DMNP | Resources of the "Dissecting mobile native code packers A case study" Zimperium's blogpost | Reverse Engineering library

by fvrmatteo Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | DMNP Summary

DMNP is a Python library typically used in Utilities, Reverse Engineering applications. DMNP has no vulnerabilities and it has low support. However DMNP has 1 bugs and it build file is not available. You can download it from GitHub.

vm_emulator.py is a quick (and unstable) implementation of an emulator used to simulate an Android protection's virtual machine. ITR.py is the script used to extract information about the Initialization and Termination routines from an ELF, using LIEF.

Support

Quality

Security

License

Reuse

Support

DMNP has a low active ecosystem.

It has 82 star(s) with 27 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 229 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DMNP is current.

Quality

DMNP has 1 bugs (1 blocker, 0 critical, 0 major, 0 minor) and 153 code smells.

Security

DMNP has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

DMNP code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DMNP 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.

Reuse

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

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

DMNP saves you 365 person hours of effort in developing the same functionality from scratch.

It has 871 lines of code, 25 functions and 2 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed DMNP and discovered the below as its top functions. This is intended to give you an instant insight into DMNP implemented functionality, and help decide if they suit your requirements.

Performs a single step .
execute a virtual machine
Determine if a virtual machine is used .
Determine new VM EIP .
Performs a virtual machine on the machine .
Initialize the node .
Returns the ARM instruction
Returns the start address of the node .
Returns a pydot node
returns a list of children

Get all kandi verified functions for this library.

DMNP Key Features

No Key Features are available at this moment for DMNP.

DMNP Examples and Code Snippets

No Code Snippets are available at this moment for DMNP.

Community Discussions

Trending Discussions on DMNP

Adding a weighted least squares trendline in ggplot2

QUESTION

Adding a weighted least squares trendline in ggplot2

Asked 2019-Dec-15 at 03:20

I am preparing a plot using ggplot2, and I want to add a trendline that is based on a weighted least squares estimation.

In base graphics this can be done by sending a WLS model to abline:

...

ANSWER

Answered 2019-Dec-15 at 03:20

I'm late, but for posterity and clarity, here is the full solution:

Source https://stackoverflow.com/questions/42507098

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

Vulnerabilities

No vulnerabilities reported

Install DMNP

You can download it from GitHub.
You can use DMNP 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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