Bridge detector. Fake?

Some code for detection found. Is it real?

added component::circumvention/censorship analysis owner::cypherpunks priority::medium resolution::invalid severity::normal status::closed type::defect labels

You set the owner as asn, he's not the right person for something like this. Maybe yawning can take a look?

Here's the code in case Pastebin or someone else deletes it with a DMCA,

import os
import socks
import socket
import sys
import time

obfs4_detected = 0

host =  sys.argv[1]
port = int(sys.argv[2])
print "Wait for 100 sec. Verify target: " +host, port
s = socks.socksocket()
s.set_proxy(socks.SOCKS5, "127.0.0.1", 9150)
s.connect((host, port))
rand_string = os.urandom(4096)
s.send(rand_string)
s.settimeout(5)
try:
 data = s.recv(4096)
 if data == "":
  obfs4_detected = 1

except socket.timeout:
 obfs4_detected = 0

s.close()

if obfs4_detected == 1:
 obfs4_detected = 0
 s = socks.socksocket()
 s.set_proxy(socks.SOCKS5, "127.0.0.1", 9150)
 s.connect((host, port))

 rand_string = os.urandom(4096)
 s.send(rand_string)
 start = time.time()
 s.settimeout(5)
 try:
  data = s.recv(4096)
  if data == "":
   end = time.time()
   delta = end - start
   if delta >= 1: 
    obfs4_detected = 1

 except socket.timeout:
  obfs4_detected = 0

 s.close()

if obfs4_detected:
 print "DETECTED!!!!!111"
else:
 print "NOT OBFS4?"

edit: by patch from comment:5

You set the owner Automatically assigned by selecting Obfuscation/Obfsproxy Component

Trac:
Status: new to assigned
Owner: asn to cypherpunks

If someone plans to test it, patch code bug by:

 if obfs4_detected == 1:
+ obfs4_detected = 0
  s = socks.socksocket()

Replying to cypherpunks:

You set the owner Automatically assigned by selecting Obfuscation/Obfsproxy Component That's still applies for "you".

How it works

Real-time identification of three Tor pluggable transports using machine learning techniques

We report an empirical study on detection of three widely used Tor pluggable transports, namely Obfs3, Obfs4, and ScrambleSuit using four learning algorithms. We investigate the performance of Adaboost and Random Forests as two ensemble methods. In addition, we study the effectiveness of SVM and C4.5 as well-known parametric and nonparametric classifiers. These algorithms use general statistics of first few packets of the inspected flows. Experimental results conducted on real traffics show that all the adopted algorithms can perfectly detect the desired traffics by only inspecting first 10–50 packets. The trained classifiers can readily be employed in modern network switches and intelligent traffic monitoring systems. Computer Engineering Department Bu-Ali Sina University Hamedan Iran

Trac:
Status: assigned to needs_information

Trac:
Component: Obfuscation/Obfsproxy to Obfuscation/Censorship analysis

Doesn't work for me.

Trac:
Summary: Bridge detector. Fake? to Bridge detector. Fake.

Trac:
Status: needs_information to closed
Resolution: N/A to invalid

Trac:
Summary: Bridge detector. Fake. to DELETE THIS CRAZY STUFF ASAP

Are you having a bad day, cypherpunks?

Trac:
Resolution: invalid to N/A
Summary: DELETE THIS CRAZY STUFF ASAP to Bridge detector. Fake.
Status: closed to reopened

cypherpunks broken mailing list archive powered by mailman version 2.1.23 Archive lost description post after they replace existing attachment

moar

Trac:
moar.txt

twice

Are you having a bad day, cypherpunks? Why? cypherpunks said Doesn't work for me. What good resolution to close this ticket?