Showing 2 open source projects for "binary analysis"

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  • Jscrambler: Pioneering Client-Side Protection Platform Icon
    Jscrambler: Pioneering Client-Side Protection Platform

    Jscrambler offers an exclusive blend of cutting-edge first-party JavaScript obfuscation and state-of-the-art third-party tag protection.

    Jscrambler is the leader in Client-Side Protection and Compliance. We were the first to merge advanced polymorphic JavaScript obfuscation with fine-grained third-party tag protection in a unified Client-Side Protection and Compliance Platform. Our integrated solution ensures a robust defense against current and emerging client-side cyber threats, data leaks, and IP theft, empowering software development and digital teams to innovate securely. With Jscrambler, businesses adopt a unified, future-proof client-side security policy all while achieving compliance with emerging security standards including PCI DSS v4.0. Trusted by digital leaders worldwide, Jscrambler gives businesses the freedom to innovate securely.
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  • PageDNA: Web-to-Print eCommerce Software Icon
    PageDNA: Web-to-Print eCommerce Software

    eCommerce for Print, Signs and Fulfillment Trusted by In‑Plants and Commercial Print Leaders

    PageDNA enables successful eCommerce strategies for commercial print sales organizations, internal print shops, and brand owners. PageDNA’s online ordering platform increases print volume while decreasing touch costs for all stakeholders: clientele, print operations, and the organizations they support.
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    Binary Ninja MCP

    Binary Ninja MCP

    A Binary Ninja plugin, MCP server

    The Binary Ninja MCP is a plugin and bridge that integrates Binary Ninja with Large Language Model clients via the Model Context Protocol, enhancing reverse engineering workflows with AI assistance. ​
    Downloads: 7 This Week
    Last Update:
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  • 2
    nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.
    Downloads: 0 This Week
    Last Update:
    See Project
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