# Awesome Reverse Engineering Anything

> AwesomeREA.org is a bilingual collection of reverse-engineering tools, projects, integrations, case studies, and references for websites, games, apps, native binaries, firmware, and communication protocols.

The collection contains 1196 source-reviewed curated resources and a published selection of 3500 captured repository records, of which 3309 are browsable. The 187 scope-excluded records and 4 whose upstream repository is no longer available remain in the published selection. The bibliography lists 207 research papers.

Source review checks descriptions against primary documentation. Repository descriptions have AI-assisted English and Simplified Chinese translations; description_original retains available upstream text. New oversized descriptions are omitted with length and SHA-256 evidence in description_omission. Upstream content keeps its own license.

Every listing, category and entry page has a Markdown version named `index.md` beside it, linked from the page with `<link rel="alternate" type="text/markdown">`. Entry pages also have a bilingual `record.json`, and category pages an `index.json`. The links below point to the Markdown versions.

## Collections

- [Curated resources](https://awesomerea.org/resources/index.md): All curated entries by section, each linking its own Markdown page with requirements, evidence links and review dates.
- [Case studies](https://awesomerea.org/cases/index.md): 424 documented cases, a subset of the curated resources, with full descriptions and source evidence.
- [Research papers](https://awesomerea.org/papers/index.md): A separate research bibliography, each paper linking its own Markdown page.
- [Repository directory](https://awesomerea.org/browse/index.md): Static categories of automatically discovered public repositories (unreviewed).
- [Editorial survey](https://awesomerea.org/survey/): A bilingual, separately versioned synthesis of the collection’s evidence, methods and limits.
- [About and provenance](https://awesomerea.org/about/): Scope, source methods, counts, translations, and licenses.
- [Contribute to Awesome REA](https://awesomerea.org/contribute/): Submission forms, primary-evidence requirements and the PR workflow for humans and agents.

## Repository categories

- [Websites](https://awesomerea.org/browse/web-analysis/index.md): 217 automatically discovered repositories (unreviewed); Chinese: https://awesomerea.org/zh/browse/web-analysis/index.md
- [Games](https://awesomerea.org/browse/game-analysis/index.md): 491 automatically discovered repositories (unreviewed); Chinese: https://awesomerea.org/zh/browse/game-analysis/index.md
- [Apps · Android](https://awesomerea.org/browse/android/index.md): 482 automatically discovered repositories (unreviewed); Chinese: https://awesomerea.org/zh/browse/android/index.md
- [Apps · Managed code](https://awesomerea.org/browse/managed-code/index.md): 135 automatically discovered repositories (unreviewed); Chinese: https://awesomerea.org/zh/browse/managed-code/index.md
- [Native binaries](https://awesomerea.org/browse/native-analysis/index.md): 837 automatically discovered repositories (unreviewed); Chinese: https://awesomerea.org/zh/browse/native-analysis/index.md
- [Runtime and debugging](https://awesomerea.org/browse/dynamic-analysis/index.md): 152 automatically discovered repositories (unreviewed); Chinese: https://awesomerea.org/zh/browse/dynamic-analysis/index.md
- [Firmware](https://awesomerea.org/browse/firmware/index.md): 228 automatically discovered repositories (unreviewed); Chinese: https://awesomerea.org/zh/browse/firmware/index.md
- [Protocols](https://awesomerea.org/browse/protocol-analysis/index.md): 113 automatically discovered repositories (unreviewed); Chinese: https://awesomerea.org/zh/browse/protocol-analysis/index.md
- [General tools and collections](https://awesomerea.org/browse/reverse-engineering/index.md): 654 automatically discovered repositories (unreviewed); Chinese: https://awesomerea.org/zh/browse/reverse-engineering/index.md

## 简体中文

- [精选资源](https://awesomerea.org/zh/resources/index.md): 精选条目、使用条件、来源链接与复核日期。
- [案例合集](https://awesomerea.org/zh/cases/index.md): 424 个案例，是精选资源的子集，保留完整说明与来源证据。
- [研究论文](https://awesomerea.org/zh/papers/index.md): 单独维护的研究文献目录。
- [仓库目录](https://awesomerea.org/zh/browse/index.md): 自动发现的公开仓库分类（未审核）。
- [专题综述](https://awesomerea.org/zh/survey/): 综合比较证据、方法与边界的双语编辑性综述，单独版本化。
- [关于与来源](https://awesomerea.org/zh/about/): 收录范围、来源方法、数量、翻译与许可。
- [投稿与参与贡献](https://awesomerea.org/zh/contribute/): 人工与 Agent 的提交表单、一手证据要求和 PR 流程。
- [静态 API 说明](https://awesomerea.org/zh/api/index.md): 端点、字段与更新频率。

## API and feeds

- [API guide](https://awesomerea.org/api/index.md): Endpoints, fields, update frequency and versioning of the static JSON and CSV API.
- [Resources JSON](https://awesomerea.org/api/v1/resources.json): Every curated resource with stable IDs, bilingual text, requirements, evidence and review dates; CSV at https://awesomerea.org/api/v1/resources.csv.
- [Papers JSON](https://awesomerea.org/api/v1/papers.json): The bibliography with identifiers, dates and limits; CSV at https://awesomerea.org/api/v1/papers.csv.
- [Categories JSON](https://awesomerea.org/api/v1/categories.json): Curated categories, sections, kinds and targets with counts, plus the repository categories.
- [Candidates JSON](https://awesomerea.org/api/v1/candidates.json): Unreviewed automated discoveries and followed-source leads.
- [Changes JSON](https://awesomerea.org/api/v1/changes.json): Additions, source reviews and discovery batches of the last 30 days.
- [JSON Schema](https://awesomerea.org/api/v1/schema.json): The schema every API file declares.
- [Atom feed](https://awesomerea.org/feed.xml) and [JSON Feed](https://awesomerea.org/feed.json): Newly added entries; Chinese at https://awesomerea.org/zh/feed.xml and https://awesomerea.org/zh/feed.json.

## Contribute with an agent

- [Repository agent instructions](https://github.com/reacher-z/Awesome-REA/blob/main/AGENTS.md): Start here before editing the repository.
- [Agent contribution guide](https://github.com/reacher-z/Awesome-REA/blob/main/docs/agent-contributing.md): Deduplicate, review primary sources, edit the right data, run checks and submit an authenticated GitHub PR.
- [Agent 投稿指南](https://github.com/reacher-z/Awesome-REA/blob/main/docs/agent-contributing.zh-CN.md): 中文提交、证据和校验说明。
- [Catalog schema](https://github.com/reacher-z/Awesome-REA/blob/main/data/README.md): Authoritative resource and paper fields and classification vocabulary.
- [Choose an issue form](https://github.com/reacher-z/Awesome-REA/issues/new/choose): Suggest a resource, case, paper or correction.

## Public data and sources

- [Data manifest](https://awesomerea.org/data-manifest.json): Curated resources and papers only, with separate counts, file URLs, sizes and SHA-256 checksums; repository-discovery exports are listed separately below.
- [Clone the public catalog](https://github.com/reacher-z/Awesome-REA): Run `git clone https://github.com/reacher-z/Awesome-REA.git`, then read `data/README.md` for the curated JSON source files and Chinese translations. No installation or build is required to read the data.
- [Curated records JSONL](https://awesomerea.org/downloads/records.jsonl): One resource or paper per line; preserves source evidence, bilingual descriptions and limitations.
- [Curated catalog JSON](https://awesomerea.org/catalog.json): Curated descriptions and source evidence.
- [Published repository selection JSON](https://awesomerea.org/source-published.json): Published records, original descriptions, translations, hashes, exclusions and per-source capture totals; omit scope_status=excluded when reconstructing the browse list.
- [Canonical capture baseline JSON](https://awesomerea.org/source-index.json): The preserved original complete canonical scan export.
- [Browsable repository JSON](https://awesomerea.org/source-browser.json): Compact visible records. Follow `meta.full_export` for the complete companion and verify `meta.full_export_sha256`; the metadata selects the preserved baseline or a ready published selection.
- [Paper metadata JSON](https://awesomerea.org/papers.json): The separate research bibliography.
- [Hugging Face dataset mirror](https://huggingface.co/datasets/AgPerry/awesome-rea): Read-only Parquet and JSONL mirror of these exports, one config per record type (resources, papers, cases, repositories, discoveries, leads), refreshed every 2 hours; repositories, discoveries and leads are unreviewed.
- [Public source repository](https://github.com/reacher-z/Awesome-REA): Bilingual READMEs, contribution rules, code, and data definitions.
- [Scan methodology](https://github.com/reacher-z/Awesome-REA/blob/main/docs/source-scan.md): Collection and scope-review methods.

## Recently discovered repositories (unreviewed)

Unreviewed automated README scans that passed capture checks and a reverse-engineering topic screen. 1,794 are listed; last ingest 2026-11-06T14:32:13Z from scan run 42232277609.

- [Recently discovered (unreviewed)](https://awesomerea.org/discoveries/): The newest 100 discoveries with upstream links.
- [Discovery queue JSON](https://awesomerea.org/discoveries.json): The newest 1,000 records with review_status=unreviewed, batch provenance and capture hashes; batches[].records_url lists every record of each batch.
- [Discovery Atom feed](https://awesomerea.org/discoveries/feed.xml): The newest 100 discoveries.
- [Ingest status JSON](https://awesomerea.org/discoveries/status.json): last_successful_ingest_at and the scan run.
- [SecurityM/IntegrityGap](https://github.com/SecurityM/IntegrityGap): IntegrityGap — static binary analyzer that detects missing security behaviors in PE/ELF/ Mach-O (32/64-bit, fat/universal) executables across 10 core integrity dimensions, producing per-function gap s (unreviewed automated discovery)
- [Trivexqbn/iMonitor-System-Activity-Monitor](https://github.com/Trivexqbn/iMonitor-System-Activity-Monitor): powerful endpoint behavior analysis system and system activity monitor real-time process tracking, malware defense, EDR telemetry, and low-level runtime inspection for deep endpoint security auditing. (unreviewed automated discovery)
- [0xInitZer0/MalStat](https://github.com/0xInitZer0/MalStat): Static PE malware triage toolkit for Windows executables. Extracts structural features from EXE/DLL/SYS files, trains calibrated ML models, and generates explainable reports for benign vs malicious cl (unreviewed automated discovery)
- [ATRAPSLLC/autoit-rs](https://github.com/ATRAPSLLC/autoit-rs): Extract and inspect compiled AutoIt2Exe and A3X payloads (unreviewed automated discovery)
- [israaelnour/ctf-writeups](https://github.com/israaelnour/ctf-writeups): A collection of my CTF writeups, solutions, and scripts for various cybersecurity challenges. (unreviewed automated discovery)
- [abc1230940/SOC336-Windows-OLE-Zero-Click-RCE-Exploitation-Detected-CVE-2025-21298](https://github.com/abc1230940/SOC336-Windows-OLE-Zero-Click-RCE-Exploitation-Detected-CVE-2025-21298): SOC336 - Windows OLE Zero-Click RCE Exploitation Detected (CVE-2025-21298) Walkthrough (unreviewed automated discovery)
- [dhcybsec256/Malware-Analysis-Project](https://github.com/dhcybsec256/Malware-Analysis-Project): Static and Dynamic Malware Analysis of Real-world Samples, along with Online Sandbox Analysis (unreviewed automated discovery)
- [druserx/scrutator](https://github.com/druserx/scrutator): Analisador estatico de PE para analise de malware (unreviewed automated discovery)
- [andrei-ag/xpl_av](https://github.com/andrei-ag/xpl_av): Explosion Antivirus (unreviewed automated discovery)
- [henokkaraya/malware-analysis-lab1](https://github.com/henokkaraya/malware-analysis-lab1): Static and dynamic malware analysis lab using REMnux, Ghidra, Procmon, Wireshark and FakeNet-NG. (unreviewed automated discovery)
## Followed-source leads (unreviewed)

Links that registered public reverse-engineering lists, registries, topic searches, survey bibliographies, an arXiv query and Hugging Face searches list; not reviewed, curated, translated or run. 5,451 are listed; last collection 2026-11-06T12:15:25Z.

- [Lead queue JSON](https://awesomerea.org/discoveries/leads.json): The newest 1,000 leads with review_status=unreviewed, pinned listing evidence and batch provenance; batches[].records_url lists every lead of each batch.

## Optional

- [Full catalog in Markdown](https://awesomerea.org/llms-full.txt): Every curated resource and paper in one file, with requirements, limits and sources.
- [完整目录（Markdown）](https://awesomerea.org/zh/llms-full.txt): 全部精选资源与论文的中文版。
- [Sitemap index](https://awesomerea.org/sitemap.xml): Every canonical page, with its languages and data-derived modification dates.

This file is a navigation aid. Crawl policy is published in [robots.txt](https://awesomerea.org/robots.txt).