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humble.py
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#! /usr/bin/env python3
# 'humble' (HTTP Headers Analyzer)
# https://github.com/rfc-st/humble/
#
# MIT License
#
# Copyright (c) 2020-2025 Rafa 'Bluesman' Faura ([email protected])
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
# Advice:
# Use the information provided by 'humble' wisely. There is *far* more merit in
# helping others, learning and teaching than in attacking, harming or taking
# advantage. Do not just be a 'Script kiddie': if this really interests you
# learn, research and become a Security Analyst!.
# Greetings:
# Alba, Aleix, Alejandro (x3), Álvaro, Ana, Carlos (x3), David (x3), Eduardo,
# Eloy, Fernando, Gabriel, Íñigo, Joanna, Juan Carlos, Juán, Julián, Julio,
# Iván, Lourdes, Luis Joaquín, María Antonia, Marta, Miguel, Miguel Angel,
# Montse, Naiara, Pablo, Sergio, Ricardo & Rubén!.
# Standard Library imports
from time import time
from json import dump
from shutil import copyfile
from platform import system
from itertools import islice
from datetime import datetime
from csv import writer, QUOTE_ALL
from urllib.parse import urlparse
from subprocess import PIPE, Popen
from os import linesep, path, remove
from os.path import dirname, abspath
from collections import Counter, defaultdict
from argparse import ArgumentParser, RawDescriptionHelpFormatter
import re
import ssl
import sys
import base64
import contextlib
import concurrent.futures
import xml.etree.ElementTree as ET
# Third-Party imports
from colorama import Fore, Style, init
from requests.adapters import HTTPAdapter
import requests
import tldextract
BANNER = ''' _ _ _
| |__ _ _ _ __ ___ | |__ | | ___
| '_ \\| | | | '_ ` _ \\| '_ \\| |/ _ \\
| | | | |_| | | | | | | |_) | | __/
|_| |_|\\__,_|_| |_| |_|_.__/|_|\\___|
'''
BOLD_STRINGS = ('[0.', 'HTTP R', '[1.', '[2.', '[3.', '[4.', '[5.', '[6.',
'[7.', '[Cabeceras')
CSV_SECTION = ('0section', '0headers', '1enabled', '2missing', '3fingerprint',
'4depinsecure', '5empty', '6compat', '7result')
DELETED_LINES = '\x1b[1A\x1b[2K\x1b[1A\x1b[2K\x1b[1A\x1b[2K'
DTD_CONTENT = '''<!ELEMENT analysis (section+)>
<!ELEMENT section (item*)>
<!ATTLIST section name CDATA #REQUIRED>
<!ELEMENT item (#PCDATA)>
<!ATTLIST item name CDATA #IMPLIED>
'''
# https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers
EXP_HEADERS = ('activate-storage-access', 'critical-ch', 'document-policy',
'nel', 'no-vary-search', 'observe-browsing-topics',
'origin-agent-cluster', 'permissions-policy',
'reporting-endpoints', 'set-login', 'speculation-rules',
'supports-loading-mode')
FORCED_CIPHERS = ":".join(["HIGH", "!DH", "!aNULL"])
HTTP_SCHEMES = ('http:', 'https:')
HTTP_SERVER_CODES = (500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510,
511, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529,
530)
HUMBLE_DESC = "'humble' (HTTP Headers Analyzer)"
HUMBLE_DIRS = ('additional', 'l10n')
HUMBLE_FILES = ('analysis_h.txt', 'check_path_permissions', 'fingerprint.txt',
'guides.txt', 'details_es.txt', 'details.txt',
'user_agents.txt', 'insecure.txt', 'html_template.html',
'analysis_grades.txt', 'analysis_grades_es.txt', 'license.txt',
'license_es.txt', 'testssl_windows.txt',
'testssl_windows_es.txt', 'security_guides.txt',
'security_guides_es.txt', 'security.txt')
JSON_SECTION = ('0section', '0headers', '5compat', '6result')
L10N_IDXS = {'grades': (9, 10), 'license': (11, 12), 'testssl': (13, 14),
'security_guides': (15, 16)}
OS_PATH = dirname(abspath(__file__))
PDF_CONDITIONS = ('Ref:', ':', '"', '(*) ')
RE_PATTERN = (
r'\((.*?)\)',
(r'^(?:25[0-5]|2[0-4]\d|[01]?\d{1,2})\.(?:25[0-5]|2[0-4]\d|[01]?\d{1,2})\.'
r'(?:25[0-5]|2[0-4]\d|[01]?\d{1,2})\.(?:25[0-5]|2[0-4]\d|[01]?\d{1,2})$|'
r'^(?:[0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}$|'
r'^[0-9a-fA-F:]+$|'
r'^(?:[0-9a-fA-F]{1,4}:){1,7}:$|^::(?:[0-9a-fA-F]{1,4}:){1,7}$'),
(r'\.\./|/\.\.|\\\.\.|\\\.\\|'
r'%2e%2e%2f|%252e%252e%252f|%c0%ae%c0%ae%c0%af|'
r'%uff0e%uff0e%u2215|%uff0e%uff0e%u2216'), r'\(([^)]+)\)',
r'\d{4}-\d{2}-\d{2}', r'\[(.*?)\]\n', r"'nonce-([^']+)'",
r'\(humble_pdf_style\)([^:]+):',
r'<meta\s+http-equiv=["\'](.*?)["\']\s+content=["\'](.*?)["\']\s*/?>',
r'\(humble_sec_style\)([^:]+)', r'\(humble_sec_style\)',
r'(?: Nota : | Note : )', r'^[0-9a-fA-F]{32}$', r'^[A-Za-z0-9+/=]+$')
REF_LINKS = (' Ref : ', ' Ref: ', 'Ref :', 'Ref: ', ' ref:')
SECTION_S = ('[enabled_cnt]', '[missing_cnt]', '[fng_cnt]', '[insecure_cnt]',
'[empty_cnt]', '[total_cnt]')
SECTION_V = ('[no_enabled]', '[no_missing]', '[no_fingerprint]',
'[no_ins_deprecated]', '[no_empty]', '[average_warnings]',
'[average_warnings_year]', '[average_enb]', '[average_miss]',
'[average_fng]', '[average_dep]', '[average_ety]',
'[most_analyzed]', '[least_analyzed]', '[most_warnings]',
'[least_warnings]', '[most_enabled]', '[least_enabled]',
'[most_missing]', '[least_missing]', '[most_fingerprints]',
'[least_fingerprints]', '[most_insecure]', '[least_insecure]',
'[most_empty]', '[least_empty]')
SLICE_INT = (30, 43, 25, 24, -4, -5, 46, 31)
STYLE = (Style.BRIGHT, f"{Style.BRIGHT}{Fore.RED}", Fore.CYAN, Style.NORMAL,
Style.RESET_ALL, Fore.RESET, '(humble_pdf_style)',
f"(humble_sec_style){Fore.GREEN}", '(humble_sec_style)')
TESTSSL_FILE = ("testssl", "testssl.sh")
# Check https://testssl.sh/doc/testssl.1.html to choose your preferred options
TESTSSL_OPTIONS = ['-f', '-g', '-p', '-U', '-s', '--hints']
URL_LIST = (': https://caniuse.com/?search=', ' Ref : https://developers.clou\
dflare.com/support/troubleshooting/cloudflare-errors/troubleshooting-cloudflar\
e-5xx-errors/', ' Ref : https://developer.mozilla.org/en-US/docs/Web/HTTP/Sta\
tus/', 'https://raw.githubusercontent.com/rfc-st/humble/master/humble.py', 'ht\
tps://github.com/rfc-st/humble')
URL_STRING = ('rfc-st', ' URL : ', 'caniuse')
XML_STRING = ('Ref: ', 'Value: ', 'Valor: ')
current_time = datetime.now().strftime("%Y/%m/%d - %H:%M:%S")
local_version = datetime.strptime('2025-03-29', '%Y-%m-%d').date()
class SSLContextAdapter(requests.adapters.HTTPAdapter):
def init_poolmanager(self, *args, **kwargs):
# Yes, certificates and hosts must always be checked/verified on HTTPS
# connections. However, within the scope of 'humble', I have chosen to
# disable these checks to allow the analysis of URLs in certain cases
# (e.g., development environments, hosts with outdated
# servers/software, self-signed certificates, etc.).
context = ssl._create_unverified_context()
context.check_hostname = False
context.verify_mode = ssl.CERT_NONE
context.cert_reqs = ssl.CERT_NONE
context.set_ciphers(FORCED_CIPHERS)
kwargs['ssl_context'] = context
return super(SSLContextAdapter, self).init_poolmanager(*args, **kwargs)
def check_python_version():
exit(print_detail('[python_version]', 3)) if sys.version_info < (3, 9) \
else None
def check_updates(local_version):
try:
github_repo = requests.get(URL_LIST[3], timeout=10).text
github_date = re.search(RE_PATTERN[4], github_repo).group()
github_version = datetime.strptime(github_date, '%Y-%m-%d').date()
days_diff = (github_version - local_version).days
check_updates_diff(days_diff, github_version, local_version)
except requests.exceptions.RequestException:
print_error_detail('[update_error]')
sys.exit()
def check_updates_diff(days_diff, github_version, local_version):
# Three weeks without updating 'humble' is too long ;)
print(f" \n{STYLE[0]}{get_detail('[humble_latest]', replace=True)} \
{github_version} \n {get_detail('[humble_local]', replace=True)} \
{local_version}{STYLE[4]}")
if days_diff > 21:
print(f"\n{get_detail('[humble_not_recent]')}\n\
{get_detail('[github_humble]', replace=True)}\n")
else:
print_detail('[humble_recent]', 8)
def fng_statistics_top():
print(f"\n{STYLE[0]}{get_detail('[fng_stats]', replace=True)}\
{STYLE[4]}{get_detail('[fng_source]', replace=True)}\n")
with open(path.join(OS_PATH, HUMBLE_DIRS[0], HUMBLE_FILES[2]), 'r',
encoding='utf8') as fng_f:
fng_lines = fng_f.readlines()
fng_incl = sum(1 for _ in islice(fng_lines, SLICE_INT[0], None))
fng_statistics_top_groups(fng_lines, fng_incl)
sys.exit()
def fng_statistics_top_groups(fng_lines, fng_incl):
top_groups_pattern = re.compile(RE_PATTERN[3])
fng_top_groups = Counter(match.strip() for line in fng_lines for match in
top_groups_pattern.findall(line))
fng_statistics_top_result(fng_top_groups, fng_incl)
def fng_statistics_top_result(fng_top_groups, fng_incl):
max_ln_len = max(len(content) for content, _ in
fng_top_groups.most_common(20))
print(f"{get_detail('[fng_top]', replace=True)} {fng_incl}\
{get_detail('[fng_top_2]', replace=True)}\n")
for content, count in fng_top_groups.most_common(20):
fng_global_pct = round(count / fng_incl * 100, 2)
fng_padding = ' ' * (max_ln_len - len(content))
print(f" [{content}]: {fng_padding}{fng_global_pct:.2f}% ({count})")
def fng_statistics_term(fng_term):
print(f"\n{STYLE[0]}{get_detail('[fng_stats]', replace=True)}\
{STYLE[4]}{get_detail('[fng_source]', replace=True)}\n")
with open(path.join(OS_PATH, HUMBLE_DIRS[0], HUMBLE_FILES[2]), 'r',
encoding='utf8') as fng_source:
fng_lines = fng_source.readlines()
fng_incl = list(islice(fng_lines, SLICE_INT[0], None))
fng_groups, term_cnt = fng_statistics_term_groups(fng_incl, fng_term)
if not fng_groups:
print(f"{get_detail('[fng_zero]', replace=True)} '{fng_term}'.\n\n\
{get_detail('[fng_zero_2]', replace=True)}.\n")
sys.exit()
fng_statistics_term_content(fng_groups, fng_term, term_cnt, fng_incl)
def fng_statistics_term_groups(fng_incl, fng_term):
fng_matches = [match for line in fng_incl if
(match := re.search(RE_PATTERN[0], line)) and
fng_term.lower() in match[1].lower()]
fng_groups = sorted({match[1].strip() for match in fng_matches})
term_cnt = len(fng_matches)
return fng_groups, term_cnt
def fng_statistics_term_content(fng_groups, fng_term, term_cnt, fng_incl):
fng_pct = round(term_cnt / len(fng_incl) * 100, 2)
print(f"{get_detail('[fng_add]', replace=True)} '{fng_term}': {fng_pct}%\
({term_cnt}{get_detail('[pdf_footer2]', replace=True)} {len(fng_incl)})")
fng_statistics_term_sorted(fng_incl, fng_term.lower(), fng_groups)
def fng_statistics_term_sorted(fng_incl, fng_term, fng_groups):
for content in fng_groups:
print(f"\n [{STYLE[0]}{content}]")
content = content.lower()
for line in fng_incl:
line_l = line.lower()
if content in line_l and fng_term in line_l:
print(f" {line[:line.find('(')].strip()}")
sys.exit()
def print_l10n_file(args, l10n_file, slice_ln=False):
lang_idx = 1 if args.lang == 'es' else 0
l10n_file = HUMBLE_FILES[L10N_IDXS[l10n_file][lang_idx]]
l10n_slice = SLICE_INT[2] if args.lang == 'es' else SLICE_INT[3]
with open(path.join(OS_PATH, HUMBLE_DIRS[1], l10n_file), 'r',
encoding='utf8') as l10n_source:
l10n_sliced = islice(l10n_source, l10n_slice, None) \
if slice_ln else l10n_source
for line in l10n_sliced:
print(f" {STYLE[0]}{line}" if line.startswith('[') else f" \
{line}", end='')
sys.exit()
def testssl_command(testssl_temp_path, uri):
if not path.isdir(testssl_temp_path):
print_error_detail('[notestssl_path]')
testssl_path = next((path.join(testssl_temp_path, filename) for filename
in TESTSSL_FILE if
path.isfile(path.join(testssl_temp_path, filename))),
None)
if not testssl_path:
print_error_detail('[notestssl_file]')
testssl_command = [testssl_path] + TESTSSL_OPTIONS + [uri]
testssl_analysis(testssl_command)
sys.exit()
def testssl_analysis(testssl_command):
try:
process = Popen(testssl_command, stdout=PIPE, stderr=PIPE, text=True)
for ln in iter(process.stdout.readline, ''):
print(ln, end='')
if 'Done' in ln:
process.terminate()
process.wait()
break
if stderr := process.stderr.read():
print(stderr, end='')
except Exception:
print_error_detail('[testssl_error]')
def get_l10n_content():
l10n_path = path.join(OS_PATH, HUMBLE_DIRS[1], HUMBLE_FILES[4]
if args.lang == 'es' else HUMBLE_FILES[5])
with open(l10n_path, 'r', encoding='utf8') as l10n_content:
return l10n_content.readlines()
def get_analysis_results():
analysis_t = str(round(end - start, 2)).rstrip()
print(f"{get_detail('[analysis_time]', replace=True)} {analysis_t}\
{get_detail('[analysis_time_sec]', replace=True)}")
t_cnt = sum([m_cnt, f_cnt, i_cnt[0], e_cnt])
analysis_totals = save_analysis_results(t_cnt)
analysis_diff = compare_analysis_results(*analysis_totals, en_cnt=en_cnt,
m_cnt=m_cnt, f_cnt=f_cnt,
i_cnt=i_cnt, e_cnt=e_cnt,
t_cnt=t_cnt)
print_analysis_results(*analysis_diff, t_cnt=t_cnt)
analysis_grade = grade_analysis(en_cnt, m_cnt, f_cnt, i_cnt, e_cnt)
print(f"{get_detail(analysis_grade)}")
print_detail('[experimental_header]', 2)
def save_analysis_results(t_cnt):
with open(HUMBLE_FILES[0], 'a+', encoding='utf8') as all_analysis:
all_analysis.seek(0)
url_ln = [line for line in all_analysis if URL in line]
# Format of the analysis history file, ('analysis_h.txt'): Date, URL,
# Enabled, Missing, Fingerprint, Deprecated/Insecure, Empty headers and
# Total warnings (the four previous totals).
all_analysis.write(f"{current_time} ; {URL} ; {en_cnt} ; {m_cnt} ; \
{f_cnt} ; {i_cnt[0]} ; {e_cnt} ; {t_cnt}\n")
return get_analysis_totals(url_ln) if url_ln else ("First",) * 6
def get_analysis_totals(url_ln):
# To avoid errors with analyses performed before 11/28/2024, the date on
# which enabled security headers began being considered when calculating
# differences between analyses of the same URL.
# Therefore, analyses performed before that date are assumed to have no
# security headers enabled.
# Ref: https://github.com/rfc-st/humble/commit/f7b376
updated_lines = []
for line in url_ln:
fields = line.strip().split(' ; ')
if len(fields) == 7:
fields.insert(2, '0')
updated_lines.append(' ; '.join(fields))
url_ln = updated_lines
analysis_date = max(line.split(" ; ")[0] for line in url_ln)
for line in url_ln:
if analysis_date in line:
*totals, = line.strip().split(' ; ')
break
return tuple(totals[2:])
def compare_analysis_results(*analysis_totals, en_cnt, m_cnt, f_cnt, i_cnt,
e_cnt, t_cnt):
if analysis_totals[0] == "First":
return [get_detail('[first_analysis]', replace=True)] * 6
current = [int(val) for val in analysis_totals]
differences = [en_cnt, m_cnt, f_cnt, i_cnt[0], e_cnt, t_cnt]
return [str(d - c) if (d - c) <= 0 else f'+{d - c}' for d, c in
zip(differences, current)]
def print_analysis_results(*diff, t_cnt):
totals = [f"{en_cnt} ({diff[0]})\n", f"{m_cnt} ({diff[1]})",
f"{f_cnt} ({diff[2]})", f"{i_cnt[0]} \
({diff[3]})", f"{e_cnt} ({diff[4]})", f"{t_cnt} ({diff[5]})\n\n"]
max_secl = get_max_lnlength(SECTION_S)
for literal, total in zip(SECTION_S, totals):
print(f"{print_detail_s(literal, max_ln=True):<{max_secl}} {total}",
end='')
# Use '-grd' parameter to show the checks to grade an analysis, along with
# advice for improvement.
def grade_analysis(en_cnt, m_cnt, f_cnt, i_cnt, e_cnt):
if en_cnt == 0:
return '[e_grade]'
if i_cnt and sum(i_cnt) > 0:
return '[d_grade]'
if m_cnt > 0:
return '[c_grade]'
if f_cnt > 0:
return '[b_grade]'
return '[a_grade]' if e_cnt > 0 else '[perfect_grade]'
def analysis_exists(filepath):
if not path.exists(filepath):
detail = '[no_analysis]' if URL else '[no_global_analysis]'
print_error_detail(detail)
def adjust_old_analysis(url_ln):
# To avoid errors with analyses performed before 11/28/2024, the date on
# which enabled security headers began being written to the analysis
# history file ('analysis_h.txt') and considered for displaying statistics
# (via the '-a' parameter).
# Therefore, analyses performed before that date are assumed to have no
# security headers enabled.
# Ref: https://github.com/rfc-st/humble/commit/f7b376
updated_lines = []
for i in url_ln:
fields = i.strip().split(';')
if len(fields) == 7:
fields = [field.strip() for field in fields]
fields.insert(2, '0')
updated_lines.append(' ; '.join(fields) + '\n')
else:
updated_lines.append(i)
return updated_lines
def url_analytics(is_global=False):
url_scope = extract_global_metrics if is_global else get_analysis_metrics
with open(HUMBLE_FILES[0], 'r', encoding='utf8') as all_analysis:
analysis_metrics = url_scope(all_analysis)
l10n_det = '[global_stats_analysis]' if is_global else '[stats_analysis]'
url_string = '' if is_global else URL
print(f"\n{get_detail(l10n_det, replace=True)} {url_string}\n")
for key, value in analysis_metrics.items():
key_style = f"{STYLE[0]}{key}{STYLE[4]}" if not value or not \
key.startswith(' ') else key
print(f"{key_style}: {value}")
sys.exit()
def get_analysis_metrics(all_analysis):
url_ln = [line for line in all_analysis if URL in line]
if not url_ln:
print_error_detail('[no_analysis]')
adj_url_ln = adjust_old_analysis(url_ln)
total_a = len(adj_url_ln)
first_m = get_first_metrics(adj_url_ln)
second_m = [get_second_metrics(adj_url_ln, i, total_a) for i
in range(2, 7)]
third_m = get_third_metrics(adj_url_ln)
additional_m = get_additional_metrics(adj_url_ln)
fourth_m = get_highlights(adj_url_ln)
fifth_m = get_trends(adj_url_ln)
analytics_s = get_analytics_length(SECTION_V[:5])
analytics_w = get_analytics_length(SECTION_V[5:12])
return print_metrics(analytics_s, analytics_w, total_a, first_m, second_m,
third_m, additional_m, fourth_m, fifth_m)
def get_first_metrics(adj_url_ln):
first_a = min(f"{line.split(' ; ')[0]}" for line in adj_url_ln)
latest_a = max(f"{line.split(' ; ')[0]}" for line in adj_url_ln)
date_w = [(line.split(" ; ")[0],
int(line.strip().split(" ; ")[-1])) for line in adj_url_ln]
best_d, best_w = min(date_w, key=lambda x: x[1])
worst_d, worst_w = max(date_w, key=lambda x: x[1])
return (first_a, latest_a, best_d, best_w, worst_d, worst_w)
def get_second_metrics(adj_url_ln, index, total_a):
metric_c = len([line for line in adj_url_ln if int(line.split(' ; ')
[index])
== 0])
return f"{metric_c / total_a:.0%} ({metric_c}\
{get_detail('[pdf_footer2]', replace=True)} {total_a})"
def get_third_metrics(adj_url_ln):
fields = [line.strip().split(';') for line in adj_url_ln]
total_enb, total_miss, total_fng, total_dep, total_ety = \
[sum(int(f[i]) for f in fields) for i in range(2, 7)]
num_a = len(adj_url_ln)
avg_enb, avg_miss, avg_fng, avg_dep, avg_ety = \
[t // num_a for t in (total_enb, total_miss, total_fng, total_dep,
total_ety)]
return (avg_enb, avg_miss, avg_fng, avg_dep, avg_ety)
def get_additional_metrics(adj_url_ln):
avg_w = int(sum(int(line.split(' ; ')[-1]) for line in adj_url_ln) /
len(adj_url_ln))
year_a, avg_w_y, month_a = extract_date_metrics(adj_url_ln)
return (avg_w, year_a, avg_w_y, month_a)
def extract_date_metrics(url_ln):
year_cnt, year_wng = defaultdict(int), defaultdict(int)
for line in url_ln:
date_str = line.split(' ; ')[0].split()[0]
year, _, _ = map(int, date_str.split('/'))
year_cnt[year] += 1
year_wng[year] += int(line.split(' ; ')[-1])
years_str = generate_date_groups(year_cnt, url_ln)
avg_wng_y = sum(year_wng.values()) // len(year_wng)
return years_str, avg_wng_y, year_wng
def generate_date_groups(year_cnt, url_ln):
years_str = []
for year in sorted(year_cnt.keys()):
year_str = f" {year}: {year_cnt[year]} \
{get_detail('[analysis_y]').rstrip()}"
month_cnts = get_month_counts(year, url_ln)
months_str = '\n'.join([f" ({count}){month_name.rstrip()}" for
month_name, count in month_cnts.items()])
year_str += f"\n{months_str}\n"
years_str.append(year_str)
return '\n'.join(years_str)
def get_month_counts(year, url_ln):
month_cnts = defaultdict(int)
for line in url_ln:
date_str = line.split(' ; ')[0].split()[0]
line_year, line_month, _ = map(int, date_str.split('/'))
if line_year == year:
month_cnts[get_detail(f'[month_{line_month:02d}]')] += 1
return month_cnts
def get_highlights(adj_url_ln):
sections_h = SECTION_S[:-1]
fields_h = [2, 3, 4, 5, 6]
return [f" {print_detail_l(sections_h[i], analytics=True)}\n"
f" {print_detail_l('[best_analysis]', analytics=True)}: \
{calculate_highlights(adj_url_ln, fields_h[i], min if i != 0 else max)}\n"
f" {print_detail_l('[worst_analysis]', analytics=True)}: \
{calculate_highlights(adj_url_ln, fields_h[i], max if i != 0 else min)}\n"
for i in range(len(fields_h))]
def calculate_highlights(url_ln, field_index, func):
values = [int(line.split(';')[field_index].strip()) for line in url_ln]
target_value = func(values)
target_line = next(line for line in url_ln
if int(line.split(';')[field_index].strip()) ==
target_value)
return target_line.split(';')[0].strip()
def get_trends(adj_url_ln):
sections_t = SECTION_S[1:]
fields_t = [3, 4, 5, 6, 7]
max_secl = (get_max_lnlength(SECTION_S))-2
trends = []
for section, field_idx in zip(sections_t, fields_t):
values = [int(parts[field_idx].strip()) for line in adj_url_ln
if len((parts := line.strip().split(';'))) > field_idx]
trends.append(f"{(get_detail(section, replace=True).ljust(max_secl))}\
{calculate_trends(values)}")
return trends
def calculate_trends(values):
# Calculates the trend of values for several checks (Missing, Fingerprint,
# Deprecated/Insecure, Empty headers, and Total warnings) for a given URL.
#
# At least five analyses of the URL are required to calculate reliable
# trends, and only the five most recent analyses are considered. The
# possible trends are:
#
# 'Stable': All five values are identical.
# 'Improving': Values consistently decrease.
# 'Worsening': Values consistently increase.
# 'Fluctuating': No clear trend is detected; values alternate.
if len(values) < 5:
return print_detail_l('[t_insufficient]', analytics=True)
trends_list = values[-5:]
if all(x == trends_list[0] for x in trends_list):
return print_detail_l('[t_stable]', analytics=True)
inc_trend = sum(trends_list[i] > trends_list[i - 1] for i in range(1, 5))
dec_trend = sum(trends_list[i] < trends_list[i - 1] for i in range(1, 5))
if dec_trend > inc_trend:
return print_detail_l('[t_improving]', analytics=True)
if inc_trend > dec_trend:
return print_detail_l('[t_worsening]', analytics=True)
return print_detail_l('[t_fluctuating]', analytics=True)
def print_metrics(analytics_s, analytics_w, total_a, first_m, second_m,
third_m, additional_m, fourth_m, fifth_m):
basic_m = get_basic_metrics(total_a, first_m)
error_m = get_security_metrics(analytics_s, second_m)
warning_m = get_warnings_metrics(additional_m, analytics_w)
averages_m = get_averages_metrics(analytics_w, third_m)
fourth_m = get_highlights_metrics(fourth_m)
trend_m = get_trend_metrics(fifth_m)
analysis_year_m = get_date_metrics(additional_m)
totals_m = {**basic_m, **error_m, **warning_m, **averages_m, **fourth_m,
**trend_m, **analysis_year_m}
return {get_detail(key, replace=True): value for key, value in
totals_m.items()}
def get_basic_metrics(total_a, first_m):
return {'[main]': "", '[total_analysis]': total_a,
'[first_analysis_a]': first_m[0], '[latest_analysis]': first_m[1],
'[best_analysis]': f"{first_m[2]} \
{get_detail('[total_warnings]', replace=True)}{first_m[3]})",
'[worst_analysis]': f"{first_m[4]} \
{get_detail('[total_warnings]', replace=True)}{first_m[5]})\n"}
def get_security_metrics(analytics_s, second_m):
return {'[analysis_y]': "",
'[no_enabled]': f"{analytics_s[0]}{second_m[0]}",
'[no_missing]': f"{analytics_s[1]}{second_m[1]}",
'[no_fingerprint]': f"{analytics_s[2]}{second_m[2]}",
'[no_ins_deprecated]': f"{analytics_s[3]}{second_m[3]}",
'[no_empty]': f"{analytics_s[4]}{second_m[4]}\n"}
def get_warnings_metrics(additional_m, analytics_w):
return {'[averages]': "",
'[average_warnings]': f"{analytics_w[0]}{additional_m[0]}",
'[average_warnings_year]': f"{analytics_w[1]}{additional_m[2]}\n"}
def get_averages_metrics(analytics_w, third_m):
return {'[average_enb]': f"{analytics_w[2]}{third_m[0]}",
'[average_miss]': f"{analytics_w[3]}{third_m[1]}",
'[average_fng]': f"{analytics_w[4]}{third_m[2]}",
'[average_dep]': f"{analytics_w[5]}{third_m[3]}",
'[average_ety]': f"{analytics_w[6]}{third_m[4]}\n"}
def get_highlights_metrics(fourth_m):
return {'[highlights]': "\n" + "\n".join(fourth_m)}
def get_trend_metrics(fifth_m):
if '5' in fifth_m[0]:
trends_s = get_detail('[t_insufficient]')
return {'[trends]': "\n" + trends_s}
return {'[trends]': "\n" + "\n".join(fifth_m) + "\n"}
def get_date_metrics(additional_m):
return {'[analysis_year_month]': f"\n{additional_m[1]}"}
def extract_global_metrics(all_analysis):
url_ln = list(all_analysis)
if not url_ln:
print_error_detail('[no_global_analysis]')
adj_url_ln = adjust_old_analysis(url_ln)
total_a = len(adj_url_ln)
first_m = get_global_first_metrics(adj_url_ln)
second_m = [get_second_metrics(adj_url_ln, i, total_a) for i
in range(2, 7)]
third_m = get_third_metrics(adj_url_ln)
additional_m = get_additional_metrics(adj_url_ln)
analytics_l = get_analytics_length(SECTION_V[12:26])
analytics_s = get_analytics_length(SECTION_V[:5])
analytics_w = get_analytics_length(SECTION_V[5:12])
return print_global_metrics(analytics_l, analytics_s, analytics_w, total_a,
first_m, second_m, third_m, additional_m)
def get_global_first_metrics(adj_url_ln):
split_lines = [line.split(' ; ') for line in adj_url_ln]
url_lines = {}
for entry in split_lines:
url = entry[1]
url_lines[url] = url_lines.get(url, 0) + 1
return get_global_metrics(adj_url_ln, url_lines)
def get_global_metrics(url_ln, url_lines):
first_a = min(f"{line.split(' ; ')[0]}" for line in url_ln)
latest_a = max(f"{line.split(' ; ')[0]}" for line in url_ln)
unique_u = len({line.split(' ; ')[1] for line in url_ln})
most_analyzed_u = max(url_lines, key=url_lines.get)
most_analyzed_c = url_lines[most_analyzed_u]
most_analyzed_cu = f"({most_analyzed_c}) {most_analyzed_u}"
least_analyzed_u = min(url_lines, key=url_lines.get)
least_analyzed_c = url_lines[least_analyzed_u]
least_analyzed_cu = f"({least_analyzed_c}) {least_analyzed_u}"
fields = [-1, 2, 3, 4, 5, 6]
totals = [get_global_totals(url_ln, field) for field in fields]
return (first_a, latest_a, unique_u, most_analyzed_cu, least_analyzed_cu,
*(item for total in totals for item in total))
def get_global_totals(url_ln, field):
most_totals = max(url_ln, key=lambda line: int(line.split(' ; ')[field]))
least_totals = min(url_ln, key=lambda line: int(line.split(' ; ')[field]))
most_totals_c, most_totals_cu = most_totals.split(' ; ')[1], \
str(most_totals.split(' ; ')[field]).strip()
most_totals_p = f"({most_totals_cu}) {most_totals_c}"
least_totals_c, least_totals_cu = least_totals.split(' ; ')[1], \
str(least_totals.split(' ; ')[field]).strip()
least_totals_p = f"({least_totals_cu}) {least_totals_c}"
return (most_totals_p, least_totals_p)
def get_basic_global_metrics(analytics_l, total_a, first_m):
return {'[main]': "", '[total_analysis]': total_a,
'[total_global_analysis]': str(first_m[2]),
'[first_analysis_a]': first_m[0],
'[latest_analysis]': f"{first_m[1]}\n",
'[urls]': "",
'[most_analyzed]': f"{analytics_l[0]}{first_m[3]}",
'[least_analyzed]': f"{analytics_l[1]}{first_m[4]}\n",
'[most_enabled]': f"{analytics_l[4]}{first_m[7]}",
'[least_enabled]': f"{analytics_l[5]}{first_m[8]}\n",
'[most_missing]': f"{analytics_l[6]}{first_m[9]}",
'[least_missing]': f"{analytics_l[7]}{first_m[10]}\n",
'[most_fingerprints]': f"{analytics_l[8]}{first_m[11]}",
'[least_fingerprints]': f"{analytics_l[9]}{first_m[12]}\n",
'[most_insecure]': f"{analytics_l[10]}{first_m[13]}",
'[least_insecure]': f"{analytics_l[11]}{first_m[14]}\n",
'[most_empty]': f"{analytics_l[12]}{first_m[15]}",
'[least_empty]': f"{analytics_l[13]}{first_m[16]}\n",
'[most_warnings]': f"{analytics_l[2]}{first_m[5]}",
'[least_warnings]': f"{analytics_l[3]}{first_m[6]}\n"}
def print_global_metrics(analytics_l, analytics_s, analytics_w,
total_a, first_m, second_m, third_m, additional_m):
basic_m = get_basic_global_metrics(analytics_l, total_a, first_m)
error_m = get_security_metrics(analytics_s, second_m)
warning_m = get_warnings_metrics(additional_m, analytics_w)
averages_m = get_averages_metrics(analytics_w, third_m)
analysis_year_m = get_date_metrics(additional_m)
totals_m = {**basic_m, **error_m, **warning_m, **averages_m,
**analysis_year_m}
return {get_detail(key, replace=True): value for key, value in
totals_m.items()}
def csp_analyze_content(csp_header):
csp_deprecated = set()
csp_dirs = {dir.split()[0].strip() for dir in csp_header.split(';') if
dir.strip()}
csp_dirs_vals = [dir.strip() for dir in csp_header.split(';')]
for csp_dir in csp_dirs_vals:
csp_deprecated |= ({value for value in t_csp_dep if value in csp_dir})
if csp_deprecated:
csp_print_deprecated(csp_deprecated)
csp_check_missing(csp_dirs)
csp_check_additional(csp_dirs_vals)
def csp_check_missing(csp_dirs):
csp_refs = [('[icspmb_h]', '[icspmb]'), ('[icspmo_h]', '[icspmo]'),
('[icspmr_h]', '[icspmr]'), ('[icspms_h]', '[icspms]')]
for directive, (csp_ref_brief, csp_ref) in zip(t_csp_miss, csp_refs):
if directive not in csp_dirs:
csp_print_missing(csp_ref, csp_ref_brief)
def csp_print_missing(csp_ref, csp_ref_brief):
if args.brief:
i_cnt[0] += 1
print_detail_r(csp_ref_brief, is_red=True)
else:
print_details(csp_ref_brief, csp_ref, 'd', i_cnt)
def csp_check_additional(csp_dirs_vals):
if any(broadv in dir for dir in csp_dirs_vals for broadv in t_csp_broad):
csp_check_broad(csp_dirs_vals)
if any(insecv in dir for dir in csp_dirs_vals for insecv in t_csp_insecs):
csp_check_insecure(csp_dirs_vals)
if any(unsafv in dir for dir in csp_dirs_vals for unsafv in t_csp_insecv):
csp_check_unsafe(csp_dirs_vals)
def csp_check_broad(csp_dirs_vals):
csp_broad_v = set(token for dir_vals in csp_dirs_vals if dir_vals.strip()
for token in dir_vals.split()[1:]
if f" {token} " in t_csp_broad)
csp_broad_dirs = {dir_vals.split()[0] for dir_vals in csp_dirs_vals
if any(f" {token} " in t_csp_broad for token in
dir_vals.split()[1:])}
csp_print_broad(csp_broad_dirs, csp_broad_v, i_cnt)
def csp_print_broad(csp_broad_dirs, csp_broad_v, i_cnt):
print_detail_r('[icsw_h]', is_red=True)
if not args.brief:
print_detail_l('[icsp_s]' if len(csp_broad_dirs) > 1 else '[icsp_si]')
print(f" {', '.join(f"'{dir}'" for dir in sorted(csp_broad_dirs))}.")
print_detail_l('[icsw]')
print(', '.join(f"'{value}'" for value in csp_broad_v))
print_detail('[icsw_b]', num_lines=1)
i_cnt[0] += 1
def csp_check_insecure(csp_dirs_vals):
csp_insec_v = {value for value in t_csp_insecs if
any(value in dir for dir in csp_dirs_vals)}
csp_insec_dirs = {dir_vals.split()[0] for dir_vals in csp_dirs_vals
if any(unsafe_val in dir_vals for unsafe_val in
t_csp_insecs)}
csp_print_insecure(csp_insec_v, csp_insec_dirs, i_cnt)
def csp_print_insecure(csp_insec_v, csp_insec_dirs, i_cnt):
print_detail_r('[icsh_h]', is_red=True)
if not args.brief:
csp_values = ', '.join(f"'{value}'" for value in csp_insec_v)
print_detail_l('[icsp_s]' if len(csp_insec_dirs) > 1 else
'[icsp_si]')
print(f" {', '.join(f"'{dir}'" for dir in sorted(csp_insec_dirs))}.")
print_detail_l('[icsh]')
print(csp_values)
print_detail('[icsh_b]', num_lines=2)
i_cnt[0] += 1
def csp_check_unsafe(csp_dirs_vals):
csp_unsafe_dirs = []
for dir_vals in csp_dirs_vals:
csp_dir_name = dir_vals.split()[0] if ' ' in dir_vals else dir_vals
if any(f"'{unsafe_val}'" in dir_vals for unsafe_val in t_csp_insecv):
csp_unsafe_dirs.append(csp_dir_name)
csp_print_unsafe(csp_unsafe_dirs, i_cnt)
def csp_print_unsafe(csp_unsafe_dirs, i_cnt):
print_detail_r('[icsp_h]', is_red=True)
if not args.brief:
print_detail_l('[icsp_s]' if len(csp_unsafe_dirs) > 1 else '[icsp_si]')
print(f" {', '.join([f"'{dir}'" for dir in csp_unsafe_dirs])}.")
print_detail('[icsp]', num_lines=3)
i_cnt[0] += 1
def csp_check_nonces(csp_h):
csp_refs = ('[icsnces_h]', '[icsnces]')
nonces_csp = re.findall(RE_PATTERN[6], csp_h)
for nonce in nonces_csp:
if re.match(RE_PATTERN[12], nonce) and len(nonce) < 32:
print_details(*csp_refs, 'd', i_cnt)
break
elif re.match(RE_PATTERN[13], nonce):
try:
if len(base64.b64decode(nonce, validate=True)) < 16:
print_details(*csp_refs, 'd', i_cnt)
break
except Exception:
print_details(*csp_refs, 'd', i_cnt)
break
def csp_check_ip(csp_h):
ip_match = re.findall(RE_PATTERN[1], csp_h)
if ip_match != t_csp_checks[4]:
print_details('[icsipa_h]', '[icsipa]', 'm', i_cnt)
def csp_print_deprecated(csp_deprecated):
i_cnt[0] += 1
print_detail_r('[icsi_d]', is_red=True) if args.brief else \
csp_print_details(csp_deprecated, '[icsi_d]', '[icsi_d_s]',
'[icsi_d_r]')
def csp_print_details(csp_values, csp_title, csp_desc, csp_refs):
csp_values = ', '.join(f"'{value}'" for value in csp_values)
print_detail_r(f'{csp_title}', is_red=True)
print_detail_l(f'{csp_desc}')
print(csp_values)
print_detail(f'{csp_refs}')
def permissions_analyze_content(perm_header, i_cnt):
perm_broad_dirs = []
if 'none' in perm_header:
print_details('[ifpoli_h]', '[ifpoli]', 'd', i_cnt)
perm_dirs = sum(bool(perm_dir in perm_header) for perm_dir in t_per_ft)
try:
if perm_dirs >= 2:
perm_broad_dirs = [
dir.split('=')[0].strip() for dir in perm_header.split(',')
if any(broadp in dir.split('=')[1].strip() for broadp in
t_per_broad)]
except IndexError:
print_details('[ifpolf_h]', '[ifpolf]', "d", i_cnt)
return
if perm_broad_dirs:
permissions_print_broad(perm_broad_dirs, i_cnt)
def permissions_print_broad(perm_broad_dirs, i_cnt):
print_detail_r('[ifpol_h]', is_red=True)
if not args.brief:
print_detail_l('[icsp_s]' if len(perm_broad_dirs) > 1 else '[icsp_si]')
print(f" {', '.join(f"'{dir}'" for dir in perm_broad_dirs)}.")
print_detail('[ifpol]', num_lines=2)
i_cnt[0] += 1
def delete_lines(reliable=True):
if not reliable:
sys.stdout.write(DELETED_LINES)
sys.stdout.write(DELETED_LINES)
def print_export_path(filename, reliable):
delete_lines(reliable=False) if reliable else delete_lines()
if '-c' not in sys.argv:
print(f"{print_detail_s('[report]')} {path.abspath(filename)}")
def print_nowarnings():
print_detail('[no_warnings]')
def print_header(header):
print(f" {header}" if args.output else f"{STYLE[1]} {header}")
def print_fng_header(header):
if args.output:
print(f" {header}")
elif '[' in header:
prefix, _, suffix = header.partition(' [')
print(f"{STYLE[1]} {prefix}{STYLE[3]}{STYLE[5]} [{suffix}")
else:
print(f"{STYLE[1]} {header}")
def print_general_info(reliable, export_filename):
if not args.output:
delete_lines(reliable=False) if reliable else delete_lines()
print(f"\n{BANNER}\n ({URL_LIST[4]} | v.{local_version})")
elif args.output != 'pdf':
print(f"\n\n{HUMBLE_DESC}\n{URL_LIST[4]} | v.{local_version}\n")
print_basic_info(export_filename)
print_extended_info(args, reliable, status_code)
def print_basic_info(export_filename):
print(linesep.join(['']*2) if args.output == 'html' or not args.output
else "")
print_detail_r('[0section]')
print_detail_l('[analysis_date]')
print(f" {current_time}")
print(f'{URL_STRING[1]}{URL}')
if args.user_agent not in (None, '', '0'):
print(f"{get_detail('[ua_custom]', replace=True)} '{args.user_agent}'\
{get_detail('[ua_custom2]', replace=True)}")
if args.input_file:
print(f"{get_detail('[input_filename]')} {args.input_file}")
if export_filename:
print(f"{get_detail('[export_filename]', replace=True)} \
{export_filename}")
def print_extended_info(args, reliable, status_code):
if args.skip_headers:
print_skipped_headers(args)
if args.output == 'json':
print(get_detail('[limited_analysis_note]', replace=True))
if (status_code is not None and 400 <= status_code <= 451) or reliable or \
args.redirects or args.skip_headers:
print_extra_info(reliable)
def print_extra_info(reliable):
if (status_code is not None and 400 <= status_code <= 451):
id_mode = f'[http_{status_code}]'
if detail := print_detail(id_mode, 0):
print(detail)
print(f"{URL_LIST[2]}{status_code}")
if reliable:
print(get_detail('[unreliable_analysis_note]', replace=True))
if args.redirects:
print(get_detail('[analysis_redirects_note]', replace=True))
def print_response_headers():
print(linesep.join(['']*2))