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QSB-118: Dom0 arbitrary code execution in qvm-copy-to-vm error reporting
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QSB-118: Dom0 arbitrary code execution in qvm-copy-to-vm error reporting

#qubes-os#define#undef#qubesos#dom0#article

We have published Qubes Security Bulletin (QSB) 118: Dom0 arbitrary code execution in qvm-copy-to-vm error reporting. The text of this QSB and its accompanying cryptographic signatures are reproduced below, followed by a general explanation of this…

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105

HN comments are underrated

danluu.com·danluu.com·25 days ago
#JhWCT75y
#include#define#if#endif#people#system

HN comments are terrible. On any topic I’m informed about, the vast majority of comments are pretty clearly wrong. Most of the time, there are zero comments from people who know anything about the topic and the top comment is reasonable sounding but…

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80

Speeding Up (small) Ruby Hashes

byroot’s blog·byroot's blog·26 days ago
#xNpAT4O2
#define#eql#else#endif#include#ruby

Something I must confess is that I absolutely hate writing these blog posts. It’s not quite as bad as having to give a conference talk, but it’s up there on the list of activities that feel like pulling teeth to me. Not that I’m not proud of the result.…

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FreeBSD ate my ram!
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FreeBSD ate my ram!

Hacker News·FreeBSD ate my ram!·2 months ago
#F50SsQX0
#crocidb#define#ifdef#endif#include#freebsd

I spent a whole month researching FreeBSD's kernel's virtual memory system to understand why tools like htop, btop and fastfetch report different information about RAM usage. I ended up submitting patches to all of these projects.

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193

(How to Write a (Lisp) Interpreter (in Python))

#norvig#define#scheme#environment#list#symbol

Why does this matter? As Steve Yegge said, "If you don't know how compilers work, then you don't know how computers work." Yegge describes 8 problems that can be solved with compilers (or equally well with interpreters, or with Yegge's typical heavy…

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GitHub - jmaczan/tiny-vllm: Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM
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GitHub - jmaczan/tiny-vllm: Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM

Hacker News·Hacker News·4 months ago
#9LqqwrXL
#github#include#define#need#model#number

Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM - jmaczan/tiny-vllm

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