Showing 5 open source projects for "markov"

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  • 1
    hashcat

    hashcat

    World's fastest and most advanced password recovery utility

    ... paths remain intact. Multi-Device-Types (Utilizing mixed device types in same system). Supports password candidate brain functionality. Supports distributed cracking networks (using overlay). Supports interactive pause / resume. Supports sessions. Supports restore. Supports reading password candidates from file and stdin. Supports hex-salt and hex-charset. Supports automatic performance tuning. Supports automatic keyspace ordering markov-chains.
    Downloads: 114 This Week
    Last Update:
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  • 2
    Anti-Spam SMTP Proxy Server

    Anti-Spam SMTP Proxy Server

    Anti-Spam SMTP Proxy Server implements multiple spam filters

    The Anti-Spam SMTP Proxy (ASSP) Server project aims to create an open source platform-independent SMTP Proxy server which implements auto-whitelists, self learning Hidden-Markov-Model and/or Bayesian, Greylisting, DNSBL, DNSWL, URIBL, SPF, SRS, Backscatter, Virus scanning, attachment blocking, Senderbase and multiple other filter methods. Click 'Files' to download the professional version 2.8.1 build 24261. A linux(ubuntu 20.04 LTS) and a freeBSD 12.2 based ready to run OVA of ASSP V2...
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    Downloads: 53,685 This Week
    Last Update:
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  • 3

    Visual Figaro

    System safety, dependability and security analysis

    Visual Figaro is an integrated environment to develop component libraries for the dependability modeling tool KB3 used by EDF (http://www.edf.fr/recherche/codes-de-calcul/kb3). KB3 is based on the FIGARO reliability modeling language, suitable for describing CTMC (continuous time Markov chains), DES (discrete event simulation) models, and for automatic generation of fault trees. FIGARO is objet oriented, close to natural language and enables building libraries of reusable components (knowledge...
    Downloads: 0 This Week
    Last Update:
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  • 4
    OMEN

    OMEN

    OMEN: Ordered Markov ENumerator - Password Guesser

    OMEN is a Markov model-based password guesser written in C. It generates password candidates according to their occurrence probabilities, i.e., it outputs most likely passwords first. OMEN significantly improves guessing speed over existing proposals. If you are interested in the details on how OMEN improves on existing Markov model-based password guessing approaches, please refer to OMEN: Faster Password Guessing Using an Ordered Markov Enumerator. OMEN consists of two separate program modules...
    Downloads: 0 This Week
    Last Update:
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  • 5
    A multithreaded opensource password cracker
    Downloads: 0 This Week
    Last Update:
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