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from pypdf import PdfMerger

pdfs = ['pdf_1.pdf', 'pdf_2.pdf'] # pdfs to be merged, in order
output_name = 'merged_pdf' # filename of the merged pdfs

merger = PdfMerger()

for pdf in pdfs:
    merger.append(pdf)

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admin account info" filetype:log
!Host=*.* intext:enc_UserPassword=* ext:pcf
"# -FrontPage-" ext:pwd inurl:(service | authors | administrators | users) "# -FrontPage-" inurl:service.pwd
"AutoCreate=TRUE password=*"
"http://*:*@www” domainname
"index of/" "ws_ftp.ini" "parent directory"
"liveice configuration file" ext:cfg -site:sourceforge.net
"parent directory" +proftpdpasswd
Duclassified" -site:duware.com "DUware All Rights reserved"
duclassmate" -site:duware.com

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#!/usr/bin/env python3
# Script: mobile-app-cves.py
# Author: Corey Garst
# Description: This script downloads the NIST NVD feed and extracts a list of Android & iOS app CVEs into an HTML report.

import datetime
import io
import json
import sys
import urllib.request

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Google dork cheatsheet

Search filters

Filter	Description	Example
allintext	Searches for occurrences of all the keywords given.	allintext:"keyword"
intext	Searches for the occurrences of keywords all at once or one at a time.	intext:"keyword"
inurl	Searches for a URL matching one of the keywords.	inurl:"keyword"
allinurl	Searches for a URL matching all the keywords in the query.	allinurl:"keyword"
intitle	Searches for occurrences of keywords in title all or one.	intitle:"keyword"

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Testing Summary

This proxy scan captured traffic taken when signing up for a student account on CourseHero.

During testing, 37 domains were contacted. 36 domains were controlled by 22 organizations. Organizations contacted include:

• Amazon Technologies, Inc.
• Amplitude
• Apple Inc.

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fying pathways to harmful groups about nudity

Identifying pathways to harmful
groups about nudity

A key component of the Drebbel system is to discover pathways to harmful entities a user might
take when engaging with our recommendation surfaces. As part of this effort, we have built a
workflow to identify entities that act as gateways to recognized harmful entities. In this note, we
apply this workflow to focus on groups considered harmful due to nudity and sexual activity.

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» Community Standards Feedback
>. &

 

Policy for Misinformation - Climate Change Denial?

I'm writing to find out if we have a policy regarding Climate Change denial, specifically
human involvement towards climate change. Is this covered in our misinformation
enforcement of inform treatments and downranking? I'm wondering because this is science-

billfitzgerald

» FCU Feedback & XFN (FIT, UIP, Content Understanding) ae

FIT subtopic (climate science, climate change & global warming, earth science etc. )
guidelines for content classification
nat we are doing -

ea e from a search integrity team and working to minimize the spread of harm for climate
e topics in this H1 through SERP. We are in the very initial stage and working on ©
eloping guidelines and query sets.
» Search Integrity: XFN

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gateway groups qanon"
ey <> Ww &

 

  
  
 

Concerto Feedback Group a:

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