Showing 4 open source projects for "detect"

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  • 1
    Cabin

    Cabin

    Cabin is the best JavaScript and Node.js logging service and logging

    Cabin is the best JavaScript and Node.js logging service and logging npm package. Cabin is a drop-in replacement and the best alternative to Sentry, Timber, Airbrake, Papertrail, Loggly, Bugsnag, etc. Cabin will automatically detect and mask the following list of extremely sensitive types of data in your logs. Reduce your disk storage costs through Cabin's automatic conversion of Streams, Buffers, and ArrayBuffers to simplified, descriptive-only objects that otherwise would be unreadable (and obviously pollute your log files and disk storage). Cabin works with the most popular Node.js HTTP frameworks (e.g. ...
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  • 2
    Foal

    Foal

    Full-featured Node.js framework, with no complexity

    It provides a set of ready-to-use components so you don't have to reinvent the wheel every time. In one single place, you have a complete environment to build web applications. This includes a CLI, testing tools, frontend utilities, scripts, advanced authentication, ORM, deployment environments, GraphQL and Swagger API, AWS utilities, and more. You no longer need to get lost on npm searching for packages and making them work together. All is provided. But while offering all these features,...
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  • 3
    ShadowSocksShare

    ShadowSocksShare

    Python ShadowSocks framework

    This project obtains the shared ss(r) account from the ss(r) shared website crawler, redistributes the account and generates a subscription link by parsing and verifying the account connectivity. Since Google plus will be closed on April 2, 2019, almost all the available accounts crawled before come from Google plus. So if you are building your own website, please keep an eye on the updates of this project and redeploy using the latest source code.
    Downloads: 0 This Week
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  • 4
    Python Taint

    Python Taint

    Static Analysis Tool for Detecting Security Vulnerabilities in Python

    Static analysis of Python web applications based on theoretical foundations (Control flow graphs, fixed point, dataflow analysis) Detect command injection, SSRF, SQL injection, XSS, directory traveral etc. A lot of customization is possible. For functions from builtins or libraries, e.g. url_for or os.path.join, use the -m option to specify whether or not they return tainted values given tainted inputs, by default this file is used.
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