https://github.com/NullArray/PyCat

Python network tool, similar to Netcat with custom features.
https://github.com/NullArray/PyCat

netcat network pentesting scanner

Last synced: 3 months ago
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Python network tool, similar to Netcat with custom features.

• Host: GitHub
• URL: https://github.com/NullArray/PyCat
• Owner: NullArray
• License: gpl-3.0
• Created: 2015-09-20T02:33:13.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2017-05-31T16:40:58.000Z (over 7 years ago)
• Last Synced: 2024-08-03T17:11:09.282Z (3 months ago)
• Topics: netcat, network, pentesting, scanner
• Language: Python
• Homepage:
• Size: 32.2 KB
• Stars: 190
• Watchers: 23
• Forks: 58
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# PyCat

Python Net Tool

PyCat is a python replacement tool for netcat. That automatically scans for hosts that are up on the local network. Simply run PyCat.py without arguments to automatically start scanning the network. CTRL+C will interrupt scanning and display the options for interacting with hosts that are up.

# Update

I've added a timer set to 15 seconds on the main loop in scanner.py so that even if the scanner can't detect anything on the subnet or we are unable to send CTRL+C; e.g. we have PyCat on a remote server and can't send a keyboard interrupt through our shell, the program won't be scanning indefinitely and will automatically continue with it's normal operation.

# Usage

The options to use PyCat are as follows.

```

PyCat.py -h --help

Display this help message

PyCat.py -l --listen

Listen on [host]:[port] for incoming connections

PyCat.py -c --command

Initialize a command shell

PyCat.py -e --execute=file_to_run

Execute file upon connection

PyCat.py -u --upload=destination

Upon connection upload file and write to [destination]

```

The target host and port can be specified with the -t and -p options respectively as shown in the example below.

```

PyCat.py -t 192.168.0.1 -p 5555 -l -u=c:\\target.exe

```

This tool was by in large inspired by Black Hat Python and i might expand on it's functionality in the future.