{"id":18925178,"url":"https://github.com/b2r2-org/funseeker","last_synced_at":"2025-04-15T12:33:15.371Z","repository":{"id":48173907,"uuid":"471206056","full_name":"B2R2-org/FunSeeker","owner":"B2R2-org","description":"FunSeeker: Binary Function Identification Tool","archived":false,"fork":false,"pushed_at":"2023-12-23T09:21:54.000Z","size":43,"stargazers_count":23,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"main","last_synced_at":"2024-05-04T14:31:19.381Z","etag":null,"topics":["binary-analysis","function","intel","x86","x86-64"],"latest_commit_sha":null,"homepage":"","language":"F#","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/B2R2-org.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2022-03-18T02:07:46.000Z","updated_at":"2023-12-21T09:51:26.000Z","dependencies_parsed_at":"2023-01-30T23:30:50.127Z","dependency_job_id":null,"html_url":"https://github.com/B2R2-org/FunSeeker","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/B2R2-org%2FFunSeeker","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/B2R2-org%2FFunSeeker/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/B2R2-org%2FFunSeeker/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/B2R2-org%2FFunSeeker/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/B2R2-org","download_url":"https://codeload.github.com/B2R2-org/FunSeeker/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":223672992,"owners_count":17183618,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["binary-analysis","function","intel","x86","x86-64"],"created_at":"2024-11-08T11:09:51.252Z","updated_at":"2024-11-08T11:09:51.837Z","avatar_url":"https://github.com/B2R2-org.png","language":"F#","funding_links":[],"categories":[],"sub_categories":[],"readme":"# FunSeeker\nFunSeeker is function identification tool for Intel CET-enabled binaries.\nFunSeeker leverages patterns of CET-relevant instructions to find function\nentries. The details of the algorithm is in our [paper](https://softsec.kaist.ac.kr/~sangkilc/papers/kim-dsn2022.pdf),\n\"How'd Security Benefit Reverse Engineers? The Implication of Intel CET on\nFunction Identification,\" which will appear in DSN 2022.\n\n### Build \u0026 Run\n\nFunSeeker is written in F#, so you need to install [.NET SDK\n6.0](https://dotnet.microsoft.com/en-us/download). Also, FunSeeker includes\nfollowing NuGet packages: [FSharp.Core\n](https://www.nuget.org/packages/FSharp.Core/6.0.1) and\n[B2R2.FrontEnd.BinInterface\n](https://www.nuget.org/packages/B2R2.FrontEnd.BinInterface/0.6.0-alpha)\n\nNext, you should download and build FunSeeker as follows.\n```\n$ git clone https://github.com/B2R2-org/FunSeeker.git\n$ cd FunSeeker/\n$ dotnet build -c Release\n```\n\nNow, you are ready to run FunSeeker. You can run it with following command\n```\n$ src/FunSeeker/bin/Release/net6.0/FunSeeker [binary_path]\n```\n\n### Docker\nYou can use Docker image to try out FunSeeker quickly.\n```\ndocker build --tag funseeker .\ndocker run --rm funseeker /FunSeeker/src/FunSeeker/bin/Release/net6.0/FunSeeker [binary_path]\n```\n\n### Dataset\nYou can download our [dataset](https://drive.google.com/file/d/1tHv-Mws-rxy_3ErjSR6VS-0-xAKd0R0C/view?usp=sharing) which contains non-stripped binaries, stripped binaries and function list files.\n\n### Authors\nThis research project has been conducted by [SoftSec Lab](https://softsec.kais.ac.kr) and [CSRC](https://csrc.kaist.ac.kr) at KAIST.\n- Hyungseok Kim\n- Junoh Lee\n- [Soomin Kim](https://softsec.kaist.ac.kr/~soomink/)\n- Seungil Jung\n- [Sang Kil Cha](https://softsec.kaist.ac.kr/~sangkilc/)\n\n### Citation\nIf you plan to use FunSeeker in your own research, please consider citing our [paper](https://softsec.kaist.ac.kr/~sangkilc/papers/kim-dsn2022.pdf):\n```\n@INPROCEEDINGS{kim:dsn:2022,\n  author = {Hyungseok Kim and Junoh Lee and Soomin Kim and Seungil Jung and Sang Kil Cha},\n  title = {How'd Security Benefit Reverse Engineers? The Implication of Intel CET on Function Identification},\n  booktitle = dsn,\n  year = 2022\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fb2r2-org%2Ffunseeker","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fb2r2-org%2Ffunseeker","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fb2r2-org%2Ffunseeker/lists"}