Showing 4 open source projects for "regression"

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  • 1
    nuclei

    nuclei

    Fast and customizable vulnerability scanner based on simple YAML

    Nuclei is used to send requests across targets based on a template, leading to zero false positives and providing fast scanning on a large number of hosts. Nuclei offers scanning for a variety of protocols, including TCP, DNS, HTTP, SSL, File, Whois, Websocket, Headless etc. With powerful and flexible templating, Nuclei can be used to model all kinds of security checks. We have a dedicated repository that houses various type of vulnerability templates contributed by more than 300 security...
    Downloads: 49 This Week
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  • 2
    ClusterFuzz

    ClusterFuzz

    Scalable fuzzing infrastructure

    ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software. Google uses ClusterFuzz to fuzz all Google products and as the fuzzing backend for OSS-Fuzz. ClusterFuzz provides many features which help seamlessly integrate fuzzing into a software project's development process. Can run on any size cluster (e.g. OSS-Fuzz instance runs on 100,000 VMs). Fully automatic bug filing, triage and closing for various issue trackers (e.g. Monorail, Jira)....
    Downloads: 5 This Week
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  • 3
    garysfm

    garysfm

    An advanced file manager with qss themes and iso and folder previews

    garysfm which stands for Gary's File Manager is a file manager with some advanced features. Those features include bulk renaming and folder image previews. I has rather advanced search functions, tab browsing with persistence between launches. It remembers your folder sorting and view options in icon view. It also remembers your active tabs between sessions. It has progress dialog while doing large operations like copying large files, and folders with many files. python version works on...
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    Downloads: 6 This Week
    Last Update:
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  • 4
    Firing Range

    Firing Range

    Firing Range is a test bed for web application security scanners

    ...Each scenario is crafted to reflect how bugs appear in production—behind frameworks, in odd encodings, or across redirects—so scanners must demonstrate accurate crawling and context understanding. Because the behaviors are stable and documented, teams can run comparative tests over time and quantify regression or improvement in their pipelines. It’s equally useful for human training, giving analysts a safe playground to practice exploitation and triage skills.
    Downloads: 0 This Week
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