{"id":48714565,"url":"https://github.com/tamvt-dev/hyperdecode","last_synced_at":"2026-04-11T16:01:12.808Z","repository":{"id":347476469,"uuid":"1194168412","full_name":"tamvt-dev/HyperDecode","owner":"tamvt-dev","description":"HyperDecode is a high-performance, extensible C-based application that automatically detects and decodes multiple encoding formats such as Base64, Morse, Hex, Binary, and more via a powerful plugin system.","archived":false,"fork":false,"pushed_at":"2026-04-11T09:52:06.000Z","size":8344,"stargazers_count":2,"open_issues_count":1,"forks_count":1,"subscribers_count":0,"default_branch":"HyperDecode-main","last_synced_at":"2026-04-11T11:27:44.397Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://github.com/tamvt-dev/HyperDecode","language":"C++","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/tamvt-dev.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2026-03-28T02:08:48.000Z","updated_at":"2026-04-11T10:53:28.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/tamvt-dev/HyperDecode","commit_stats":null,"previous_names":["tamvt-dev/auto_decode","tamvt-dev/hyperdecode"],"tags_count":3,"template":false,"template_full_name":null,"purl":"pkg:github/tamvt-dev/HyperDecode","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tamvt-dev%2FHyperDecode","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tamvt-dev%2FHyperDecode/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tamvt-dev%2FHyperDecode/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tamvt-dev%2FHyperDecode/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tamvt-dev","download_url":"https://codeload.github.com/tamvt-dev/HyperDecode/tar.gz/refs/heads/HyperDecode-main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tamvt-dev%2FHyperDecode/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31686141,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-11T13:07:20.380Z","status":"ssl_error","status_checked_at":"2026-04-11T13:06:47.903Z","response_time":54,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":[],"created_at":"2026-04-11T16:01:03.289Z","updated_at":"2026-04-11T16:01:12.799Z","avatar_url":"https://github.com/tamvt-dev.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# \u003cp align=\"center\"\u003e🛡️ HyperDecode\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Intelligence-Probabilistic_Search-brightgreen\" alt=\"Intelligence\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Language-Pure_C-blue\" alt=\"Language\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/RAM_Usage-\u003c32MB-orange\" alt=\"RAM\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/Status-v3.2.0-yellow\" alt=\"Status\"\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003cstrong\u003eHigh-Confidence Heuristic Engine for Multi-Layer De-obfuscation.\u003c/strong\u003e\u003cbr\u003e\n  \u003cem\u003eTreating decoding as a probabilistic search problem with near real-time exploration.\u003c/em\u003e\n\u003c/p\u003e\n\n---\n\n## 🔍 Overview\n\n**HyperDecode** treats decoding as a dynamic search problem rather than a static sequence of operations. Unlike traditional tools, it explores a weighted tree of possible decoding paths using a **Heuristic Beam Search** strategy—simulating a lightweight inference process. \n\nThe search process forms a **Directed Acyclic Graph (DAG)**, allowing the engine to recover the original payload across deeply nested and unknown transformation layers with high-confidence accuracy.\n\n---\n\n## 🧠 Design Philosophy\n\nHyperDecode is built on a simple principle:\n\u003e *\"If a human can iteratively guess and validate decoding steps, the process can be modeled as a search problem.\"*\n\nBy combining heuristic scoring with controlled exploration, HyperDecode automates this human intuition at machine speed. Inspired by search strategies used in AI inference and symbolic execution systems.\n\n---\n\n## 🧬 How It Works (Core Concepts)\n\n### 1. The Search Workflow (Visual)\n\n```mermaid\ngraph TD\n    Raw[\"Input Data\"] --\u003e Gen{\"Candidate Generator\"}\n    Gen --\u003e|\"Decoders (Base64/Hex/XOR)\"| S[\"Score Evaluation\"]\n    S --\u003e Engine[\"Scoring Engine\"]\n    Engine --\u003e|\"Heuristic Pruning\"| Pool[\"Beam Search Pool\"]\n    Pool --\u003e|\"Depth Check\"| Gen\n    Pool --\u003e|\"High Confidence\"| Result[\"Ranked Output\"]\n```\n\n### 2. Theoretical Framework\nHyperDecode models de-obfuscation as a traversal through a **State Space**. For each depth $t$, the search pool $S_{t+1}$ is updated by evaluating all potential successors:\n\n$$S_{next} = \\text{TopK}_{s' \\in \\{ f_e(s) \\mid s \\in S, e \\in \\text{Edges} \\}} \\text{Score}(s')$$\n\n- **State Space**: Each intermediate output is treated as a node in the transformation graph.\n- **Transition Function**: Decoders act as edges transforming $s \\xrightarrow{f_e} s'$.\n- **Heuristic Function**: The Scoring Engine acts as a **proxy for semantic understanding**, evaluating Shannon entropy, magic numbers, and character distribution.\n- **Beam Width Control**: Limits exploration to the Top-K candidates at each depth to prevent recursive combinatorial explosion.\n\n---\n\n## 🚀 Quick Look: Interaction Trace\n\nWhen running with the `--trace` flag, HyperDecode reveals its internal decision-making process:\n\n```text\n[Pipeline] Input: \"U0dWc2JHOGdhVzRnU0dWNGNHeHZaR1VnUTNScGJtY2dRaFpYSlV4...\"\n   ├── Level 1: Base64 detected (Score: 0.92) -\u003e \"SGVsbG8gaW4gSGV4cXZkZGUgQ3Rpbmc...\"\n   ├── Level 2: Hex detected    (Score: 0.88) -\u003e \"XOR:0x41 decryption sequence...\"\n   ├── Level 3: XOR (Key:0x41)  (Score: 0.99) -\u003e \"HyperDecode Success! { ... }\"\n[Result] Final Match Found in 12ms.\n```\n\n---\n\n## ✨ Key Features\n\n- 🧠 **Heuristic Graph Search**: Dynamically explores a transformation DAG using beam search and scoring.\n- ⚡ **Native Performance**: High-speed C core optimized for massive recursive tasks (MSYS2/UCRT64).\n- 🔋 **Feather-Light**: Maintains a **\u003c32MB RAM** footprint—ideal for professional environments.\n- 📋 **Recipe System**: Design, save, and batch-apply custom transformation chains.\n- ⌨️ **Colorized CLI**: Professional terminal interface with interactive path trace and JSON export.\n\n---\n\n## 📊 Performance Benchmark\n*Tested on: Intel i5-7200U / 16GB RAM (Single-threaded)*\n\n| Input Complexity | Obfuscation Layers | Time (Avg) | Success |\n| :--- | :---: | :---: | :---: |\n| Base64 → Hex → XOR | 3 | **12ms** | ✅ High |\n| Double Base64 + Rot13 | 3 | **8ms** | ✅ High |\n| Unknown Mixed Encoding | 5 | **35ms** | ✅ Med |\n\n---\n\n## 📦 Installation Guide (CLI)\n\n1. Download the latest release from the [Releases](https://github.com/tamvt-dev/HyperDecode/releases).\n2. Run the automated installer:\n   ```powershell\n   .\\install_cli.ps1\n   ```\n3. Restart your terminal to apply PATH changes globally.\n\n---\n\n## 🛤️ Roadmap\n- [ ] **ML Scoring Core**: Integrate *Tinygrad* or *ONNX Runtime Core* for research-grade scoring.\n- [ ] **Adaptive Beam Width**: Dynamically adjust search breadth based on data confidence.\n- [ ] **Scripting Plugin**: Lua \u0026 Python support for custom transition functions.\n\n---\n\n**Developed with ❤️ by HyperDecode Team.**  \n[Repository](https://github.com/tamvt-dev/HyperDecode) • [Report Issue](https://github.com/tamvt-dev/HyperDecode/issues)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftamvt-dev%2Fhyperdecode","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftamvt-dev%2Fhyperdecode","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftamvt-dev%2Fhyperdecode/lists"}