dadatuputi

Moved to https://github.com/dadatuputi/import_milstar

dadatuputi

# https://learn-powershell.net/2016/04/22/speedy-ping-using-powershell/

# Scan the local network
$Hosts = 1..254 | foreach {"192.168.1.$_"}
$Tasks = $Hosts | foreach {(New-Object System.Net.NetworkInformation.Ping).SendPingAsync($_)}
[Threading.Tasks.Task]::WaitAll($Tasks)
#$Tasks.Result

# Scan the arp table for MAC addresses that are registered to the Pi Foundation
arp -a | select-string "b8-27-eb" |% { $_.ToString().Trim().Split(" ")[0] }

dadatuputi

#!/bin/bash
# findPi:
#       Find all Pi's on the LAN
#       Replace '10.1.0.0/21' below with your subnet and subnet mask
#
# Should have `net-tools` installed in Debian (apt install net-tools)

fping -a -r1 -g 192.168.1.1/24  &> /dev/null
arp -n | grep -i "B8-27-EB\|DC:A6:32"

dadatuputi

#!/usr/bin/python3

import requests, argparse, sys

response_data = []

# Unit data for different coins - makes display of data a bit nices
# coin: [amount to divide balance, amount to divide hashrate, unit of measurement]
coins = {
    'eth': [1000000000000000000, 1000000, ''],

dadatuputi

#!/usr/bin/env python3

import time

iface = 'enp1s0f0'
log = '95.log'
poll_interval = 1

bytes_in = '/sys/class/net/{}/statistics/rx_bytes'.format(iface)
bytes_out = '/sys/class/net/{}/statistics/tx_bytes'.format(iface)

dadatuputi

#! /usr/bin/env python3

"""elixxir_monitor.py: Monitors an elixxir node log for signs of activity and alerts when enough time elapses without activity"""

import time, subprocess, select, time, logging, signal, pushover

# Wait this long to send alert - default 5 minutes
alert_time = 60*5

logfile = "/opt/xxnetwork/node-logs/node.log"

dadatuputi

@ECHO OFF
SETLOCAL

ECHO ASLR Enable / Diable Batch Script - Please run as admin
set /p Choice=Want to Enable or Disable ASLR? (e or d):%=%

if "%Choice%"=="e" goto :ENABLE
if "%Choice%"=="d" goto :DISABLE

:ENABLE

dadatuputi

#!/usr/bin/env python3

import xlrd, argparse, openpyxl
import pandas as pd

SUFFIX_OLD = '_old'
SUFFIX_NEW = '_new'

def diff(f1, f2, o):
    df1 = pd.read_excel(f1, sheet_name=0, header=0, index_col=0)

dadatuputi

#!/bin/bash

podman container list -a --format "{{.Names}}" | while read i; do podman generate systemd -fn --new $i; done

dadatuputi

import requests, argparse, pathlib
from itertools import accumulate
from operator import itemgetter


def build_subnet_list(country, threshold):
    """
    Return a list of the largest subnets from the designated
    country that provide coverage at least up to the threshold amount
    """