Web scrapping tool written in python3, using regex, to get CVEs, Source and URLs.

Overview

searchcve

Web scrapping tool written in python3, using regex, to get CVEs, Source and URLs.

Generates a CSV file in the current directory.

Uses the NIST API to get info.

Dependencies

  • requests and bs4 must be installed.

pip install requests && pip install bs4 should do this job :)

Example of usage

python3 searchcve.py -u https://us-cert.cisa.gov/ncas/alerts/aa21-209a
python3 searchcve.py -u https://www.kennasecurity.com/blog/top-vulnerabilities-of-the-decade/
python3 searchcve.py --url https://arstechnica.com/gadgets/2021/07/feds-list-the-top-30-most-exploited-vulnerabilities-many-are-years-old/
python3 searchcve.py --url https://nvd.nist.gov/ 

Development on Linux

Just in Bash (Ubuntu 18+):

chmod +x developer.sh
./developer.sh

On Linux

chmod +x searchcve.py

./searchcve.py -u https://us-cert.cisa.gov/ncas/alerts/aa21-209a
./searchcve.py --url https://nvd.nist.gov/ 

image

Other arguments

Command line tool that uses the NIST API to get resources.

usage: searchcve_api.py [-h] [-c CVE] [-k KEYWORD] [-u URL] [-i INPUT_FILE]

optional arguments:
  -h, --help            show this help message and exit
  -c CVE, --cve CVE     Choose CVE e.g. "CVE-2020-1472"
  -k KEYWORD, --keyword KEYWORD
                        Choose keyword e.g. "microsoft" -- it will give the 20 latest vulnerabilities and export to csv in the current directory
  -u URL, --url URL     Choose URL e.g. "https://nvd.nist.gov/" -- it will export to csv in the current directory
  -i INPUT_FILE, --input-file INPUT_FILE
                        Choose the path to input file containing CVEs or URLs e.g. "test.csv" -- it will export to csv in the current directory
python3 searchcve.py -c CVE-2020-1472

image

python3 searchcve.py -k microsoft

image

python3 searchcve.py -i cves.csv

image

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Comments
  • Propositon d'une zone de développement

    Propositon d'une zone de développement

    • VirtualEnv est une bonne pratique pythonique
    • La création de l'environnement est automatique
    • "Requests" (acquisition depuis le réseau) et "BeautifulSoup" (pour la partie extracteur)
    • Usage de BeautifulSoup à la place des regex pour l'extraction des contenus
    opened by JGarderon 0
Owner
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