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In a lot of places in ndPI we use *packet* source/dest info (address/port/direction) when we are interested in *flow* client/server info, instead. Add basic logic to autodetect this kind of information. nDPI doesn't perform any "flow management" itself but this task is delegated to the external application. It is then likely that the application might provide more reliable hints about flow client/server direction and about the TCP handshake presence: in that case, these information might be (optionally) passed to the library, disabling the internal "autodetect" logic. These new fields have been used in some LRU caches and in the "guessing" algorithm. It is quite likely that some other code needs to be updated. |
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| .. | ||
| ndpi | ||
| DEV_GUIDE.md | ||
| dev_requirements.txt | ||
| ndpi_example.py | ||
| README.md | ||
| requirements.txt | ||
| setup.py | ||
| tests.py | ||
ndpi
This package contains Python bindings for nDPI. nDPI is an Open and Extensible LGPLv3 Deep Packet Inspection Library.
ndpi is implemented using CFFI (out-of-line API mode). Consequently, it is fast and PyPy compliant.
Installation
Build nDPI
git clone --branch dev https://github.com/ntop/nDPI.git
cd nDPI
./autogen.sh
./configure
make
sudo make install
Install ndpi package
cd python
python3 -m pip install --upgrade pip
python3 -m install -r dev_requirements.txt
python3 -m pip install .
Usage
API
from ndpi import NDPI, NDPIFlow
nDPI = NDPI()
# You per flow processing here
# ...
ndpi_flow = NDPIFlow()
nDPI.process_packet(ndpi_flow, ip_bytes, time_ms)
nDPI.giveup(ndpi_flow) # If you want to guess it instead (DPI fallback)
Example Application
ndpi_example.py is provided to demonstrate how ndpi can be integrated within your Python application.
Using nDPI 4.3.0-3532-8dd70b70
usage: ndpi_example.py [-h] [-u] input
positional arguments:
input input pcap file path
optional arguments:
-h, --help show this help message and exit
-u, --include-unknowns
Example with a Skype capture file
python3 ndpi_example.py -u ../tests/pcap/skype.pcap
Related projects
The provided example is for demo purposes only, For additional features (live capture, multiplatform support, multiprocessing, ML based classification, system visibility, etc.), please check nDPI based framework, NFStream.
License
This project is licensed under the LGPLv3 License - see the License file for details.