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The first exception ("ValueError: Test-vector does not result in correct PMK.")
is the real problem. The other error messages are just the other cores, killing
themselves because another has died.
Every time you boot Pyrit, a small set of PMKs is computed on all the cores and
compared to already-known values. If they do not match, your GPU (in this case)
is computing incorrect results without any error condition signaled by the
driver.
The cause of this may be bugs in the driver, a faulty GPU/RAM or aggressive
overclocking. Check that you have installed the very latest version of the CUDA
SDK and *the drivers that come with it*.
Besides that, there is little Pyrit can do about the situation: All error
conditions that may be raised by the drivers are checked very carefully. Even
then, your GPU is computing results that are simply incorrect.
Original comment by lukas.l...@gmail.com
on 21 Aug 2011 at 9:10
Hi Lukas;
Don't know what to tell you but....
I have installed the latest of everything (actually was all installed before).
I have run every cud a test script I could find (all the ones from the Nvidia
toolkit, http://wiki.tiker.net/PyCuda, some other scripts I found on the web...
and they all run fine. I am not getting an error from any of them. PS 5 runs
with CUDA enabled and doesn't mess up my pictures...
I don't know man, but all the other CUDA enabled stuff I have try run seems to
be fine.
sh-3.2# python test_pyrit.py
Testing with filesystem-storage...
testAnalyze (__main__.FilesystemTestCase) ... (Skipped: Scapy not installed) ok
testAttackBatch (__main__.FilesystemTestCase) ... (Skipped: Scapy not
installed) ok
testAttackCowpatty (__main__.FilesystemTestCase) ... (Skipped: Scapy not
installed) ok
testAttackDB (__main__.FilesystemTestCase) ... (Skipped: Scapy not installed) ok
testAttackPassthrough (__main__.FilesystemTestCase) ... (Skipped: Scapy not
installed) ok
testBatch (__main__.FilesystemTestCase) ... Exception in thread CUDA-Device #1
'GeForce GT 330M':
Traceback (most recent call last):
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/threading.py", line 530, in __bootstrap_inner
self.run()
File "/Library/Python/2.7/site-packages/cpyrit/cpyrit.py", line 113, in run
self._testComputeFunction(101)
File "/Library/Python/2.7/site-packages/cpyrit/cpyrit.py", line 103, in _testComputeFunction
raise ValueError("Test-vector does not result in correct PMK.")
ValueError: Test-vector does not result in correct PMK.
Original comment by charlesh...@gmail.com
on 23 Aug 2011 at 2:20
Re-installed scapy and libdnet - seems to work now.
Pyrit 0.4.1-dev (svn r308) (C) 2008-2011 Lukas Lueg http://pyrit.googlecode.com
This code is distributed under the GNU General Public License v3+
Running benchmark (3110.8 PMKs/s)... |
Computed 3110.81 PMKs/s total.
#1: 'CUDA-Device #1 'GeForce GT 330M'': 2070.4 PMKs/s (RTT 2.9)
#2: 'CPU-Core (SSE2)': 434.4 PMKs/s (RTT 3.1)
#3: 'CPU-Core (SSE2)': 434.1 PMKs/s (RTT 3.0)
#4: 'CPU-Core (SSE2)': 435.6 PMKs/s (RTT 3.1)
Original comment by charlesh...@gmail.com
on 23 Aug 2011 at 4:18
Scapy and libdnet should have zero impact on the CUDA-part. You should be very
careful, as your RAM or your GPU might still be faulty. There have been several
bug reports here that turned out to be related to hardware problems.
You should run 'selftest' from time to time to make sure that the problem
really went away.
Original comment by lukas.l...@gmail.com
on 23 Aug 2011 at 6:24
Original issue reported on code.google.com by
charlesh...@gmail.com
on 21 Aug 2011 at 1:36