python-netfilter | python modules to manipulate iptables rules | Firewall library
kandi X-RAY | python-netfilter Summary
kandi X-RAY | python-netfilter Summary
python-netfilter is a set of modules for the Python programming language which allows you to manipulate netfilter rules.
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Top functions reviewed by kandi - BETA
- Run the program
- Accept icmp
- Start the policy
- Print message to stderr
- List the rules for a chain
- Pull extension options from the given bitstring
- Parse rules from data
- Parse the iptables rule
- List all available chains
- Parse the chain definition
- Rename a chain
- Get the policy for a given chain name
- Delete rule from chain
- Prepend a rule to the chain
- Redirect HTTP to the given port
- Enable source NAT rule
- Commit the buffer
- Accept an Accept rule
- Accepts an incoming protocol
- Create a new chain
python-netfilter Key Features
python-netfilter Examples and Code Snippets
Community Discussions
Trending Discussions on python-netfilter
QUESTION
I am trying to code a python script that intercepts all HTTP requests that comes to the eth0 interface on my Linux machine.
I can only see the HTTP packets that are sent from the clients to the servers (eg. 192.168.1.201 -> 151.101.1.69) but I never see HTTP packets that are sent from the servers to the clients (eg. 151.101.1.69 -> 192.168.1.201)...
Here is the full python script...
When run, it only passes on the following condition :
...ANSWER
Answered 2019-Dec-04 at 15:48The problem was due to the "arpspoof" command that was issued before launching this script. It is the arpspoof command that is creating the filter for the network packets to intercept.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install python-netfilter
You can use python-netfilter like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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