本文较为详细的讲述了Python实现远程调用MetaSploit的方法,对Python的学习来说有很好的参考价值。具体实现方法如下:
(1)安装Python的msgpack类库,MSF官方文档中的数据序列化标准就是参照msgpack。
root@kali:~# apt-get install python-setuptools root@kali:~# easy_install msgpack-python
(2)创建createdb_sql.txt:
create database msf; create user msf with password 'msf123'; grant all privileges on database msf to msf;
(3)在PostgreSQL 执行上述文件:
root@kali:~# /etc/init.d/postgresql start root@kali:~# sudo -u postgres /usr/bin/psql < createdb_sql.txt
(4)创建setup.rc文件
db_connect msf:msf123@127.0.0.1/msf load msgrpc User=msf Pass='abc123'
(5)启动MSF并执行载入文件
root@kali:~# msfconsole -r setup.rc * SNIP * [*] Processing setup.rc for ERB directives. resource (setup.rc)> db_connect msf:msf123@127.0.0.1/msf [*] Rebuilding the module cache in the background... resource (setup.rc)> load msgrpc User=msf Pass='abc123' [*] MSGRPC Service: 127.0.0.1:55552 [*] MSGRPC Username: msf [*] MSGRPC Password: abc123 [*] Successfully loaded plugin: msgrpc
(6)Github上有一个Python的类库,不过很不好用
root@kali:~# git clone git://github.com/SpiderLabs/msfrpc.git msfrpc root@kali:~# cd msfrpc/python-msfrpc root@kali:~# python setup.py install
测试代码如下:
#!/usr/bin/env python import msgpack import httplib class Msfrpc: class MsfError(Exception): def __init__(self,msg): self.msg = msg def __str__(self): return repr(self.msg) class MsfAuthError(MsfError): def __init__(self,msg): self.msg = msg def __init__(self,opts=[]): self.host = opts.get('host') or "127.0.0.1" self.port = opts.get('port') or 55552 self.uri = opts.get('uri') or "/api/" self.ssl = opts.get('ssl') or False self.authenticated = False self.token = False self.headers = {"Content-type" : "binary/message-pack" } if self.ssl: self.client = httplib.HTTPSConnection(self.host,self.port) else: self.client = httplib.HTTPConnection(self.host,self.port) def encode(self,data): return msgpack.packb(data) def decode(self,data): return msgpack.unpackb(data) def call(self,meth,opts = []): if meth != "auth.login": if not self.authenticated: raise self.MsfAuthError("MsfRPC: Not Authenticated") if meth != "auth.login": opts.insert(0,self.token) opts.insert(0,meth) params = self.encode(opts) self.client.request("POST",self.uri,params,self.headers) resp = self.client.getresponse() return self.decode(resp.read()) def login(self,user,password): ret = self.call('auth.login',[user,password]) if ret.get('result') == 'success': self.authenticated = True self.token = ret.get('token') return True else: raise self.MsfAuthError("MsfRPC: Authentication failed") if __name__ == '__main__': # Create a new instance of the Msfrpc client with the default options client = Msfrpc({}) # Login to the msfmsg server using the password "abc123" client.login('msf','abc123') # Get a list of the exploits from the server mod = client.call('module.exploits') # Grab the first item from the modules value of the returned dict print "Compatible payloads for : %s\n" % mod['modules'][0] # Get the list of compatible payloads for the first option ret = client.call('module.compatible_payloads',[mod['modules'][0]]) for i in (ret.get('payloads')): print "\t%s" % i
相信本文所述方法对大家的Python学习可以起到一定的学习借鉴作用。

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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