Skip to content

Instantly share code, notes, and snippets.

View lowlevel01's full-sized avatar

Zakariaa HAMID lowlevel01

View GitHub Profile
@Washi1337
Washi1337 / Program.cs
Last active January 31, 2026 16:34
Injecting arbitrary code into PE Files using AsmResolver - https://washi.dev/blog/posts/import-patching/
using AsmResolver;
using AsmResolver.PE;
using AsmResolver.PE.Code;
using AsmResolver.PE.File;
using AsmResolver.PE.File.Headers;
using AsmResolver.PE.Imports;
using AsmResolver.PE.Imports.Builder;
using AsmResolver.PE.Platforms;
using AsmResolver.PE.Relocations;
using AsmResolver.PE.Relocations.Builder;
@HarmJ0y
HarmJ0y / PowerView-3.0-tricks.ps1
Last active May 24, 2026 15:34
PowerView-3.0 tips and tricks
# PowerView's last major overhaul is detailed here: http://www.harmj0y.net/blog/powershell/make-powerview-great-again/
# tricks for the 'old' PowerView are at https://gist.github.com/HarmJ0y/3328d954607d71362e3c
# the most up-to-date version of PowerView will always be in the dev branch of PowerSploit:
# https://github.com/PowerShellMafia/PowerSploit/blob/dev/Recon/PowerView.ps1
# New function naming schema:
# Verbs:
# Get : retrieve full raw data sets
# Find : ‘find’ specific data entries in a data set
@detomon
detomon / intrinsic.md
Last active May 31, 2025 18:38
SSE Intrinsic Cheat Sheet (SSE3)

SSE Intrinsic Cheat Sheet (SSE3)

Load and Store

__m128 _mm_load_ps (float * a)
{
@rdebath
rdebath / README
Last active May 23, 2026 23:19
Original brainfuck distribution by Urban Müller
This archive contains the following programs:
bfc The compiler for the 'brainfuck' language (240 bytes!)
bfc.asm Source for the compiler
bfi The interpreter for the 'brainfuck' language
bfi.c Source for the interpreter (portable)
src/ Some example programs in 'brainfuck'
src/atoi.b Reads a number from stdin
src/div10.b Divides the number under the pointer by 10
src/hello.b The ubiquitous "Hello World!"
@debasishg
debasishg / gist:8172796
Last active June 3, 2026 23:24
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t