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