take_cve_parse_nvd_give_cvssv3.py

def take_cve_parse_nvd_give_cvssv3(cve):
    time.sleep(0.5)
    base_url = 'https://nvd.nist.gov/vuln/detail/'
    headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Safari/537.36', 'referer':'www.google.com' }
    url = base_url + cve
    my_session = requests.session()
    for_cookies = my_session.get(url)
    cookies = for_cookies.cookies
    print(url)
    page = requests.get(url, headers=headers, cookies=cookies)
    soup = BeautifulSoup(page.text, 'html.parser')
    tables = soup.find_all('table')
    tdf = find_table_input_column(tables, "Type")
    #return tdf
    if tdf.empty :
        return "NA"

    else:
        if 'NIST' in tdf[tdf.Type.str.contains('V3')]['New Value'].tolist()[0] :
            vector = tdf[tdf.Type.str.contains('V3')]['New Value'].tolist()[0].split('NIST ')[1]
        else :
            vector = tdf[tdf.Type.str.contains('V3')]['New Value'].tolist()[0].split('NIST ')[0]
    return vector

def find_table_input_column(tables,column):
    for table in tables:
        try :
            tdf=parse_html_table (table)
            if column in tdf.columns:
                if any("V3" in s for s in tdf.Type.unique().tolist()):
                    print ("v3 in columns")
                    return tdf
                else:
                    continue
        except:
            pass

    return pd.DataFrame()