TheSkallywag

def delta(df):
    a = np.diff(df['Price'])
    a = np.insert(a, 0, 0)
    df['Delta'] = a
    return df

def labelling(df):
    b = np.ones(len(df['Price']))
    for i, delta in enumerate(df['Delta']):
        if i > 0:

TheSkallywag

Crippling Facebook

Facebook works with advertisers to target you. These instructions are one of the many ways to begin crippling that relationship. When AI targeting is crippled, your psychosecurity improves :)

1. On your desktop machine, goto https://accountscenter.facebook.com/ads/audience_based_advertising
2. Maximize the browser window
3. Press F12 and click on the Console tab
4. Select the code below, copy it, paste it upon the Console line (The area next to the > character in the Console window), and press enter:

TheSkallywag

#### General PFCTL Commands ####
$ pfctl -d disable                                # packet-filtering
$ pfctl -e enable                                 # packet-filtering
$ pfctl -q                                        # run quiet
$ pfctl -v -v                                     # run even more verbose
#### Loading PF Rules ####
$ pfctl -f /etc/pf.conf                           # load /etc/pf.conf
$ pfctl -n -f /etc/pf.conf                        # parse /etc/pf.conf, but dont load it
$ pfctl -R -f /etc/pf.conf                        # load only the FILTER rules
$ pfctl -N -f /etc/pf.conf                        # load only the NAT rules

TheSkallywag

I used this handy one-liner to search ip ranges while looking up its PTR record. 
The PTR record will have the string "stretchoid". This process took about an hour.

for N in {128..255}; do echo "Testing 192.241.$N.0 - 192.241.$N.255" >> stretchoid_ips.txt; for L in {0..255}; do host -t PTR "192.241.$N.$L" | grep -qF 'stretchoid.com.' && echo "192.241.$N.$L `host -t PTR \"192.241.$N.$L\"`" >> stretchoid_ips.txt; done; done

Credit goes to sissy for the idea:
https://forum.netgate.com/topic/169024/stretchoid-com-ip-list-for-use-in-blocking-their-port-scans?_=1671484145965&lang=en-US

I then opened up the text file in notepad++ and did a regular expressions Search/Replace (CTRL+H)

TheSkallywag

agent_publickey = 3059301306072a8648ce3d020106082a8648ce3d03010703420004f2b81b1902a771c8c24f09c6bd8be647d33bd139269856418a42c5a78343d943a03ac2173529a816f797a803563de6ecdd25572ce09af8c081c02303bac0c4d3
agent_publickey_hash = 525f76180e55012341ffe12bcfb5587adad1b920
agent_publickey_hash_result = not found
agent_publickey_hash_type = web:ecdsa
agent_type = browser_computer
alert_id = 9598
api_call_datetime = 2019-12-16 15:24:42.595
api_key = fioxxxxxxxxxx370
api_site_id = api101.qa2.sac.
api_type = session-query

TheSkallywag

from shodan import Shodan

api = Shodan('API-KEY')
results = api.search('org:"Threat Metrix" port:443 Bad Request')

for banner in results['matches']:
    # Only care about services that use SSL
    if 'ssl' in banner:
        print(banner['ssl']['cert']['subject']['CN'])

TheSkallywag

Add a new user to the www-data group

In this example, add a new user called vivek to the www-data group, enter:

 
sudo useradd -g www-data vivek
 
### set the password for vivek user ###
sudo passwd vivek
 

TheSkallywag

# *-----------------------------------------------------------------
# | PROGRAM NAME: ex bank marketing predictive model.py
# | DATE: 5/1/20 
# | CREATED BY: MATT BOGARD 
# | PROJECT FILE:         
# *----------------------------------------------------------------
# | PURPOSE: basic example of predictive modeling, evaluation, and scoring
# *----------------------------------------------------------------

# Import numpy and pandas

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# *-----------------------------------------------------------------
# | PROGRAM NAME: ex VAR.py
# | DATE: 2/23/21 
# | CREATED BY: MATT BOGARD 
# | PROJECT FILE:            
# *----------------------------------------------------------------
# | PURPOSE: source: https://www.machinelearningplus.com/time-series/vector-autoregression-examples-python/
# *----------------------------------------------------------------

# see also my blog post: http://econometricsense.blogspot.com/2011/05/vector-autoregressions-and-bayesian.html

TheSkallywag

################################################################################################
#	name:	barplot-03.py
#	desc:	Simple bar plot with options
#	date:	2018-07-02
#	Author:	conquistadorjd
#   Documentation : https://matplotlib.org/api/_as_gen/matplotlib.pyplot.bar.html#matplotlib.pyplot.bar
################################################################################################
from matplotlib import pyplot as plt
import numpy as np