|Gerard Wagener 16d5435b99||5 months ago|
|bin||5 months ago|
|README.md||1 year ago|
Read a pcap file and display potential backscatter traffic on standard output
This is very early stage and subject to change.
As there were some changes in libwiretap, at least the version 2.6.3-1 is required.
apt-get install libwiretap-dev apt-get install libhiredis-dev apt-get install libwsutil-dev apt-get install libpcap-dev apt-get install libglib2.0-dev make
./pibs -r pcapfile.cap -b
./pibs -u e344c4fb-442e-45a6-92b9-d8e30aeef448 -z 127.0.0.1 -p 6379 -y 2
Consumes the files from the worker queue and write potential backscatter on standard output. The worker queue should include absolute filenames. In the example the redis server server is listening on port 6379 on the interface 127.0.0.1. The redis database 2 is used as specified with the -y option. The string e344c4fb-442e-45a6-92b9-d8e30aeef448 is the uuid that must be inline with the worker.
pibs -r source.cap.gz -w backscatter.cap
Read the file source.cap.gz, identify potential backscatter and store it in the file backscatter.cap to be further analysed with other tools such as wireshark
pibs -r pcapfile.cap -s
Read the file source.cap, identify potential backscatter and display the usage of the used internal hash table. Feature for debugging purpose.
pibs -r pcapfile.cap -d
Dump the internal data structures for debugging purposes from the processing of the pcapfile.
Create fresh internal data structure as shared memory for multi processing purposes. The segment id is displayed on standard output.
pibs -n -i myinstance.shm
Create a shared memory and store the segment identifier in the file myinstance.shm
pibs -r pcapfile.cap.gz -a -i instance.shm
Read pcapfile.cap.gz identify potential backscatter and store it in the shared memory segment with the identifier stored in the file instance.shm. The previous states are taken into account.
pibs -i instance.shm -a -s
Display the usage of the internal hash table from the shared memory segment specified in the file instance.shm. This command can be executed in parallel while another pibs instance is filling it.