[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-70952":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":23,"hasPages":23,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":32,"readmeContent":33,"aiSummary":34,"trendingCount":16,"starSnapshotCount":16,"syncStatus":35,"lastSyncTime":36,"discoverSource":37},70952,"mvt","mvt-project\u002Fmvt","mvt-project","MVT (Mobile Verification Toolkit) helps with conducting forensics of mobile devices in order to find signs of a potential compromise.","https:\u002F\u002Fmvt.re",null,"Python",12471,1219,275,40,0,8,16,77,24,44.26,"Other",false,"main",[26,27,28,29,30,31],"android","forensics","forensics-tools","ios","mobile","security","2026-06-12 02:02:45","\u003Cp align=\"center\">\n     \u003Cimg src=\"https:\u002F\u002Fdocs.mvt.re\u002Fen\u002Flatest\u002Fmvt.png\" width=\"200\" \u002F>\n\u003C\u002Fp>\n\n# Mobile Verification Toolkit\n\n> [!IMPORTANT]\n> We recently merged the \"v3\" branch. This introduced breaking changes. If you relied on mvt output in other scripts They might have broken. More details: https:\u002F\u002Fgithub.com\u002Fmvt-project\u002Fmvt\u002Fissues\u002F757\n\n[![](https:\u002F\u002Fimg.shields.io\u002Fpypi\u002Fv\u002Fmvt)](https:\u002F\u002Fpypi.org\u002Fproject\u002Fmvt\u002F)\n[![Documentation Status](https:\u002F\u002Freadthedocs.org\u002Fprojects\u002Fmvt\u002Fbadge\u002F?version=latest)](https:\u002F\u002Fdocs.mvt.re\u002Fen\u002Flatest\u002F?badge=latest)\n[![CI](https:\u002F\u002Fgithub.com\u002Fmvt-project\u002Fmvt\u002Factions\u002Fworkflows\u002Ftests.yml\u002Fbadge.svg)](https:\u002F\u002Fgithub.com\u002Fmvt-project\u002Fmvt\u002Factions\u002Fworkflows\u002Ftests.yml)\n[![Downloads](https:\u002F\u002Fpepy.tech\u002Fbadge\u002Fmvt)](https:\u002F\u002Fpepy.tech\u002Fproject\u002Fmvt)\n\nMobile Verification Toolkit (MVT) is a collection of utilities to simplify and automate the process of gathering forensic traces helpful to identify a potential compromise of Android and iOS devices.\n\nIt has been developed and released by the [Amnesty International Security Lab](https:\u002F\u002Fsecuritylab.amnesty.org) in July 2021 in the context of the [Pegasus Project](https:\u002F\u002Fforbiddenstories.org\u002Fabout-the-pegasus-project\u002F) along with [a technical forensic methodology](https:\u002F\u002Fwww.amnesty.org\u002Fen\u002Flatest\u002Fresearch\u002F2021\u002F07\u002Fforensic-methodology-report-how-to-catch-nso-groups-pegasus\u002F). It continues to be maintained by Amnesty International and other contributors.\n\n> **Note**\n> MVT is a forensic research tool intended for technologists and investigators. It requires understanding digital forensics and using command-line tools. This is not intended for end-user self-assessment. If you are concerned with the security of your device please seek reputable expert assistance.\n>\n\n### Indicators of Compromise\n\nMVT supports using public [indicators of compromise (IOCs)](https:\u002F\u002Fgithub.com\u002Fmvt-project\u002Fmvt-indicators) to scan mobile devices for potential traces of targeting or infection by known spyware campaigns. This includes IOCs published by [Amnesty International](https:\u002F\u002Fgithub.com\u002FAmnestyTech\u002Finvestigations\u002F) and other  research groups.\n\n> **Warning**\n> Public indicators of compromise are insufficient to determine that a device is \"clean\", and not targeted with a particular spyware tool. Reliance on public indicators alone can miss recent forensic traces and give a false sense of security.\n>\n> Reliable and comprehensive digital forensic support and triage requires access to non-public indicators, research and threat intelligence.\n>\n>Such support is available to civil society through [Amnesty International's Security Lab](https:\u002F\u002Fsecuritylab.amnesty.org\u002Fget-help\u002F?c=mvt_docs) or through our forensic partnership with [Access Now’s Digital Security Helpline](https:\u002F\u002Fwww.accessnow.org\u002Fhelp\u002F).\n\nMore information about using indicators of compromise with MVT is available in the [documentation](https:\u002F\u002Fdocs.mvt.re\u002Fen\u002Flatest\u002Fiocs\u002F).\n\n## Installation\n\nMVT can be installed from sources or from [PyPI](https:\u002F\u002Fpypi.org\u002Fproject\u002Fmvt\u002F) (you will need some dependencies, check the [documentation](https:\u002F\u002Fdocs.mvt.re\u002Fen\u002Flatest\u002Finstall\u002F)):\n\n```\npip3 install mvt\n```\n\nYou can also install MVT from PyPI with [uv](https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002F). First, install uv:\n\n```bash\ncurl -LsSf https:\u002F\u002Fastral.sh\u002Fuv\u002Finstall.sh | sh\n```\n\nThen install MVT as a command-line tool:\n\n```bash\nuv tool install mvt\n```\n\nFor alternative installation options and known issues, please refer to the [documentation](https:\u002F\u002Fdocs.mvt.re\u002Fen\u002Flatest\u002Finstall\u002F) as well as [GitHub Issues](https:\u002F\u002Fgithub.com\u002Fmvt-project\u002Fmvt\u002Fissues).\n\n\n## Usage\n\nMVT provides two commands `mvt-ios` and `mvt-android`. [Check out the documentation to learn how to use them!](https:\u002F\u002Fdocs.mvt.re\u002F)\n\n\n## License\n\nThe purpose of MVT is to facilitate the ***consensual forensic analysis*** of devices of those who might be targets of sophisticated mobile spyware attacks, especially members of civil society and marginalized communities. We do not want MVT to enable privacy violations of non-consenting individuals.  In order to achieve this, MVT is released under its own license. [Read more here.](https:\u002F\u002Fdocs.mvt.re\u002Fen\u002Flatest\u002Flicense\u002F)\n","MVT (Mobile Verification Toolkit) 是一个用于移动设备取证分析的工具集，旨在帮助发现Android和iOS设备可能被入侵的迹象。其核心功能包括自动化收集有助于识别潜在安全威胁的取证痕迹，并支持使用公开的入侵指标（IOCs）来扫描设备上的已知间谍软件活动踪迹。MVT采用Python语言编写，具有强大的社区支持与持续更新。该工具适用于技术专家、调查人员以及数字取证领域的专业人士，在需要对智能手机进行深度安全检查时特别有用。需要注意的是，MVT要求用户具备一定的数字取证知识及命令行操作能力，且不推荐普通用户自行评估设备安全性。",2,"2026-06-11 03:35:08","high_star"]