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324 lines (275 loc) · 10.7 KB
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import json
import os
import random
import shutil
import subprocess
import tempfile
from io import BytesIO
from PIL import Image, ImageDraw, ImageFont
from ranged_response import RangedFileResponse
from django.core.exceptions import ImproperlyConfigured
from django.http import Http404, HttpResponse
from captcha.conf import settings
from captcha.helpers import captcha_audio_url, captcha_image_url
from captcha.models import CaptchaStore
# Distance of the drawn text from the top of the captcha image
DISTANCE_FROM_TOP = 4
def getsize(font, text):
if hasattr(font, "getbbox"):
_top, _left, _right, _bottom = font.getbbox(text)
return _right - _left, _bottom - _top
elif hasattr(font, "getoffset"):
return tuple([x + y for x, y in zip(font.getsize(text), font.getoffset(text))])
else:
return font.getsize(text)
def makeimg(size):
if settings.CAPTCHA_BACKGROUND_COLOR == "transparent":
image = Image.new("RGBA", size)
else:
image = Image.new("RGB", size, settings.CAPTCHA_BACKGROUND_COLOR)
return image
def add_noise(image):
draw = ImageDraw.Draw(image)
for f in settings.noise_functions():
draw = f(draw, image)
for f in settings.filter_functions():
image = f(image)
return image
def _captcha_image(store, scale):
text = store.challenge
if isinstance(settings.CAPTCHA_FONT_PATH, str):
fontpath = settings.CAPTCHA_FONT_PATH
elif isinstance(settings.CAPTCHA_FONT_PATH, (list, tuple)):
fontpath = random.choice(settings.CAPTCHA_FONT_PATH)
else:
raise ImproperlyConfigured(
"settings.CAPTCHA_FONT_PATH needs to be a path to a font or list of paths to fonts"
)
if fontpath.lower().strip().endswith("ttf"):
font = ImageFont.truetype(fontpath, settings.CAPTCHA_FONT_SIZE * scale)
else:
font = ImageFont.load(fontpath)
if settings.CAPTCHA_IMAGE_SIZE:
size = settings.CAPTCHA_IMAGE_SIZE
else:
size = getsize(font, text)
size = (size[0] * 2, int(size[1] * 1.4))
image = makeimg(size)
xpos = 2
charlist = []
for char in text:
if char in settings.CAPTCHA_PUNCTUATION and len(charlist) >= 1:
charlist[-1] += char
else:
charlist.append(char)
if settings.CAPTCHA_ANIMATED:
frames = []
for index, char in enumerate(charlist):
# If we're rendering an animated captcha, render
# each char onto a fresh image.
if settings.CAPTCHA_ANIMATED:
image = makeimg(size)
fgimage = Image.new(
"RGB", size, settings.get_letter_color(index, "".join(charlist))
)
charimage = Image.new("L", getsize(font, " %s " % char), "#000000")
chardraw = ImageDraw.Draw(charimage)
chardraw.text((0, 0), " %s " % char, font=font, fill="#ffffff")
if settings.CAPTCHA_LETTER_ROTATION:
charimage = charimage.rotate(
random.randrange(*settings.CAPTCHA_LETTER_ROTATION),
expand=0,
resample=Image.BICUBIC,
)
charimage = charimage.crop(charimage.getbbox())
maskimage = Image.new("L", size)
maskimage.paste(
charimage,
(
xpos,
DISTANCE_FROM_TOP,
xpos + charimage.size[0],
DISTANCE_FROM_TOP + charimage.size[1],
),
)
size = maskimage.size
image = Image.composite(fgimage, image, maskimage)
xpos = xpos + 2 + charimage.size[0]
# Animated captcha: apply individual noise on each frame
if settings.CAPTCHA_ANIMATED:
image = add_noise(image)
frames.append(image)
if settings.CAPTCHA_ANIMATED:
for i, frame in enumerate(frames):
if settings.CAPTCHA_IMAGE_SIZE:
# centering captcha on the image
tmpimg = makeimg(size)
tmpimg.paste(
frame,
(
int((size[0] - xpos) / 2),
int((size[1] - charimage.size[1]) / 2 - DISTANCE_FROM_TOP),
),
)
frames[i] = tmpimg.crop((0, 0, size[0], size[1]))
else:
frames[i] = frame.crop((0, 0, xpos + 1, size[1]))
else:
if settings.CAPTCHA_IMAGE_SIZE:
# centering captcha on the image
tmpimg = makeimg(size)
tmpimg.paste(
image,
(
int((size[0] - xpos) / 2),
int((size[1] - charimage.size[1]) / 2 - DISTANCE_FROM_TOP),
),
)
image = tmpimg.crop((0, 0, size[0], size[1]))
else:
image = image.crop((0, 0, xpos + 1, size[1]))
out = BytesIO()
if settings.CAPTCHA_ANIMATED:
frames[0].save(
out,
"AVIF" if settings.CAPTCHA_ANIMATED_USE_AVIF else "GIF",
save_all=True,
append_images=frames[1:],
optimise=False,
duration=500,
loop=0,
disposal=2,
)
content_type = (
"image/avif" if settings.CAPTCHA_ANIMATED_USE_AVIF else "image/gif"
)
else:
image = add_noise(image)
image.save(out, "PNG")
content_type = "image/png"
out.seek(0)
response = HttpResponse(content_type=content_type)
response.write(out.read())
response["Content-length"] = out.tell()
return response
def captcha_image(request, key, scale=1):
if scale == 2 and not settings.CAPTCHA_2X_IMAGE:
raise Http404
try:
store = CaptchaStore.objects.get(hashkey=key)
except CaptchaStore.DoesNotExist:
# HTTP 410 Gone status so that crawlers don't index these expired urls.
return HttpResponse(status=410)
try:
random.seed(key) # Do not generate different images for the same key
response = _captcha_image(store, scale)
finally:
# We fixed the random seed so that we always generate the
# same image, see: https://github.com/mbi/django-simple-captcha/pull/194
# This is a problem though, because knowledge of the seed will let an attacker
# predict the next random (globally). We therefore reset the random here.
# Reported in https://github.com/mbi/django-simple-captcha/pull/221
random.seed()
return response
def captcha_audio(request, key):
if settings.CAPTCHA_FLITE_PATH:
try:
store = CaptchaStore.objects.get(hashkey=key)
except CaptchaStore.DoesNotExist:
# HTTP 410 Gone status so that crawlers don't index these expired urls.
return HttpResponse(status=410)
text = store.challenge
if "captcha.helpers.math_challenge" == settings.CAPTCHA_CHALLENGE_FUNCT:
text = text.replace("*", "times").replace("-", "minus").replace("+", "plus")
else:
text = ", ".join(list(text))
# Generate audio in a private per-request temp directory. mkdtemp()
# creates the directory with restrictive (0700 on POSIX) permissions,
# which prevents other users from pre-creating or symlinking the files
# we write into it (a TOCTOU/race that affected the previous approach of
# building paths by hand in the shared, world-writable
# tempfile.gettempdir()). The finally block below guarantees cleanup even
# on exception, so we no longer leak .wav files in the temp dir.
workdir = tempfile.mkdtemp(prefix="captcha_audio_")
try:
speech_path = os.path.join(workdir, "speech.wav")
subprocess.run(
[settings.CAPTCHA_FLITE_PATH, "-t", text, "-o", speech_path],
check=False,
)
final_path = speech_path
# Add arbitrary noise if sox is installed
if settings.CAPTCHA_SOX_PATH:
try:
sample_rate = (
subprocess.run(
[settings.CAPTCHA_SOX_PATH, "--i", "-r", speech_path],
capture_output=True,
)
.stdout.decode()
.strip()
)
except Exception:
sample_rate = "8000"
noise_path = os.path.join(workdir, "noise.wav")
merged_path = os.path.join(workdir, "merged.wav")
subprocess.run(
[
settings.CAPTCHA_SOX_PATH,
"-r",
sample_rate,
"-n",
noise_path,
"synth",
"2",
"brownnoise",
"gain",
"-15",
],
check=False,
)
subprocess.run(
[
settings.CAPTCHA_SOX_PATH,
"-m",
noise_path,
speech_path,
"-t",
"wavpcm",
"-b",
"16",
merged_path,
],
check=False,
)
final_path = merged_path
if os.path.isfile(final_path):
# Stream the file into a TemporaryFile (deleted on close) and
# return it; the workdir itself is torn down in finally.
temporary_file = tempfile.TemporaryFile()
with open(final_path, "rb") as original_file:
temporary_file.write(original_file.read())
temporary_file.seek(0)
response = RangedFileResponse(
request, temporary_file, content_type="audio/wav"
)
response[
"Content-Disposition"
] = 'attachment; filename="{}.wav"'.format(key)
return response
finally:
shutil.rmtree(workdir, ignore_errors=True)
raise Http404
def captcha_refresh(request):
"""Return json with new captcha for ajax refresh request"""
if not request.headers.get("x-requested-with") == "XMLHttpRequest":
raise Http404
new_key = CaptchaStore.pick()
to_json_response = {
"key": new_key,
"image_url": captcha_image_url(new_key),
"audio_url": captcha_audio_url(new_key)
if settings.CAPTCHA_FLITE_PATH
else None,
}
return HttpResponse(json.dumps(to_json_response), content_type="application/json")