VolDiff | VolDiff : Malware Memory Footprint Analysis | Cybersecurity library

by aim4r Python Version: v2.1 License: BSD-2-Clause

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

kandi X-RAY | VolDiff Summary

VolDiff is a Python library typically used in Security, Cybersecurity applications. VolDiff has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However VolDiff build file is not available. You can download it from GitHub.

VolDiff is a Python script that leverages the [Volatility] framework to identify malware threats on Windows 7 memory images. VolDiff can be used to run a collection of Volatility plugins against memory images captured before and after malware execution. It creates a report that highlights system changes based on memory (RAM) analysis. VolDiff can also be used against a single Windows memory image to automate Volatility plugin execution, and hunt for malicious patterns.

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VolDiff has a low active ecosystem.

It has 177 star(s) with 49 fork(s). There are 28 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 7 have been closed. On average issues are closed in 66 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of VolDiff is v2.1

Quality

VolDiff has 0 bugs and 0 code smells.

Security

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

VolDiff code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

VolDiff is licensed under the BSD-2-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

VolDiff releases are available to install and integrate.

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

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

VolDiff saves you 652 person hours of effort in developing the same functionality from scratch.

It has 1513 lines of code, 51 functions and 1 files.

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

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VolDiff Key Features

No Key Features are available at this moment for VolDiff.

VolDiff Examples and Code Snippets

No Code Snippets are available at this moment for VolDiff.

Community Discussions

Trending Discussions on VolDiff

Jasper Studio: Aggregating JDBC Domain data

QUESTION

Jasper Studio: Aggregating JDBC Domain data

Asked 2017-Aug-24 at 16:20

My question is related to the question in this post, but i've changed my approach.

I need to create a basic variance report, that shows volumes for two dates and the difference between these volumes.

I have an SQL query that uses a subquery to give me the appropriate aggregation for my data.

My problem is that I have to use a JDBC domain datasource and cannot get the results appropriately aggregated in Studio.

My domain dataset looks like this:

...

ANSWER

Answered 2017-Aug-24 at 16:20

My steps to get the crosstab working with calculated variables:

Configuring the crosstab:

Put my dates as the column (ID as rows and Volume as measure)
Within the crosstab, change the calculation function for my measure to "Sum"

Calculate Volume Difference and add to crosstab:

Create 2 variables within Main Dataset that give volume for each day:

Source https://stackoverflow.com/questions/45842331

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

Vulnerabilities

No vulnerabilities reported

Install VolDiff

Please refer to the VolDiff [home wiki](https://github.com/aim4r/VolDiff/wiki) for details. VolDiff has also been included in the [REMnux](https://remnux.org/) Linux malware analysis toolkit.

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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