orochi | The Volatility Collaborative GUI | Cybersecurity library

 by   LDO-CERT JavaScript Version: Current License: MIT

kandi X-RAY | orochi Summary

kandi X-RAY | orochi Summary

orochi is a JavaScript library typically used in Security, Cybersecurity applications. orochi has a Permissive License and it has low support. However orochi has 56 bugs and it has 2 vulnerabilities. You can download it from GitHub.

Orochi is an open source framework for collaborative forensic memory dump analysis. Using Orochi you and your collaborators can easily organize your memory dumps and analyze them all at the same time.
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            kandi-support Support

              orochi has a low active ecosystem.
              It has 156 star(s) with 14 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 19 open issues and 75 have been closed. On average issues are closed in 92 days. There are 39 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of orochi is current.

            kandi-Quality Quality

              orochi has 56 bugs (0 blocker, 0 critical, 6 major, 50 minor) and 44 code smells.

            kandi-Security Security

              orochi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              orochi code analysis shows 2 unresolved vulnerabilities (0 blocker, 2 critical, 0 major, 0 minor).
              There are 48 security hotspots that need review.

            kandi-License License

              orochi is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              orochi releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              orochi saves you 3487 person hours of effort in developing the same functionality from scratch.
              It has 11053 lines of code, 214 functions and 186 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            orochi Key Features

            No Key Features are available at this moment for orochi.

            orochi Examples and Code Snippets

            No Code Snippets are available at this moment for orochi.

            Community Discussions

            QUESTION

            Recommendation System by using Euclidean Distance (TypeError: unsupported operand type(s) for -: 'str' and 'str')
            Asked 2021-Jan-03 at 19:48

            I have a problem about implementing recommendation system by using Euclidean Distance.

            What I want to do is to list some close games with respect to search criteria by game title and genre.

            Here is my project link : Link

            After calling function, it throws an error shown below. How can I fix it?

            Here is the error

            ...

            ANSWER

            Answered 2021-Jan-03 at 16:00

            The issue is that you are using euclidean distance for comparing strings. Consider using Levenshtein distance, or something similar, which is designed for strings. NLTK has a function called edit distance that can do this or you can implement it on your own.

            Source https://stackoverflow.com/questions/65551325

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

            Vulnerabilities

            No vulnerabilities reported

            Install orochi

            Using Docker-compose you can start multiple dockers and link them together. (*) It is also possible to run plugins_sync and symbols_sync directly from the admin page in case new plugins or new symbols are available.
            Start cloning the repo and enter in the folder:
            ElasticSearch container likes big mmap count so from shell do sysctl -w vm.max_map_count=262144 otherwise docker image of Elastic would not start. To set this value permanently, add vm.max_map_count=262144 in /etc/sysctl.conf. In case you are running docker on Windows you can do wsl -d docker-desktop sysctl -w vm.max_map_count=262144 from PowerShell.
            You need to set some useful variables that docker-compose will use for configure the environment Here is a sample of .env\.local\.postgres: POSTGRES_HOST=postgres POSTGRES_PORT=5432 POSTGRES_DB=orochi POSTGRES_USER=debug POSTGRES_PASSWORD=debug Here is a sample of .env\.local\.django: USE_DOCKER=yes IPYTHONDIR=/app/.ipython REDIS_URL=redis://redis:6379/0 ELASTICSEARCH_URL=http://es01:9200 DASK_SCHEDULER_URL=tcp://scheduler:8786 By default ALLOWED_HOSTS config permits access from everywhere. If needed you can change it from .envs\.local\.django
            If needed you can increase or decrease Dask workers to be started. In order to do this you have to update the docker-compose.yml file changing the number of replicas in the deploy section of worker service.
            You can pull images with command:
            Or build images with command:
            Now it's time to fire up the images!
            When finished - it takes a while - you can check the status of images:
            Now some management commands in case you are upgrading: docker-compose run --rm django python manage.py makemigrations docker-compose run --rm django python manage.py migrate docker-compose run --rm django python manage.py collectstatic
            Sync Volatility plugins (*) in order to make them available to users: docker-compose run --rm django python manage.py plugins_sync
            Volatility Symbol Tables are available here and can be sync using this command (*): docker-compose run --rm django python manage.py symbols_sync
            To create a normal user account, just go to Sign Up (http://127.0.0.1:8000) and fill out the form. Once you submit it, you'll see a "Verify Your E-mail Address" page. Go to your console to see a simulated email verification message. Copy the link into your browser. Now the user's email should be verified and ready to go. In development, it is often nice to be able to see emails that are being sent from your application. For that reason local SMTP server Mailhog with a web interface is available as docker container. Container mailhog will start automatically when you will run all docker containers. Please check cookiecutter-django Docker documentation for more details how to start all containers. With MailHog running, to view messages that are sent by your application, open your browser and go to http://127.0.0.1:8025
            Other details in cookiecutter-django Docker documentation
            register your user
            login with your user and password
            upload a memory dump and choose a name, the OS and the color: in order to speed up the upload it accepts also zipped files.
            When the upload is completed, all enabled Volatility plugins will be executed in parallel thanks to Dask. With Dask it is possible to distribute jobs among different servers.
            You can configure which plugin you want run by default through admin page.
            As the results come, they will be shown.
            Is it possible to view the results of a plugin executed on multiple dumps, for example view simultaneously processes list output of 2 different machines.
            Orochi homepage: http://127.0.0.1:8000
            Orochi admin: http://127.0.0.1:8000/admin
            Mailhog: http://127.0.0.1:8025
            Kibana: http://127.0.0.1:5601
            Dask: http://127.0.0.1:8787

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            CLONE
          • HTTPS

            https://github.com/LDO-CERT/orochi.git

          • CLI

            gh repo clone LDO-CERT/orochi

          • sshUrl

            git@github.com:LDO-CERT/orochi.git

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