Search Results for "penetration testing linux"

Showing 7 open source projects for "penetration testing linux"

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  • 1
    FOML
    FOML is an expressive logic rule language that supports object modeling, analysis, and inference. It naturally supports model-level activities, such as constraints (extending UML diagrams), dynamic compositional modeling, analysis and reasoning about models, model testing, design pattern modeling, specification of Domain Specific Modeling Languages, and meta-modeling. FOML can reason about: 1. The model meta-data (meta-model level reasoning, or syntax reasoning) 2. Data level: reason...
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  • 2
    Our idea is to deploy a society of computational agents that collaborate in order to achieve the shared goal of decrypting a chunk of ciphertext or recovering a password from an hash by means of a dictionary-based attack.
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  • 3
    The uranium is a system for test automation. It uses a prolog language for high-level modelling of business process in software and system of drivers which allows use any channel for manage the program (web, db connection etc).
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  • 4

    jWAM

    A 100% Java Warren Abstract Machine implementation.

    jWAM is a 100% Java Warren Abstract Machine implementation. Currently it is still under development though all the basic functionalities (compiling, resolution) are working. As far as I know this is the only open source Java based implementation out there that does not simplify Warren's design. I have done some comparison's with other Java based Prolog engine's and jWAM does seem to outperform them all quite well (tuProlog, JLog, JIP, jTrolog). However, if you need a Java based Prolog...
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  • 5
    PLUNITTEST
    PLUNITTEST is a unit test framework for Prolog. It has been tested with Sicstus prolog. It gives a framework for automated unit testing of prolog programs via continuous integration tools. It outputs an XML file like Junit XML.
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  • 6
    SecFlow - Secure Flow Analyzation for Java and .NET
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  • 7
    Mopsos is a word prediction framework, intended to aid research and development regarding inter- and next-word prediction algorithms by providing a standarized environment to facilitate testing and ranking.
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