FRIDA-DEXDump | Fast search and dump dex on memory
kandi X-RAY | FRIDA-DEXDump Summary
kandi X-RAY | FRIDA-DEXDump Summary
FRIDA-DEXDump is a Python library. FRIDA-DEXDump has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has medium support. You can install using 'pip install FRIDA-DEXDump' or download it from GitHub, PyPI.
Fast search and dump dex on memory.
Fast search and dump dex on memory.
Support
Quality
Security
License
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Support
FRIDA-DEXDump has a medium active ecosystem.
It has 1844 star(s) with 491 fork(s). There are 55 watchers for this library.
It had no major release in the last 12 months.
There are 9 open issues and 24 have been closed. On average issues are closed in 38 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of FRIDA-DEXDump is v1.0.3
Quality
FRIDA-DEXDump has 0 bugs and 0 code smells.
Security
FRIDA-DEXDump has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
FRIDA-DEXDump code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
FRIDA-DEXDump 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.
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FRIDA-DEXDump releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
FRIDA-DEXDump saves you 118 person hours of effort in developing the same functionality from scratch.
It has 324 lines of code, 18 functions and 4 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed FRIDA-DEXDump and discovered the below as its top functions. This is intended to give you an instant insight into FRIDA-DEXDump implemented functionality, and help decide if they suit your requirements.
- Dump dex files .
- Show the banner .
- Fixes dex header .
- Start the daemon process .
- Fix the version of the command line .
- Called when a message is received .
- Initialize the device .
- Main entry point .
- Searches the Dex in the Dex .
Get all kandi verified functions for this library.
FRIDA-DEXDump Key Features
No Key Features are available at this moment for FRIDA-DEXDump.
FRIDA-DEXDump Examples and Code Snippets
Copy
➜ ./frida-manager
frida-manager 0.1.0
Terry Chia
USAGE:
frida-manager [SUBCOMMAND]
FLAGS:
-h, --help Prints help information
-V, --version Prints version information
SUBCOMMANDS:
clean Clean cached artifacts.
fet
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➜ ./frida-manager fetch
[+] Frida Version: 12.8.20
[+] 12 frida-server binaries found.
[+] frida-server-12.8.20-android-arm.xz is cached.
[+] frida-server-12.8.20-android-arm64.xz is cached.
[+] frida-server-12.8.20-android-x86.xz is cached.
[+] Down
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➜ ./frida-manager status
[+] Latest Frida Release: 12.8.20
[+] Currently installed Frida: 12.8.0
Currently installed version of Frida is not the latest version. Please update!
Community Discussions
No Community Discussions are available at this moment for FRIDA-DEXDump.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install FRIDA-DEXDump
You can install using 'pip install FRIDA-DEXDump' or download it from GitHub, PyPI.
You can use FRIDA-DEXDump 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 FRIDA-DEXDump 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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