[sleuthkit-users] Introducing Amele : Next-Gen Open-Source Digital Forensics & Incident Response Engine

[melihemik <mel...@pr...>]

Hello,
In digital forensics and incident response (DFIR) operations, speed, cryptographic evidence integrity, and cross-platform flexibility are paramount.

We are thrilled to officially introduce Amele — a high-performance, modern open-source DFIR platform.

🔍 What is Amele?
Amele is a fast, memory-safe, Rust-powered digital forensics and incident response platform designed for field investigators, security researchers, and sysadmins. It facilitates dead & live forensic acquisitions across servers, endpoints, mobile devices, and containers while rigorously adhering to the RFC 3227 order of volatility.

⚡ Key Capabilities
* 🐧 Linux Forensics: Live physical memory acquisition (/proc/kcore, LiME), raw disk imaging, and agentless Zero-Disk SSH streaming (operating strictly in RAM without writing artifacts to target storage).
* 🪟 Windows Forensics: Kernel-level raw memory dumps, \\.\PhysicalDriveX physical disk acquisitions, and Volume Shadow Copy (VSS) extraction.
* 📱 Android & iOS Mobile Forensics: ADB logical extractions, dangerous permission auditing, proprietary Android MFT parsing, root detection, and iOS Manifest.db backup normalization & jailbreak forensics.
* 🐳 Docker & Cloud Forensics: Filesystem drift detection against base images and automated scanning for leaked credentials/tokens in container environments.
* 📦 Tamper-Evident Case Packaging (.amelecase): Bundles all raw images, metadata, analyst notes, and SHA-256 manifests into verified, cryptographically signed case archives.
* 🤖 AI Agent Ready (SKILL.md): Full operational specification for autonomous LLMs and agentic workflows.
* 🖥️ Multi-Interface Support: Unified CLI for terminal scripting, Native Desktop UI (amele ui), and Browser Debug mode (amele ui-browser).

🔗 Links:
* 🌐 Official Website: https://amele.noirlang.tr
* 🐙 GitHub Repository: https://github.com/noirlang/amele

Best regards,
Melih Emik
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