Github被微软收购了?不过一点不影响打造Github代码泄露监控工具

 

0×01 撸起袖子开干

人生苦短,我用Python!

Python强大的库、简洁语言以及开发迅速等特点,深受广大程序开发者喜爱。那么我们就用Python来开发吧!

 

0×02 步骤解析

1.登陆Github

登陆这里设置了一个坑,登陆 https://github.com/login 会跳转到https://github.com/session ,然后提交请求主体。而主体包含了如下参数:

“commit=Sign+in&utf8=%E2%9C%93&authenticity_token=sClUkea9k0GJ%2BTVRKRYsvLKPGPfLDknMWVSd%2FyWvyGAR9Zz09bipesvXUo8ND2870Q2FEVsQWFKScyqtV0w1PA%3D%3D&login=YourUsername&password=YourPassword”

commit、uft8、login和password值相对来说是固定的,我们要做到工具登陆,那么需要获取到authenticity_token这个值,然后一起通过POST方法提交。那应该如何获取该值呢?

我们打开浏览器尝试手动正常登陆,同时按F12打开“开发者工具”,输入用户名和密码可以看到跳转到 https://github.com/session ,而authenticity_token的值就在如下图位置:

 

虽然是隐藏的,但是我们可以通过Xpath来获取它,然后跟其他参数一起提交登陆Github。看代码:

 

2.查询关键词及结果呈现

登陆后请求查询的URL,然后获取响应的页面,使用xpath解析节点获取想要的信息。关于xpath的语法请看这里

http://www.runoob.com/xpath/xpath-tutorial.html

	我们还要将获取的信息写入表格里面,便于以后查看。详情如下:def hunter(gUser,gPass,keyword,payloads):
 global sensitive_list
 global tUrls
 sensitive_list = []
 tUrls = []
 try:
 #创建表格
 csv_file = open('leak.csv','w',encoding='utf-8',newline='')
 writer = csv.writer(csv_file)
 #写入表头
 writer = writerow(['URL','Username','Upload Time','Filename'])
 
 #搜索信息
 s = login_github(gUser,gPass)
 print('登陆成功,正在检索泄露信息......')
 sleep(1)
 for page in tqdm(range(1,6)): #检索1到6页匹配关键词keyword的结果
 search_code = 'https://github.com/search?p=' + str(page) + '&q=' + keyword + '&type=Code' 
 resp = s.get(search_code)
 results_code = resp.text
 dom_tree_code = etree.HTML(results_code) #采用lxml提供的etree来解析结果
 Urls = dom_tree_code.xpath('//div[@class="d-inline-block col-10"]/a[2]/@href') #获取仓库地址
 users = dom_tree_code.xpath('//a[@class="text-blod"]/text()') #获取用户名
 datetime = dom_tree_code.xpath('//relative-time/text()') #获取上传时间
 filename = dom_tree_code.xpath('//div[@class="d-inline-block col-10"]/a[2]/text()') #获取上传的文件名称
 for i in range(len(Urls)):
 for Url in Urls:
 Url = 'https://github.com' + Url #获取的URl被截断,所以需要加入前缀便于访问
 tUrls.append(Url)
 writer.writerow([tUrls[i],users[i],datetime[i],filename[i]]) #写入表格文件
 '''
 以下部分主要是获取泄露的raw代码,然后在代码中搜索用户自定义的payload,例如 password,username,IP等等,然后把存在敏感关键词的URL存放在sensitvie_list列表中,用于后续的邮件发送预警。
 '''
 for raw_url in Urls:
 url = 'https://raw.githubusercontent.com' + raw_url.replace('/blob','')
 code = requests.get(url).text
 for payload in payloads:
 if payload in code:
 leak_url = '命中的Payload为:' + payload + '\r\n' + 'https://github.com' + raw_url + '\r\n\r\n\r\n' + '代码如下: \r\n' + code + '\r\n\r\n'
 sensitive_list.append(leak_url)
 csv_file.close()
 return sensitive_list
 except Exception as e:
 print(e)

以上代码的核心主要是采用xpath解析DOM树,然后根据需要的数据逐一获取然后写入表格中。最后请求raw.githubusercontent.com来获取源代码,根据用户提供的payload进行逐一匹配,如果匹配则记录payload、URL以及代码,然后发送邮件预警。

3.邮件预警

其实邮件发送部分不是工具的重点,但是还是有必要贴上代码部分。请看:

def send_warning(host,username,password,sender,receivers,content)
 def _format_addr(s):
 name,addr = parseaddr(s)
 return formataddr((Header(name,'utf-8').encode(),addr)
 msg = MIMEMultipart()
 msg['From'] = _format_addr('Github安全监控<%s>' % sender)
 msg['To'] = ''.join(receivers)
 Subject = 'Github敏感信息泄露通知'
 msg['Subject'] = Header(Subject,'utf-8').encode()
 msg.attach(MIMEText('Dear all \r\n\r\n请注意,怀疑Github上已经上传敏感信息!以下是可能存在敏感信息的仓库!\r\n\r\n'+content+'\r\n\r\n'))
 with open('leak.csv','rb') as f:
 m = MIMEBase('excel','csv',filename='leak.csv')
 m.add_header('Content-Disposition','attachment',filename = 'leak.csv'
 m.add_header('Content-ID','<0>')
 m.add_header('X-Attachment-ID','0')
 m.set_payload(f.read())
 encoders.encode_base64(m)
 msg.attach(m)
 try:
 server = smtplib.SMTP(host,25)
 server.login(username,password)
 server.sendmail(sender,receivers,msg.as_string())
 print('邮件发送成功!')
 except Exception as err:
 print(err)
 server.quit()

4.配置文件读取

我们将创建一个.ini的文件,便于工具读取我们想要传入工具的关键词、用户名、密码以及payload等等。ini配置文件定义如下:

[KEYWORD]
keyword = your main keyword here
[EMAIL]
host = Email server
user = Email User
password = Email password
[SENDER]
sender = The email sender
[RECEIVER]
receiver1 = Email receiver No.1
receiver2 = Email receiver No.2
[Github]
user = Github Username
password = Github Password
[PAYLOADS]
p1 = Payload 1
p2 = Payload 2
p3 = Payload 3
p4 = Payload 4
p5 = Payload 5
p6 = Payload 6

然后我们在main函数中读取它们,然后传入工具中。

if __name__ == '__main__':
 config = configparser.ConfigParser()
 config.read('info.ini')
 g_User = config['Github']['user']
 g_Pass = config['Github']['password']
 host = config['EMAIL']['host']
 m_User = config['EMAIL']['user']
 m_Pass = config['EMAIL']['password']
 m_sender = config['SENDER']['sender']
 receivers = []
 for k in config['RECEIVER']:
 receivers.append(config['RECEIVER'][k])
 keyword = config['KEYWORD']['keyword']
 payloads = []
 for key in config['PAYLOADS']:
 payloads.append(config['PAYLOADS'][key])
 sensitive_list = hunter(g_User, g_Pass, keyword, payloads)
 if sensitive_list:
 print('\033[1;31;0m警告:找到敏感信息!\r\n\033[0m')
 print('开始发送告警邮件......')
 content = ''.join(sensitive_list)
 send_warning(host, m_User, m_Pass, m_sender, receivers, content)
 else:
 print('恭喜:未找到敏感信息!\r\n')
 print('所有检查已完成,已生成报表!\r\n')
 print('开始发送报表......\r\n')
 send_mail(host, m_User, m_Pass, m_sender, receivers)

以上代码中存在另外一个send_mail函数,同样是发送邮件的功能跟send_warning功能一样,只是发送的内容不一样。这里不再赘述。这样我们就完成了整个工具的核心部分。怎么样?对于老司机来说很简单吧!

0×03 监控效果

1.运行效果

 

2.邮件预警

 

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转载自www.cnblogs.com/Python1234/p/9145280.html