give a 🌟 if you like this tool, maybe I can beg for some free coding tokens with it
I reported a file disclosure vuln in @openclaw. Any group chat member can steal API keys and conversation history.
Silently fixed the next day. Never notified. Then denied as "not a vulnerability."
A one-day fix shows urgency. Denying it shows disrespect.
#infosec
Capture Coruna samples using Zoomeye and AiPy https://t.co/h5qwpvIy4B (Chinese)
AiPy + Gemini 3, It directly restored the obfuscated JavaScript in one go and identified all dynamically loaded JavaScript modules.
Using Windows Paint to draw a small car is a classic test in the AiPy benchmark suite. It is a very interesting test case: OpenClaw + Gemini failed the test completely (neither managed to draw it), while AiPy + Gemini performed very well. https://t.co/atRRh3mwO9
An engineer is using https://t.co/CtG9Lkm9ju to successfully implement automatic control of the default drawing software of the Windows system, Auto controlling the mouse to draw a bus. #AiPyapp@AiPyapp
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