OtterCTF 2018 – Network Challenges – Look At Me Write-up

OtterCTF dates from December 2018 and includes reverse engineering, steganography, network traffic, and more traditional forensics challenges. This write-up covers the network forensics portion. I have previously written-up the memory forensics section, and the Birdman’s Data network challenge. The whole CTF is available to play as of the publication of this post.

I managed to complete three of the four challenges in the network traffic section of the CTF. This post is a write-up of the Look At Me challenge.

We start by downloading the challenge PCAP and calculating hashes for reference.

MD5: d7dbb2394596594b438ab3110ace3408
SHA1: fc16f0636a7f141b8b17e0e7a38b776dd5c21c82

Opening up the PCAP in Wireshark, the first thing is that we are not working with TCP/IP traffic; instead this appears to be USB data from a Wacom CTL-471 drawing tablet. After some Google searching I found a write-up of a 2017 BITSCTF challenge featuring USB traffic from a Wacom CTL-460 tablet, which was a huge help in solving this challenge.

With the help of The Blog Post I realised that the packets containing the Leftover Capture Data we need could be filtered within Wireshark based on the Frame Length

((usb.transfer_type == 0x01) && (frame.len == 37))

Then extract to a separate PCAP with tshark for further processing.

tshark -r look_at_me.pcap -w filtered.pcap -Y '((usb.transfer_type == 0x01) && (frame.len == 37))'

The data we need is a representation of the X/Y coordinates of the pen on the drawing tablet, and the Z value representing the pressure of the pen. Using the packet in the screenshot above as an example:


02:f0 - Header
82:0a - X
ba:05 - Y
00:08 - Z (Pressure)
00    - Padding?

This data is contained within the usb.capdata field; we can use tshark again to extract this to a text file and discard the rest of the PCAP.

tshark -r filtered.pcap -T fields -e usb.capdata -Y usb.capdata > usb.capdata.txt

The next thing to do was to use awk (shamelessly lifted from The Blog Post) to convert these raw hex values to little-endian X/Y and Z coordinates.

awk -F: '{x=$3$4;y=$5$6}{z=$7}$1=="02"{print x,y,z}' usb.capdata.txt >

After installing the pwntools Python library and running a small Python script “inspired” by The Blog Post, we have the coordinates in a format suitable to be plotted as an image using Gnuplot.

from pwn import *

for line in open('').readlines():
  coord = line.strip().split(' ')
  x = int(coord[0],16)
  y = int(coord[1],16)
  z = int(coord[2],16)

  if z > 0:
    print u16(struct.pack(">H",x)),u16(struct.pack(">H",y))

We feed our newly converted coordinates into Gnuplot

And out pops an image!

After exporting to a PNG file, we can flip it for easier reading.

convert -flip flag.png flag-flipped.png

There we go! Submit the flag and claim the points, thanks in large part to The Blog Post.


Next up in my OtterCTF series, Otter Leak.

2 thoughts on “OtterCTF 2018 – Network Challenges – Look At Me Write-up

Leave a Reply

Your email address will not be published. Required fields are marked *