regexpython-3.xcve

Extracting CVE Info with a Python 3 regular expression


I frequently need a list of CVEs listed on a vendor's security bulletin page. Sometimes that's simple to copy off, but often they're mixed in with a bunch of text.

I haven't touched Python in a good while, so I thought this would be a great exercise to figure out how to extract that info – especially since I keep finding myself doing it manually.

Here's my current code:

#!/usr/bin/env python3

# REQUIREMENTS
#   python3
#   BeautifulSoup (pip3 install beautifulsoup)
#   python 3 certificates (Applications/Python 3.x/ Install Certificates.command) <-- this one took me forever to figure out!

import sys
if sys.version_info[0] < 3:
    raise Exception("Use Python 3:  python3 " + sys.argv[0])
from urllib.request import urlopen
from bs4 import BeautifulSoup
import re

#specify/get the url to scrape
#url ='https://chromereleases.googleblog.com/2020/02/stable-channel-update-for-desktop.html'
#url = 'https://source.android.com/security/bulletin/2020-02-01.html'
url = input("What is the URL?  ") or 'https://chromereleases.googleblog.com/2020/02/stable-channel-update-for-desktop.html'
print("Checking URL: " + url)

# CVE regular expression
cve_pattern = 'CVE-\d{4}-\d{4,7}'

# query the website and return the html
page = urlopen(url).read()

# parse the html returned using beautiful soup
soup = BeautifulSoup(page, 'html.parser')

count = 0

############################################################
# ANDROID === search for CVE references within <td> tags ===

# find all <td> tags
all_tds = soup.find_all("td")

#print all_tds

for td in all_tds:
    if "cve" in td.text.lower():
        print(td.text)


############################################################
# CHROME === search for CVE reference within <span> tags ===

# find all <span> tags
all_spans = soup.find_all("span")

for span in all_spans:
    # this code returns results in triplicate
    for i in re.finditer(cve_pattern, span.text):
        count += 1
        print(count, i.group())


    # this code works, but only returns the first match
#   match = re.search(cve_pattern,span.text)
#   if match:
#       print(match.group(0))

What I have working for the Android URL works fine; the problem I'm having is for the Chrome URL. They have the CVE info inside <span> tags, and I'm trying to leverage regular expressions to pull that out.

Using the re.finditer approach, I end up with results in triplicate. Using the re.search approach it misses CVE-2019-19925 – they listed two CVEs on that same line.

Can you offer any advice on the best way to get this working?


Solution

  • I finally worked it out myself. No need for BeautifulSoup; everything is RegEx now. To work around the duplicate/triplicate results I was seeing before, I convert the re.findall list result to a dictionary (retaining order of unique values) and back to a list.

    import sys
    if sys.version_info[0] < 3:
        raise Exception("Use Python 3:  python3 " + sys.argv[0])
    import requests
    import re
    
    # Specify/get the url to scrape (included a default for easier testing)
    ### there is no input validation taking place here ###
    url = input("What is the URL?  ") #or 'https://chromereleases.googleblog.com/2020/02/stable-channel-update-for-desktop.html'
    print()
    
    # CVE regular expression
    cve_pattern = r'CVE-\d{4}-\d{4,7}'
    
    # query the website and return the html
    page = requests.get(url)
    
    # initialize count to 0
    count = 0
    
    #search for CVE references using RegEx
    cves = re.findall(cve_pattern, page.text)
    
    # after several days of fiddling, I was still getting double and sometimes triple results on certain pages.  This next line
    # converts the list of objects returned from re.findall to a dictionary (which retains order) to get unique values, then back to a list.
    # (thanks to https://stackoverflow.com/a/48028065/9205677)
    # I found order to be important sometimes, as the most severely rated CVEs are often listed first on the page
    cves = list(dict.fromkeys(cves))
    
    # print the results to the screen
    for cve in cves:
        print(cve)
        count += 1
    
    print()
    print(str(count) + " CVEs found at " + url)
    print()