This is a tool to visualize PCAPs. It makes a couple assumptions about your PCAP files. First they should have a naming scheme as follows:

<device-label>-<YY>-<MM>-<DD>.pcap

Secondly it assumes your PCAPs have been carved such that all packets in the capture revolve a particular IP address, naming the one the PCAP has as the device label in the filename.

To get started, first ensure you have Docker and Git installed, then build the image for this tool as follows:

git clone https://va-vsrv-github.a.internal/CyberReboot/pcapplot
cd pcapplot
docker build -t pcapplot .

Once the image is built, you can run the tool in a container and map in your PCAPs via volumes as follows:

docker run -it \
           -v ~/my_local_pcaps:/pcaps \
           -v $(pwd)/www:/pcapplot/www \
           pcapplot

This tool can take either a directory of PCAPs and process them all (like the above), or you can specify a single PCAP file if you like. Here's an example to do the later:

docker run -it \
           -v ~/my_local_pcaps:/pcaps \
           -v $(pwd)/www:/pcapplot/www \
           pcapplot \
           iphone-16-09-23.pcap

Once the tool is finished processing, it will point you to the location of the images it has created (note the volume for www, which lets you retain your images after the container exits). If you want to add more data to your visualization just run the container again with new PCAPs and it will add it to the visualization (note the same filename will overwrite any pre-existing results with that filename).

You can also run the tool for viewing without adding additional data by using the following:

docker run -it \
           -v $(pwd)/www:/pcapplot/www \
           pcapplot \
           []

If you prefer to just save the images you can add -s to the end of the docker command and it will just save the image.