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‎README.md‎

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|[ReverserAI](https://github.com/mrphrazer/reverser_ai)|[Tim Blazytko](https://github.com/mrphrazer)|Provides automated reverse engineering assistance through the use of local large language models (LLMs) on consumer hardware.|2024-06-21|helper|python3|GPL-2.0|
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|[revsync](https://github.com/lunixbochs/revsync)|[lunixbochs](https://github.com/lunixbochs)|Realtime IDA Pro and Binary Ninja sync plugin|2020-05-14|ui|python2|MIT|
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|[ripr](https://github.com/pbiernat/ripr)|[Patrick Biernat](https://github.com/pbiernat)|Package binary code as a Python class backed by Unicorn-Engine|2022-07-08|helper|python3|MIT|
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|[RopView](https://github.com/elbee-cyber/RopView)|[elbee](https://github.com/elbee-cyber)|RopView is a gadget analysis framework for BinaryNinja capable of granular per-instruction based analysis and complex logical queries.|2025-02-22|binaryview, helper, ui|python3|MIT|
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|[RopView](https://github.com/elbee-cyber/RopView)|[elbee](https://github.com/elbee-cyber)|RopView is a gadget analysis framework for BinaryNinja capable of granular per-instruction based analysis and complex logical queries.|2025-04-07|binaryview, helper, ui|python3|MIT|
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|[Rust Demangle](https://github.com/inspier/BinjaRustDemangler)|[inspier](https://github.com/inspier)|Demangles Rust symbols.|2023-07-09|helper|python3|MIT|
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|[Rust String Slicer](https://github.com/cxiao/rust_string_slicer)|[Cindy Xiao](https://github.com/cxiao)|Rust binary string recovery plugin|2023-12-25|helper|python3|MIT|
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|[Rust Type Layout Helper](https://github.com/cxiao/rust_type_layout_helper_bn)|[Cindy Xiao](https://github.com/cxiao)|An extremely experimental Binary Ninja importer for the type layout information emitted by the -Zprint-type-sizes flag of the Rust compiler.|2023-04-27|helper|python3|MIT|

‎plugins.json‎

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"description": "RopView is a gadget analysis framework for BinaryNinja capable of granular per-instruction based analysis and complex logical queries.",
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"longdescription": "# RopView - Gadget Analysis Framework\n![logo.png](images/logo.png)\n[![MIT License](https://img.shields.io/badge/license-MIT-blue.svg?style=flat)](http://choosealicense.com/licenses/mit/) [![Twitter](https://img.shields.io/twitter/follow/elbee_ez)](https://x.com/elbee_ez) [![Technical Post](https://img.shields.io/badge/Blog%20post-details-blue)](https://faultpoint.com/post/2024-06-02-binja-plugin-ropview/)\n\nRopView is a gadget analysis framework for BinaryNinja capable of granular per-instruction based analysis backed by [Unicorn Engine](https://www.unicorn-engine.org/) and complex logical queries backed by [pandas](https://pandas.pydata.org/).\n\n**V2 to be released 2/22/25**\n\n# Features\n## Gadget Search\nGadget searching and pooling is fully integrated into the BinaryView and takes advantage of the currently loaded session for quick discovery and caching, making it faster than many similar ROP tools. Additionally, the usual options are available to configure the search settings and constrain the gadget pool appropriately. For a detailed technical explanation, refer to [this post](https://faultpoint.com/post/2024-06-02-binja-plugin-ropview/).\n\n![1.gif](images/1.gif)\n\n## Gadget Analysis\nIn the right pane, an analysis is shown of the currently selected gadget in the pool. This pane details the effects of the gadget on memory locations, clobbered registers, and accesses made to the stack or other memory regions. The analysis shows a start state, intermediary step states, and an end state. The analysis framework takes advantage of [unicorn engine](https://www.unicorn-engine.org/) and can return a report instantly. Internally, this is done using different hooks to add analysis and diffing functionality in the fetch-execute cycle. Furthermore, access violations are hooked to resolve fetched mappings from the target binary into the analysis context in realtime as they are requested. Gadget states are cached for later use and attributes are added to the search engine as queryable columns, allowing for semantic and effect based searches.\n\n![2.gif](images/2.gif)\n\n## Semantic and Constraint-based Search Engine Using Pandas\nDuring the gadget searching and analysis process, gadgets are cached for later access in addition to being added to Dataframe columns for fast, data-driven search queries. The search filter takes advantage of [pandas](https://pandas.pydata.org/), a data-analysis library that allows for collective and aggregated data analysis. This allows RopView to query advanced logical statements on specific gadget attributes (inst_cnt, bytes, disasm, etc) with metadata (count, contains, etc). The result is a much more capable gadget search engine in comparison to other frameworks. Included in these queryable attributes are end-state register values derived from a gadget's corresponding analysis state, which allows for effect-based semantic searching. Additionally, the entire gadget pool dataframe can be exported to a csv for later data analysis in options. Searchable objects are capable of processing whatever may be an attribute of its relative `Series` object and most options can include regex. Default search behavior searches for mnemonic matches in disasm.\n\nCurrently queryable objects include:\n- addr (int)\n- loc (str)\n- bytes (str)\n- inst_cnt (int)\n- disasm (str)\n- registers (int)\n\n![3.gif](images/3.gif)\n![4.gif](images/4.gif)\n\n## Presets\nPresets allow the user to specify dictionary translations for specific keywords into pandas/semantic search queries. Custom presets are saved to the BinaryView along with the rest of the cache. Each architecture is already defined with a set of architecture-tied presets.\n\n![5.png](images/5.png)\n\n## Prestates\nPrestates allow one to specify register-context before analysis. These take the place of individually definable registers, as well as a coredump import feature. Importing a coredump will add its register context and include available memory mappings from the corefile in analysis context for possible resolving.\n\n![6.png](images/6.png)\n\n# Architecture Support\nROPView currently supports the following architectures:\n- i386\n- amd64\n- armv7\n- aarch64\n- thumb2 (toggle)\n- mipsel32\n- mipsel64\n- mips32\n- mips64\n\n# Dependencies\nRopView relies on the following dependencies for its core functionality\n- [Unicorn CPU Emulator (GadgetAnalysis)](https://www.unicorn-engine.org/)\n- [Capstone Disassembler (GadgetSearch, GadgetAnalysis)](http://www.capstone-engine.org/)\n- [pandas (SearchFilter)](https://pandas.pydata.org/)\n- [Pyside6 QT (BinaryNinja's UI framework)](https://www.qt.io/qt-for-python)\n- [lief (Corefile)](https://lief.re/)\n\n# Demo Gallery\n\n- sleep_a0\n![7.gif](images/7.gif)\n- execve\n![8.gif](images/8.gif)\n- Address range is > 0x1000 and is ASCII constrained (excluding first byte)\n![9.gif](images/9.gif)\n\n# Contributions\nContributions are welcome! Please open an issue if you encounter a bug. PRs are reviewed periodically. Please reach me on my blog is needed: https://faultpoint.com\n\n# Installation\nInstall this plugin by cloning this repo directly into `~/.binaryninja/plugins`\n",
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"longdescription": "# RopView (v2.1)\nAuthor: **elbee**\n\n_RopView is a gadget analysis framework for BinaryNinja capable of granular per-instruction based analysis and complex logical queries._\n\n## Description:\n\n\n\n\n## Installation Instructions\n\n### Linux\n\n\n\n## Minimum Version\n\nThis plugin requires the following minimum version of Binary Ninja:\n\n* 3164\n\n\n\n## Required Dependencies\n\nThe following dependencies are required for this plugin:\n\n * pip - unicorn, keystone_engine, capstone, pandas\n * apt - \n * installers - \n * other - \n\n\n## License\n\nThis plugin is released under a MIT license.\n## Metadata Version\n\n2\n",
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"text": "Copyright (c) 2023 Dylan Knoff\n\nPermission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE."
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