whit3rabbit

# It's not recommended to install other repos unless you have to
#
sudo apt-get update
sudo apt install python3-launchpadlib software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
sudo sed -i 's|deb https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu/ kali-rolling main|deb https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu/ noble main|' /etc/apt/sources.list.d/deadsnakes-ubuntu-ppa-kali-rolling.list
sudo apt-get update
sudo apt install python3.10 python3.10-venv

whit3rabbit

#include <windows.h>
#include <stdio.h>
#include <stdlib.h>
#include <psapi.h>
#pragma comment(lib, "psapi.lib")

#define NT_SUCCESS(Status) (((NTSTATUS)(Status)) >= 0)
#define STATUS_INFO_LENGTH_MISMATCH 0xC0000004

typedef LONG NTSTATUS;

whit3rabbit

#define _GNU_SOURCE
#include <stdio.h>
#include <string.h>
#include <unistd.h>
#include <sys/prctl.h>
#include <sys/mman.h>
#include <errno.h>
#include <dirent.h>
#include <sys/mount.h>
#include <sys/stat.h>

whit3rabbit

# !pip install torch transformers scikit-learn umap-learn matplotlib datasets joblib pandas zstandard

'''
Code outline:

1. Loading the pre-trained GPT-2 model and tokenizer.
2. Loading or downloading the dataset and saving it to disk with compression.
3. Collecting and normalizing activations from the middle layer of the model.
4. Training multiple SAEs with different feature sizes and saving them to disk.
5. Finding the feature that responds to the phrase "Golden Gate Bridge" in each SAE.

whit3rabbit

! sudo apt install python3.10-venv
! pip uninstall -y lightgbm && rm -rf LightGBM && git clone --recursive https://github.com/Microsoft/LightGBM && cd LightGBM && sh build-python.sh install --gpu
! mkdir -p /etc/OpenCL/vendors && echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd

whit3rabbit

# Function to display a menu and get the user's choice
function Show-Menu {
    param (
        [string]$Title = "Menu",
        [string[]]$MenuItems
    )

    Clear-Host

    # Display the title

whit3rabbit

// Client
package main

import (
	"fmt"
	"net"
	"time"
)

func main() {

whit3rabbit

useragent_string,browser_family,browser_version,operating_system,operating_system_version,device_family,is_mobile,is_tablet,is_touch_capable,is_pc,is_bot,overview
"Mozilla/5.0 (compatible; U; ABrowse 0.6; Syllable) AppleWebKit/420+ (KHTML, like Gecko)",Other,,Other,,Other,False,False,False,False,False,Other / Other / Other
"Mozilla/5.0 (compatible; U; ABrowse 0.6;  Syllable) AppleWebKit/420+ (KHTML, like Gecko)",Other,,Other,,Other,False,False,False,False,False,Other / Other / Other
Mozilla/5.0 (compatible; ABrowse 0.4; Syllable),Other,,Other,,Other,False,False,False,False,False,Other / Other / Other
Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR 3.5.30729),IE,8.0,Windows,Vista,Other,False,False,False,True,False,PC / Windows Vista / IE 8.0
Mozilla/5.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0; Acoo Browser 1.98.744; .NET CLR   3.5.30729),IE,8.0,Windows,Vista,Other,False,False,False,True,False,PC / Windows Vista / IE 8.0
Mozilla/4.0 (compatible; MSIE 8.

whit3rabbit

#!/bin/bash

echo "[+] Getting docker swarm ingress network ID"

INGRESS=`sudo docker network ls | grep ingress | cut -b -10`

echo "[+] Ingress: $INGRESS"

echo "[+] Running netshoot container with tcpdump"
read -p "[?] Filename for packet capture: " OUTPUT_FILE

whit3rabbit

Had some issues installing spacy on windows.  These were the steps that worked for me.

# Install cuda toolkit SDK 11.0
# https://developer.nvidia.com/cuda-11.0-download-archive

############################
# INSIDE ANACONDA TERMINAL #
############################

# Create virtual env for spacy