Malheur

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Analyzed 2 months ago. based on code collected 3 months ago.

Project Summary

Malheur is a tool for automatic analysis of program behavior recorded from malicious software (malware). It has been designed to support the regular analysis of malicious software and the development of detection and defense measures. Based on machine learning techniques, Malheur allows for identifying novel classes of malware with similar behavior and assigning unknown malware to discovered classes.

In a Nutshell, Malheur...

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has had 519 commits made by 4 contributors
representing 5,614 lines of code
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is mostly written in C
with a very well-commented source code
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has a well established, mature codebase
maintained by nobody
with stable Y-O-Y commits
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took an estimated 2 years of effort (COCOMO model)
starting with its first commit in May, 2009
ending with its most recent commit about 6 years ago

Quick Reference

Project Links:

Homepage
Download

Code Locations:

https://github.com/rieck/malheur

Similar Projects:

Managers:

rieck

Licenses

GNU General Public License v3.0 only

Permitted

Commercial Use

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Place Warranty

Use Patent Claims

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Distribute Original

Disclose Source

Include Copyright

State Changes

Include License

Include Install Instructions

These details are provided for information only. No information here is legal advice and should not be used as such.

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Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record

Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities

Few reported vulnerabilities

About Project Vulnerability Report

Did You Know...

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in 2016, 47% of companies did not have formal process in place to track OS code
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data presented on the Open Hub is available through our API
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use of OSS increased in 65% of companies in 2016
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