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We use analytics cookies to understand how you use our websites so we can make them better, e. Skip to content. Dismiss Be notified of new releases Create your free GitHub account today to subscribe to this repository for new releases and build software alongside 50 million developers.
Sign up. Releases Tags. Latest release. Choose a tag to compare. Search for a tag. September 28, Installation Instructions Copy the file Thunderbolt3Unblocker.
Thunderbolt3Unblocker' If you already have System Integrity Protection disabled, this command should work. Uninstallation Instructions Open Terminal and enter this command: sudo sh -c 'kextunload -b es.
Assets 3. I made a coarse cut to allow the camera lens to stick through the case, then sealed up the gaps with hot glue.
In retrospect, the mirror image arrangement would have avoided some problems. A short script invoked fswebcam to capture a frame from the webcam at regular intervals, and purged the oldest frames when the SD card filled up.
Everything seemed to have fallen into place until, after a few minutes of testing at 5 fps, the camera reset. And then it reset again after another few minutes.
Unable to scrounge up another webcam, the project seemed unworkable. In Wi-Fi mode, the camera creates a wireless network which you join from your smartphone, and then you are able to control the camera via an app.
Taking photos, changing settings, and so on are done by making a GET request with a corresponding command number:. Amazingly, the web server appears to be HFS , an open source web server for Windows.
Then it dawned on me that HFS is running in Wine! Surely this was the most practical solution. My Python module for communicating with the API is published on GitHub , although the code is very much a rough draft.
Porting the time-lapse script over to the new API was painless. The camera AP does not support multiple clients. I made two improvements to help:.
First, I was able to wrest control over the green activity LED , a small feat on the Raspberry Pi 3 Model B, to blink out a status report after each capture.
Second, I configured the device to automatically join the camera network when it is broadcasting, and rejoin the home network when it goes away.
This way I can easily gain debug access simply by powering down the camera. I did not succeed at powering the camera off of the Raspberry Pi without triggering the USB mode selection menu.
But since the communication is now wireless, I was able to simply move the Raspberry Pi indoors and power the camera directly from the battery.
This also pushed the battery life over 24 hours. DeepSound is a steganography utility that can hide data inside of audio files.
The contents can optionally be protected with a password, in which case DeepSound advertises that it encrypts using AES Used incorrectly, the security of all cryptographic algorithms, including or perhaps especially the beloved AES , can be devastatingly eroded.
I took a peek at DeepSound to see if I could find any weaknesses in the way it performs encryption that would allow me recover the payload from a carrier file.
The first thing I noticed was that DeepSound will only prompt for a password when it is fed an audio file that actually does contain an encrypted payload.
This ability to distinguish between encrypted and unencrypted payloads without first providing the password means that there is some metadata that should be easily sifted out of the carrier file.
This was my first lead to investigate. Since DeepSound is written using. NET and not obfuscated, it was possible to decompile the binary and just read the code.
As a newcomer to reverse engineering C apps, I found JetBrains dotPeek to be useful for exploring the decompiled code, and dnSpy to be a helpful debugger.
It was easy to understand from the decompiled code how DeepSound stores the header for its payload inside the audio file using a simple encoding mechanism.
Remarkably, the payload remains intact after being transcoded to another format and back. After it has located this header, it checks a flag to see whether the payload is encrypted and prompts for the password if so.
To validate the entered password, DeepSound computes the SHA-1 hash of some AES key—not the password directly—and compares it to a hash stored in the header.
It turns out that the line this. Key , which copies the entered password into an instance variable, does more than meets the eye:. From here it was easy to write a script to locate the payload in a carrier file and extract the SHA-1 hash from its header.
Then it should be possible to crack the password by running a tool like John the Ripper or hashcat , or sometimes just by searching Google.
In effect, it truncates or null-pads the password to a length of bytes first, an idiosyncracy that precludes the use of off-the-shelf tools. I decided to contribute support for this flavor of SHA-1 hash to John the Ripper, a tool that already knows about the imaginative password hashing schemes used by dozens of software packages.
Optimizing each of these algorithms by hand is too time consuming, so they have made a clever system that allows these schemes to be expressed in terms of some primitive building blocks.
Then copy the password to it. Set the length of the buffer to 32, regardless of how long the password was. Lastly, compute the SHA-1 of the buffer.
Admittedly, finding the right sequence of primitives was not trivial, and there are a number of other switches to flip that I found a bit confusing. But it in the end it took only 8 lines to teach John about the new hashing scheme.
My changes have been contributed back to the John the Ripper community edition, including the deepsound2john. My thanks to Dhiru Kholia for the code review.
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