EFIPWN | An EFI image parser and dissector
kandi X-RAY | EFIPWN Summary
kandi X-RAY | EFIPWN Summary
EFIPWN is a Python library. EFIPWN has no bugs, it has no vulnerabilities and it has low support. However EFIPWN build file is not available. You can download it from GitHub.
EFIPWN is an EFI image parser which can dissect EFI Firmware Volumes. The three main usecases are printing the structure of an image, dumping the contents into a filesystem structure and generating an FDF file for regeneration of an image using the EDK2 buildsystem. Before using this code, you need to setup the EDK2 buildsystem and change the path of the LZMACompress binary in EFI.py line 389. The code is not very failsafe but in most cases it works fine.
EFIPWN is an EFI image parser which can dissect EFI Firmware Volumes. The three main usecases are printing the structure of an image, dumping the contents into a filesystem structure and generating an FDF file for regeneration of an image using the EDK2 buildsystem. Before using this code, you need to setup the EDK2 buildsystem and change the path of the LZMACompress binary in EFI.py line 389. The code is not very failsafe but in most cases it works fine.
Support
Quality
Security
License
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Support
EFIPWN has a low active ecosystem.
It has 47 star(s) with 11 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of EFIPWN is current.
Quality
EFIPWN has 0 bugs and 0 code smells.
Security
EFIPWN has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
EFIPWN code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
EFIPWN does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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EFIPWN releases are not available. You will need to build from source code and install.
EFIPWN has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed EFIPWN and discovered the below as its top functions. This is intended to give you an instant insight into EFIPWN implemented functionality, and help decide if they suit your requirements.
- Parse the firmware image
- Read bits left
- Return the value corresponding to the given number of bits
- Decompress a buffer
- Load the character length of a character set
- Load a list of huffman symbols
- Build a Huffman tree
- Decode a binary tree
- Parse the firmware file
- Parse the file type
- Instantiate a section from the given type
- Parse sections
- Visit an EFI Generic Section node
- Return string describing the section type
Get all kandi verified functions for this library.
EFIPWN Key Features
No Key Features are available at this moment for EFIPWN.
EFIPWN Examples and Code Snippets
No Code Snippets are available at this moment for EFIPWN.
Community Discussions
No Community Discussions are available at this moment for EFIPWN.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install EFIPWN
You can download it from GitHub.
You can use EFIPWN 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.
You can use EFIPWN 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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