DoublePulsar-Volatility | Volatility plugin to help identify DoublePulsar implant
kandi X-RAY | DoublePulsar-Volatility Summary
kandi X-RAY | DoublePulsar-Volatility Summary
DoublePulsar-Volatility is a Python library. DoublePulsar-Volatility has no bugs, it has no vulnerabilities and it has low support. However DoublePulsar-Volatility build file is not available. You can download it from GitHub.
Volatility plugin to help identify DoublePulsar implant by listing the array of pointers SrvTransaction2DispatchTable from the srv.sys driver.
Volatility plugin to help identify DoublePulsar implant by listing the array of pointers SrvTransaction2DispatchTable from the srv.sys driver.
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Quality
Security
License
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Support
DoublePulsar-Volatility has a low active ecosystem.
It has 16 star(s) with 6 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. On average issues are closed in 5 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of DoublePulsar-Volatility is current.
Quality
DoublePulsar-Volatility has 0 bugs and 0 code smells.
Security
DoublePulsar-Volatility has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
DoublePulsar-Volatility code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
DoublePulsar-Volatility 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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DoublePulsar-Volatility releases are not available. You will need to build from source code and install.
DoublePulsar-Volatility 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.
DoublePulsar-Volatility saves you 64 person hours of effort in developing the same functionality from scratch.
It has 168 lines of code, 10 functions and 1 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed DoublePulsar-Volatility and discovered the below as its top functions. This is intended to give you an instant insight into DoublePulsar-Volatility implemented functionality, and help decide if they suit your requirements.
- Calculate the dispatcher .
- Downloads a PDB file .
- Get srvtrans symbol
- Write a text table .
- Initialize the command line interface .
- Generate a tuple of addresses .
- Returns the section name
- Get the debug symbols from the addr_space
- Returns the srv module .
- Return a unified output grid
Get all kandi verified functions for this library.
DoublePulsar-Volatility Key Features
No Key Features are available at this moment for DoublePulsar-Volatility.
DoublePulsar-Volatility Examples and Code Snippets
No Code Snippets are available at this moment for DoublePulsar-Volatility.
Community Discussions
No Community Discussions are available at this moment for DoublePulsar-Volatility.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DoublePulsar-Volatility
You can download it from GitHub.
You can use DoublePulsar-Volatility 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 DoublePulsar-Volatility 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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