python 破解字体反爬 (一)

本文介绍如何解决爬取58同城网站时遇到的字体反爬虫问题,通过解析自定义字体文件,获取字体映射表,实现正常数据抓取。

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爬取一些网站的信息时,偶尔会碰到这样一种情况:网页浏览显示是正常的,用python爬取下来是乱码,F12用开发者模式查看网页源代码也是乱码。这种一般是网站设置了字体反爬

这里我们以58同城为例:

点击进入https://sz.58.com/chuzu/链接:

网页显示数据为:

网页原码数据为: 

 

 从上面可以看出,生这个字变成了乱码,请大家特别注意箭头所指的数字。

在这里里我们确定该网站设置了字体反爬;

一说到字体反爬那我们得先了解CSS3 @font-face 规则:

 

ttf文件: *.ttf是字体文件格式。TTF(TrueTypeFont)是Apple公司和Microsoft公司共同推出的字体文件格式,随着windows的流行,已经变成最常用的一种字体文件表示方式。

@font-face 是CSS3中的一个模块,主要是实现将自定义的Web字体嵌入到指定网页中去。

font-face是css3中允许使用自定义字体的一个模块。

基础知识参考:https://www.runoob.com/cssref/css3-pr-font-face-rule.html

 

了解完这个知识点我们就可以开始下一步操作了:

(1)找到字体文件,并保存下来格式为.ttf:

回到网页上,右键查看网页源代码,搜索font-face关键字,可以看到一大串用base64加密的字符,把这些加密字符复制下来,直接进行解密,但是解密出来的其实是乱码,这个时候其实要做的很简单,把解密后的内容保存为.ttf格式即可。

在python中用base64对复制下来的加密字符进行解码并保存为58.ttf

import base64
font_face='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'
b = base64.b64decode(font_face)
with open('58.ttf','wb') as f:
    f.write(b)

在网上搜索下载并安装字体处理软件FontCreator,用软件打开保存的解码文件58.ttf

现在我们可以得到解决问题的思路了:

1、获取自定义字体和正常字体的映射表,比如:9F92对应的数字是2,9EA3对应的是1。

2、把页面上的自定义字体替换成正常字体,这样就可以正常爬取了。

怎样来获取字体映射表呢?静态的还好,我们用FontCreator工具解析后,直接写死到字典中。但是如果字体映射关系是动态的呢?比如,我们刷新当前页面后,再来查看页面源码:

字体映射关系变了,这样的话,就只能请求一次页面,就获取一次映射关系,用第三方库fontTools来实现。

安装fontTools库,直接pip install fontTools

先来看下ttf文件中有哪些信息,直接打开ttf文件那当然看不了,把它转换成xml文件就可以查看了

from fontTools.ttLib import TTFont

font = TTFont('58.ttf') # 打开本地的ttf文件
font.saveXML('58.xml')  # 转换成xml

打开xml文件,可以看到类似html标签的文件结构:

点开GlyphOrder标签,可以看到Id和name

点开glyf标签,看到的是name和一些坐标点,这些座标点就是描绘字体形状的,这里不需要关注这些坐标点。

 

 点开cmap标签,是编码和name的对应关系

从这张图我们可以发现,glyph00001对应的是数字0,glyph00002对应的是数字1,以此类推......glyph00010对应的是数字9,

这是怎么发现的呢:

再看看ttf格式:

这样我们不就知道了:

 glyph00010对应的是数字9了,其他的都是这么来的

 

用代码来获取编码和name的对应关系:

from fontTools.ttLib import TTFont

font = TTFont('58.ttf') #打开本地的ttf文件
bestcmap = font['cmap'].getBestCmap()
print(bestcmap)

输出如下:

输出的是一个字典,key是编码的int型

{38006: 'glyph00006', 38287: 'glyph00008', 39228: 'glyph00001', 39499: 'glyph00005', 40506: 'glyph00010', 40611: 'glyph00002', 40804: 'glyph00007', 40850: 'glyph00003', 40868: 'glyph00004', 40869: 'glyph00009'}

我们把这个字典转一下,变成编码和正常字体的映射关系:

import re
from fontTools.ttLib import TTFont

font = TTFont('58.ttf') #打开本地的ttf文件
bestcmap = font['cmap'].getBestCmap()
newmap = dict()
for key in bestcmap.keys():
    value = int(re.search(r'(\d+)', bestcmap[key]).group(1)) - 1
    key = hex(key)
    newmap[key] = value
print(newmap)

输出:

{'0x9476': 5, '0x958f': 7, '0x993c': 0, '0x9a4b': 4, '0x9e3a': 9, '0x9ea3': 1, '0x9f64': 6, '0x9f92': 2, '0x9fa4': 3, '0x9fa5': 8}

现在就可以把页面上的自定义字体替换成正常字体,再解析了,全部代码如下:

'''
#(第一步,保存字体加密的文件)
import base64
font_face='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'
b = base64.b64decode(font_face)
with open('58.ttf','wb') as f:
    f.write(b)


#(第二步)ttf转换xml
from fontTools.ttLib import TTFont
font = TTFont('58.ttf') # 打开本地的ttf文件
font.saveXML('58.xml')  # 转换成xml


#(第三步)用代码来获取编码和name的对应关系:
from fontTools.ttLib import TTFont
font = TTFont('58.ttf') #打开本地的ttf文件
bestcmap = font['cmap'].getBestCmap()
print(bestcmap)

#(第四步)我们把这个字典转一下,变成编码和正常字体的映射关系:
import re
from fontTools.ttLib import TTFont

font = TTFont('58.ttf') #打开本地的ttf文件
bestcmap = font['cmap'].getBestCmap()
newmap = dict()
for key in bestcmap.keys():
    value = int(re.search(r'(\d+)', bestcmap[key]).group(1)) - 1
    key = hex(key)
    newmap[key] = value
print(newmap)
'''

#完整代码
import requests
import re
import base64
import io
from lxml import etree
from fontTools.ttLib import TTFont

url = r'https://sz.58.com/chuzu/'
headers = {
    'User-Agent':'Mozilla/5.0 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)'
}
response = requests.get(url=url,headers=headers)
# 获取加密字符串
base64_str = re.search("base64,(.*?)'\)",response.text).group(1)
b = base64.b64decode(base64_str)
font = TTFont(io.BytesIO(b))
bestcmap = font['cmap'].getBestCmap()
newmap = dict()
for key in bestcmap.keys():
    value = int(re.search(r'(\d+)', bestcmap[key]).group(1)) - 1
    key = hex(key)#10十进制转换16进制
    newmap[key] = value
# 把页面上自定义字体替换成正常字体
response_ = response.text

for key,value in newmap.items():
    key_ = key.replace('0x','&#x') + ';'
    if key_ in response_:
        response_ = response_.replace(key_,str(value))
# 获取任意一个价钱
rec = etree.HTML(response_)
lis = rec.xpath('string(//div[@class="money"]/b[@class="strongbox"]/text())')
print(lis)

 

参考链接:

https://cuiqingcai.com/6431.html

https://blog.youkuaiyun.com/Obgo_6/article/details/101169682

https://www.cnblogs.com/eastonliu/p/9925652.html

 

### 使用 Python 实现字体虫解析与处理 当遇到字体加密的虫机制时,通常是因为网站使用了自定义字体文件来替代标准字符编码。为了应对这种情况,可以通过以下方法进行破解: #### 1. 获取原始字库映射关系 通过浏览器开发者工具中的网络请求面板找到加载的 `.woff` 或者其他类型的字体文件链接。下载该字体文件并利用 `fontTools` 库读取其表结构。 ```python from fontTools.ttLib import TTFont # 加载本地保存下来的 .woff 字体文件 font = TTFont('path_to_font_file.woff') # 打印出所有的 cmap 表项 (即 Unicode 编码到 glyph ID 的映射) for table in font['cmap'].tables: for code, name in table.cmap.items(): print(f"{code}: {name}") ``` 此部分操作能够帮助建立从网页源代码中获取的乱码字符串到实际可读文本之间的对照表[^3]。 #### 2. 解析 CSS 文件定位 @font-face 定义 许多情况下,网站会动态生成或修改用于指定特殊字体样式的CSS样式规则。因此还需要进步分析目标站点上的 CSS 资源,特别是查找包含有 `@font-face` 声明的部分,从中提取出字体名称以及对应的 URL 地址。 ```css /* 示例 */ @font-face { font-family: 'CustomFont'; src: url('/fonts/custom-font.woff') format('woff'); } ``` 了解这些信息有助于确认之前所提到的字体文件确实是用来替换正文内容的关键所在。 #### 3. 构建解密函数完成最终旦获得了完整的字形映射数据之后就可以编写个简单的辅助程序来进行批量替换了。这里给出段基于前面两步工作的简单例子: ```python def decrypt_text(encrypted_str, mapping_dict): decrypted_chars = [] # 遍历输入串里的每个字符,并依据事先准备好的映射字典做相应变换 for char in encrypted_str: if ord(char) in mapping_dict: decrypted_chars.append(chr(mapping_dict[ord(char)])) else: decrypted_chars.append(char) return ''.join(decrypted_chars) if __name__ == '__main__': sample_encrypted_string = "..." unicode_map = {...} # 这里应该填入由第步得到的结果 result = decrypt_text(sample_encrypted_string, unicode_map) print(result) ``` 上述过程展示了如何运用 Python 来解决因字体加密而导致的数据采集难题。值得注意的是,在具体实施过程中可能还会涉及到更多细节调整和技术手段的应用,例如处理多套不同版本的字体方案或是适应更加复杂的编码逻辑变化等问题。
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