PCAP Command-Line Madness!

PCAP Command-Line Madness!

PCAP Command-Line Madness! Hal Pomeranz / [email protected] / @hal_pomeranz tcpdump You can use it to capture some packets tcpdump –n –i ens0 –w full-packets.pcap Or maybe just the packet headers tcpdump –n –i ens0 –s 160 –w headers-only.pcap But did you know? You can capture a collection of PCAP files tcpdump –n –i ens0 –w mypcap –C 1000 –W 7 tcpdump –n –i ens0 –w mypcap-%j –G 86400 –W 14 You can filter large PCAPs into smaller chunks tcpdump –n –r large.pcap –w dns.pcap 'port 53' tcpdump –n –r large.pcap –w smb.pcap 'tcp and port 445' tshark All the filtering power of Wireshark Only output the fields you want It's like AWK for packets! tshark -n -r example.pcap -Y http.request -T fields -e frame.time -e ip.src -e http.request.method -e http.host -e http.request.uri -e http.user_agent -e http.referer Ugh! That timestamp! Default timestamp format is ugly Sneaky conversion trick: -e frame.time_epoch + AWK tshark -n -r example.pcap -Y http.request -T fields -e frame.time_epoch … | awk '{$1=strftime("%F %T", $1); print}' Because I sed So tshark and shell commands go great together! Let's look at Google search activity in a PCAP tshark -n -r example.pcap -Y 'http.host contains google.com and http.request.uri contains "/search?"' -T fields -e http.request.uri | sed 's/.*q=//' | sed 's/&.*//' The Command-Line Histogram Find the most visited web sites tshark -n -r example.pcap -Y 'http.request' -T fields -e http.host | sort | uniq -c | sort -n Noise Reduction Only track sites with Google analytics cookies Gives you top web sites visited, no advertising domains tshark -n -r example.pcap -Y 'http.cookie contains "_utm"' -T fields -e http.host | sort | uniq -c | sort -n Other Useful PCAP Tools capinfos – Show basic PCAP stats editcap – Split PCAPs by date and time ngrep – String searching in packet content tcpflow – Write TCP streams to files nfpcapd – Create Netflow data from PCAP Snort and Bro can also read from PCAPs! Thanks For Listening! Any final questions? Hal Pomeranz [email protected] @hal_pomeranz Slides! – http://deer-run.com/~hal/.

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