我使用Pillow lib来创建缩略图。我必须创建很多,实际上超过10.000
该程序运行正常,但在处理大约1.500后,我收到以下错误:
Traceback (most recent call last):
File "thumb.py", line 15, in <module>
im = Image.open('/Users/Marcel/images/07032017/' + infile)
File "/Users/Marcel/product-/PIL/Image.py", line 2339, in open
im = _open_core(fp, filename, prefix)
File "/Users/Marcel/product-/PIL/Image.py", line 2329, in _open_core
im = factory(fp, filename)
File "/Users/Marcel/product-/PIL/ImageFile.py", line 97, in __init__
self._open()
File "/Users/Marcel/product-/PIL/PngImagePlugin.py", line 538, in _open
s = self.png.call(cid, pos, length)
File "/Users/Marcel/product-/PIL/PngImagePlugin.py", line 136, in call
return getattr(self, "chunk_" + cid.decode('ascii'))(pos, length)
File "/Users/Marcel/product-/PIL/PngImagePlugin.py", line 319, in chunk_iCCP
icc_profile = _safe_zlib_decompress(s[i+2:])
File "/Users/Marcel/product-/PIL/PngImagePlugin.py", line 90, in _safe_zlib_decompress
raise ValueError("Decompressed Data Too Large")
ValueError: Decompressed Data Too Large
我的计划很直接:
import os, sys
import PIL
from PIL import Image
size = 235, 210
reviewedProductsList = open('products.txt', 'r')
reviewedProducts = reviewedProductsList.readlines()
t = map(lambda s: s.strip(), reviewedProducts)
print "Thumbs to create: '%s'" % len(reviewedProducts)
for infile in t:
outfile = infile
try:
im = Image.open('/Users/Marcel/images/07032017/' + infile)
im.thumbnail(size, Image.ANTIALIAS)
print "thumb created"
im.save('/Users/Marcel/product-/thumbs/' + outfile, "JPEG")
except IOError, e:
print "cannot create thumbnail for '%s'" % infile
print "error: '%s'" % e
我在MacBook Pro上本地执行此操作。
答案 0 :(得分:5)
这是为了防止因减压炸弹对运行Pillow的服务器造成潜在的DoS攻击。当发现解压缩的图像具有太大的元数据时,会发生这种情况。见http://pillow.readthedocs.io/en/4.0.x/handbook/image-file-formats.html?highlight=decompression#png
以下是CVE报告:https:// www.cvedetails.com/cve/CVE-2014-9601 /
最近一期:
如果将ImageFile.LOAD_TRUNCATED_IMAGES设置为true,则会禁止显示 错误(但仍未读取大型元数据)。或者,你可以 更改在此设置值:https://github.com/python-pillow/Pillow/ blob / master / PIL / PngImagePlugin.py#L74
答案 1 :(得分:1)
以下代码将帮助您设置可接受的答案。
from PIL import PngImagePlugin
LARGE_ENOUGH_NUMBER = 100
PngImagePlugin.MAX_TEXT_CHUNK = LARGE_ENOUGH_NUMBER * (1024**2)
尚未记录如何设置此值。我希望人们觉得这有用。