autopsy | FontLab Studio Python script for analyzing design

by davelab6 Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | autopsy Summary

autopsy is a Python library. autopsy has no bugs, it has a Strong Copyleft License and it has low support. However autopsy has 1 vulnerabilities and it build file is not available. You can download it from GitHub.

Autopsy is a FontLab Studio Python script for analyzing design consistency across multiple fonts.

Support

Quality

Security

License

Reuse

Support

autopsy has a low active ecosystem.

It has 25 star(s) with 6 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

autopsy has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of autopsy is current.

Quality

autopsy has 0 bugs and 0 code smells.

Security

autopsy has 1 vulnerability issues reported (1 critical, 0 high, 0 medium, 0 low).

autopsy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

autopsy is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

autopsy releases are not available. You will need to build from source code and install.

autopsy has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

autopsy saves you 782 person hours of effort in developing the same functionality from scratch.

It has 1800 lines of code, 130 functions and 1 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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autopsy Key Features

No Key Features are available at this moment for autopsy.

autopsy Examples and Code Snippets

No Code Snippets are available at this moment for autopsy.

Community Discussions

Trending Discussions on autopsy

Show both Tab bar and Toolbar in Xamarin forms

How can I get an .ab backup file, or device image from an Android Virtual Machine?

Find files in unallocated space between partitions of an example image

QUESTION

Show both Tab bar and Toolbar in Xamarin forms

Asked 2020-Feb-10 at 06:49

I'm a beginner in mobile app development and I'm developing an android app using Xamarin forms for a project.

it has 3 tabbed pages.

each page needs some actions to be done when a user clicks on something.

since there are few actions in one tab to be clicked and actions are different for each tab, I want to show both toolbar and tab bar at the same time just like "Whatsapp" shows in there interface.

I have 3 pages named Farm, Treatments, and Autopsy.

all 3 pages are showing as tabbed pages in the tabbedPageContainer XAML.

this is the tabbedPageContainer XAML Code

...

ANSWER

Answered 2020-Feb-10 at 06:49

App.Xaml:

Source https://stackoverflow.com/questions/60144628

QUESTION

How can I get an .ab backup file, or device image from an Android Virtual Machine?

Asked 2019-May-08 at 05:09

I have to demonstrate Android forensics for a Digital Forensics class. I need a disk image of the "suspect's mobile phone". I've gone into Android Studio, and in a new AVD, I've just put some contacts and text messages. How can I get an image (.dd or .img), or an Android backup (.ab) of this virtual device?

For the demonstration, I will be using the open source forensics toolkit, Autopsy: Autopsy for Android forensics

My virtual device is running Android 5.1, with Nexus 4 skin.

...

ANSWER

Answered 2019-May-08 at 05:09

As per https://android.stackexchange.com/a/78183/239063 you can run a one line command in Linux to add in an appropriate tar header to extract it.

Source https://stackoverflow.com/questions/56033763

QUESTION

Find files in unallocated space between partitions of an example image

Asked 2017-Jan-04 at 22:07

I got an exercise in university to find a hidden file in an example image. My professor said it is located in the second unallocated space between the partitions in this example image. We should use tools like The Sleuth Kit (TSK) to find a jpg file.

With mmls, I checked the structure of the image and I'm able to extract the partitions, but not to find the hidden file.

I tried to extract the unallocated space like a normal partition with $ dd if=workindcopy-usb.dd of=test.dd bs=512 skip=104448 count=145407

and inspect the resulting "image" with fsstats, fls and Autopsy. In my logic there is no chance to get a file from unallocated space without a file system the (deleted) file was registered.

Do you know a way to find the file?

...

ANSWER

Answered 2017-Jan-04 at 16:21

If the image is not stored in a file system (i.e. it was randomly placed in unallocated space), you'll need to use a carving tool (PhotoRec, scalpel, etc.) on the test.dd image you created.

Autopsy will carve unallocated space (using the PhotoRec module), so you can get it that way too.

Source https://stackoverflow.com/questions/41464773

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

CVE-2018-1000838 CRITICAL

autopsy version <= 4.9.0 contains a XML External Entity (XXE) vulnerability in CaseMetadata XML Parser that can result in Disclosure of confidential data, denial of service, SSRF, port scanning. This attack appear to be exploitable via Specially crafted CaseMetadata.

https://github.com/sleuthkit/autopsy/issues/4236

https://0dd.zone/2018/10/28/autopsy-XXE/

Install autopsy

You can download it from GitHub.
You can use autopsy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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