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- Fix compile paddle swig bug on MAC OS. Add gettid syscall for MAC OS. Fix unit test bug when only one gpu. MAC OS X do not have python2. I will add some condition branch to avoid potential hazard. Reyoung mentioned this pull request Sep 29, 2016.
- . refine sparse momentum api and unittest (PaddlePaddle#126). refine sparse momentum api and unittest. fix unittests bug. Remove main function in some unittest. Update Mac OS X port. follow comments to fix bugs. Revise some word in build doc. Add automatic check AVX in CMake (PaddlePaddle#145). Add automatic check AVX in CMake. Revise table format and some words in.
One-time purchase for installation on 1 PC or Mac. Classic 2019 versions of Word, Excel, and PowerPoint. Microsoft support included for 60 days at no extra cost. Licensed for home and commercial use. All languages included. System Requirements: Windows 10 or Mac OS X. Code review; Project management; Integrations; Actions; Packages; Security.
Yesterday, my friend Victor wanted to crack a wifi network (his, of course) using his MacBook Pro.
I told him to use the excellent VirtualBox images of Kali Linux from Offensive Security and aircrack-ng.
I had just forgotten that:
- Using advanced wireless features is impossible from a virtual machine
- Even if he used Kali Linux with a dual boot, installing the wireless drivers to make it work with the airport card is tiresome.
- Most (not
airmon-ng
) aircrack-ng tools can be installed on macOS with MacPorts, butairodump-ng
andaireplay-ng
crash.
So PLEASE, if you want to do other advanced networking things than network sniffing or what is described in this article, do yourself a favour and buy an USB adapter to use with the virtual machine.
There is a list on the website of
aircrack-ng
, and I think the Alfa AWUS051NH v2 is great.Some people say it is expensive, but last time I checked on Google Shopping, it cost less than half an Apple mouse.There are 3 steps:
- Identify the target acces point: name (= BSSID), MAC address (= SSID) and channel (~ radio frequency)
- Sniff the channel in monitor mode to retrieve:
- a beacon (easy)
- a handshake (= four-way handshake), or some frames of it (hard)
- Crack the password using the dump
What makes the retrieval of the handshake hard is that it appears only when somebody connects to the access point.
The good news is that you can deauthentificate people from the wifi network - it’s called wifi jamming and it’s useful to impress a girl and piss off people at Starbucks.When they reconnect, they re-send the handshake. That adds a Deauth step.
“Install”
Scan
It saves the
.cap
capture file and displays the path.If you don’t have the beacon or the handshake, it will fail accordingly.
For wordlists, see below.
As I said,
aireplay-ng
doesn’t work on a MacBook Pro.The catch is that aireplay-ng
can do a lot of other things besides deauth attacks.You might read that airport cards do not support packet injection, but packet injections are for WEP attacks and nobody uses WEP anymore. We only want to send some deauthentification frames.
Use JamWiFi. A ready-to-use application is provided there.
In fact, you can indentify the target with it too, and it has a really nice GUI.
Once you have selected the access point, you can deauth one or multiple users. Stop after about 50 “Deauths”, or else the persons might have trouble to reconnect during several minutes.
It might not work it you are too far from the target as your airport card is far less powerful than the router.
Using
airport
presents some issues. You cannot know if you got the beacon and the handshake until you stop the capture and try with aircrack-ng
.You capture a lot of unuseful packets too.
Using
tcpdump
is more efficient.When you launch those lines, the first
tcpdump
easily captures a beacon and the second waits for the handshake.Use JamWiFi to deauth some users, and when
tcpdump
shows you it got 4 frames or more, Ctrl-C. It appears you can use less that 4 frames, but it depends on the frames you got (for instance 1,2 or 2,3 are sufficient). Anyway you should normally get at least 4. If nothing shows, try to deauth another user.Now you have everything in
capture.cap
. You can also run aircrack-ng
on it.Like
aireplay-ng
, aircrack-ng
offers so many features that it cannot be the best in everything.We can really speed up the process by using hashcat. Flying blind mac os.
Install with brew
Convert with cap2hccapx
hashcat
doesn’t take cap files, only hccapx files.Just install hashcat-utils and use cap2hccapx
Alternatively, use this online tool.
Crack
This page provides some examples.
To use with a dictionnary:
You have a lot of other options, like brute force:
Refer to the documentation fot more patterns.
Speed
hashcat
works on the GPU.On my MacBook Pro, it yields a performance of 5kH/s: it tests 5000 passwords in a second.
On a Tesla K20m, the speed is 75kH/s. I managed to crack the 5 last lowercase letters of a wifi password in about 1 minute (26**5 // 75000 = 158 seconds to test them all).
We can see here that a GTX 1080 breaks 400kH/s.
I recommend:
For more efficiency, target the networks with silly names (good examples are “mozart”, “I love cats”, “Harry and Sally”), and avoid the ones called “National Security Agency”, “sysadmin” and “sup3r h4x0r”.
To find a password, you have to be lucky and have a good idea of its shape.
A lot of default wifi passwords are composed of 8 or 10 hexadecimal digits.
In average (worst case divided by 2) and according to the above benchmark, with a GTX 1080:
- 8 hexadecimal characters take 90 minutes.
- 10 hexadecimal characters take 16 days.
- 12 hexadecimal characters take 11 years.
If you only want free wifi, just do MAC spoofing on a hotspot that uses web login.
Latest version Released:
Upgrade python project from paddle-1.x to paddle-2.0
Project description
Upgrade your python model from paddle-1.x to paddle-2.
Attention
paddle1to2
aims to convert python files from paddle-1.x to paddle-2 one by one, it won't handle indirect imports. e.g.fluid.layers.Layer
in 'b.py' won't get converted.So you have to make sure you have import all used paddle modules, classes, objects directly for every python file before running paddle1to2
.Install
paddle1to2 support Linux, Mac OS, Windows(Git Bash is recommended), but it requires Python 3.5.4 or higher to run. Multi-Process is supported for Linux and Mac OS, Single-Process is support for Windows, this will lead to performance difference.
- install with pip
ATTENTION: If your device contains multiple versions of python, you may need to run the following commands instead:
- install from source
Develop
If you are a develop, and you want to test your code quickly, you can run the following command in project directory:
Moreover, if you want to run a specific refactor, you can use the following command:
use
python -m paddle1to2 -h
to see full list of all refactors.if you want to run all unittest, use command:
or use command:
to run specific test file.
Change Spec
change_spec
is a python dict defined in spec.py, it defines the rules to refactor your code.Paddle Whacker Mac Os Download
alias
: a list of alias of main aliaspath.to.old_api
, all alias will be replaced with main alias.update_to
:path.to.old_api
will be replaced with this new api if specified.warning
: print specified warning message whenpath.to.old_api
is found. This field will be ignored ifupdate_to
is specified.args_list
: is argument list ofpath.to.old_api
.args_change
: a list of list. It contains following format:['arg', 'new_arg']
: rename a argument, e.g.func(arg=value)
->func(new_arg=value)
['arg', ']
: remove a argument, e.g.func(arg=value)
->func()
[', 'new_arg', 'default_value']
: add a new argument, e.g.func(arg=value)
->func(arg=value, new_arg=default_value)
args_warning
: print specified warning message for specified argument after applyargs_change
.args_transformer
: execute customized transformer on an AST node, it will be called after applyingargs_change
to do further refactor.
Other Tools
- find pattern of specific code snippet, usage:
find_pattern
command will traverse all nodes in AST, if you see code snippet you want, type in 'y' to get pattern.- find match node in specific code for specific pattern, usage:
you can also specify '--print-results' option to got representation of matched node, specify '--print-lineno' to got line number of matched code.
Acknowledgements
- Bowler: Safe code refactoring for modern Python projects.
- lib2to3: A built-in python library to refactor python code.
- fissix: A backport of latest lib2to3, with enhancements.
Release historyRelease notifications | RSS feed
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Paddle Whacker Mac Os Catalina
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