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First, I needed to obtain the firmware image. The companion smartphone app is capable of performing an over-the-air update of the tracker, so I tried to learn how the app obtains these updates.

After a few failures modifying the update check request to include an out-of-date version number to see if the server would send me new firmware, I discovered I needed to use one of the earlier version numbers from the release notes.

Binwalk was not able to identify any part of the binary, but after a lot of sleuthing and an extraordinarily clumsy teardown, I was able to identify the Nordic Semiconductor nRFQFAAE0 system-on-chip I had previously misidentifed the SoC.

Still, I wanted to try sending a modified firmware image to the tracker to see if firmware validation would be an obstacle.

So I made a small change to one of the strings. This should be useful for automation, penetration testing, and scraping. If you are translating from something other than curl, you can just capture the raw HTTP request say, with Wireshark and the tool can parse that as well.

But the code should make it pretty easy to contribute support for new features as future use cases call for. This was my first project using a modern JavaScript toolchain, in particular React, LibSass, and webpack.

I published node-shlex , a Node. I began by porting the shlex module from the Python Standard Library, originally contributed by Eric S. But I found the code to be incomprehensible, with a bewildering state machine and a complex matrix of modes of operation.

As an alternative, there is shell-quote , which gets 1. But it seems to be abandoned with several known bugs, and has a half-baked implementation of environment variable interpolation that might lead to unexpected behavior.

For the past several months, technology companies have been racing to meet its demands, which can involve substantial engineering work to retrofit existing platforms.

My former colleagues at Apple have launched a new self-service Data and Privacy tool and a Privacy Enquiries support website that give customers visibility into and control over the information about them that Apple keeps.

Recent software updates also added data usage disclosures to inform users when and how their data is being processed. No, The Verge, it has nothing to do with stopping phishing.

Jefferson Graham wrote ,. This is no accident. From end-to-end encrypted iMessage to feats like on-device photo classification and privacy-preserving telemetry, so many features took a more challenging path because it was the right thing to do.

And all without apparent sacrifice to usability or capability. Thank you, Betsy! There are official forecasts of when the trees will bloom.

There are different words to describe the progression of the flowers. Admirers flock to tree-lined parks for picnics during the day, and then return again at night for lantern-lit strolls.

There are special sweets and even seasonal beer cans. As I was drifting to sleep one night, I thought about how lovely it would be to watch the bloom arrive and recede in timelapse.

If you start it up attached to a computer, it asks whether it should act as a video camera or mass storage device. The SakuraCam began to take shape.

I settled on a shallow toolbox-style one with a handle and toggle latch. 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.

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.

Unbeknown to me, DeepSound was featured in a scene of Mr. Alfonso has a nice write-up of his blackbox reverse engineering of the payload encoding, in which he noticed another bad flaw: the use of ECB mode for encryption.

Even without the password you can see penguins. One vendor explained,. Apple has chosen to prevent Thunderbolt 3 devices using currently available controller chips from Texas Instruments from enumerating and functioning on the MacBook Pros.

Apple requires the 2nd generation TPS chipset for peripherals to be compatible. Of course, patching your kernel to make it do unsupported things is not the most cautious idea, and there is likely a reason why Apple decided to disable this older chipset in the first place.

This technique required that the script be kept in sync with macOS releases. The patch would also need to be reapplied after every system upgrade, and reverting back could be difficult.

The runtime patching technique of Thunderbolt 3 Unblocker addresses all of these shortcomings. A few people also wrote to me to mention Lilu , a larger project with similar goals.

It might say something like, Audio will be decoded and sent to your equipment as uncompressed multichannel LPCM. Apple Music audio is not in surround sound, though one of the music videos I tested with was.

The only challenge now was figuring out the protocol for triggering a photo. OnKeyRequired this , e ; if e. Cancel throw new KeyEnterCanceledException ; this.

ComputeHash this. Key ; if! CompareArrays keyhash , hdrhash throw new Exception "Wrong password. Copy this. GetBytes value , buffer , this.

GetBytes value. Length ; this. ComputeHash buffer ; this. Unsere Kunden sind sehr zufrieden mit GovOS. Nehmen auch Sie die digitale Verwaltung in Angriff.

Setzen Sie die Vorgaben des Onlinezugangsgesetzes gemeinsam mit uns um. Wir freuen uns auf Ihre Kontaktaufnahme!

GovOS selbst erleben Sie möchten mehr erfahren bzw. GovOS einmal ausprobieren? Der eingeblendete Hinweis Banner dient dieser Informationspflicht.

Eine Anleitung zum Blockieren von Cookies finden Sie hier. Zum Inhalt springen. Die digitale Verwaltung hat begonnen. Präsentieren Sie sich kundenfreundlich und setzen Sie das Onlinezugangsgesetz mit unserer Lösung schnell und unkompliziert um.

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GovOS setzt konsequent auf Standards. Wurde ein Verfahren bereits erstellt und ist im App-Store verfügbar, können Sie es einfach nachnutzen.

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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. Unbeknown to me, DeepSound was featured in a scene of Mr. Alfonso has a nice write-up of his blackbox reverse engineering of the payload encoding, in which he noticed another bad flaw: the use of ECB mode for encryption.

Even without the password you can see penguins. One vendor explained,. Apple has chosen to prevent Thunderbolt 3 devices using currently available controller chips from Texas Instruments from enumerating and functioning on the MacBook Pros.

Apple requires the 2nd generation TPS chipset for peripherals to be compatible. Of course, patching your kernel to make it do unsupported things is not the most cautious idea, and there is likely a reason why Apple decided to disable this older chipset in the first place.

This technique required that the script be kept in sync with macOS releases. The patch would also need to be reapplied after every system upgrade, and reverting back could be difficult.

The runtime patching technique of Thunderbolt 3 Unblocker addresses all of these shortcomings. A few people also wrote to me to mention Lilu , a larger project with similar goals.

It might say something like, Audio will be decoded and sent to your equipment as uncompressed multichannel LPCM. Apple Music audio is not in surround sound, though one of the music videos I tested with was.

The only challenge now was figuring out the protocol for triggering a photo. OnKeyRequired this , e ; if e. Cancel throw new KeyEnterCanceledException ; this.

ComputeHash this. Key ; if! CompareArrays keyhash , hdrhash throw new Exception "Wrong password. Copy this. GetBytes value , buffer , this. GetBytes value.

Length ; this. ComputeHash buffer ; this. The Program encourages landowners interested in participating to identify themselves as willing sellers by calling the Trust Beneficiary Call Center Call Center at A landowner interested in registering as a willing seller may do so even after Program implementation has moved to other locations.

Willing seller registration provides the following benefits:. Additionally, the Program will continue to re-evaluate its resources and progress to determine if additional locations can be added to the schedule and may consider willing seller data.

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. Unbeknown to me, DeepSound was featured in a scene of Mr.

Alfonso has a nice write-up of his blackbox reverse engineering of the payload encoding, in which he noticed another bad flaw: the use of ECB mode for encryption.

Even without the password you can see penguins. One vendor explained,. Apple has chosen to prevent Thunderbolt 3 devices using currently available controller chips from Texas Instruments from enumerating and functioning on the MacBook Pros.

Apple requires the 2nd generation TPS chipset for peripherals to be compatible. Of course, patching your kernel to make it do unsupported things is not the most cautious idea, and there is likely a reason why Apple decided to disable this older chipset in the first place.

This technique required that the script be kept in sync with macOS releases. The patch would also need to be reapplied after every system upgrade, and reverting back could be difficult.

The runtime patching technique of Thunderbolt 3 Unblocker addresses all of these shortcomings. A few people also wrote to me to mention Lilu , a larger project with similar goals.

It might say something like, Audio will be decoded and sent to your equipment as uncompressed multichannel LPCM. Apple Music audio is not in surround sound, though one of the music videos I tested with was.

The only challenge now was figuring out the protocol for triggering a photo. OnKeyRequired this , e ; if e.

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