AVML (Acquire Volatile Memory for Linux) Logo

AVML (Acquire Volatile Memory for Linux)

A portable Rust-based tool for acquiring volatile memory from Linux systems without requiring prior knowledge of the target OS distribution or kernel.

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Nikoloz Kokhreidze
Nikoloz Kokhreidze

Founder & Fractional CISO

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AVML (Acquire Volatile Memory for Linux) Description

AVML (Acquire Volatile Memory for Linux) is a portable volatile memory acquisition tool designed for Linux systems. Written in Rust as an X86_64 userland application, it functions as a static binary that can acquire memory without requiring prior knowledge of the target operating system distribution or kernel version. The tool operates by accessing memory through multiple sources including /dev/crash, /proc/kcore, and /dev/mem. When no specific memory source is specified, AVML automatically iterates through available sources to identify a functional option. It supports saving acquired memory images to external locations via Azure Blob Store or HTTP PUT methods. Key capabilities include automatic retry functionality with exponential backoff for network upload issues, optional page-level compression using Snappy algorithm, and compatibility with LiME output format when compression is not enabled. The tool requires no on-target compilation or system fingerprinting. AVML has been tested across multiple Linux distributions including Ubuntu (versions 12.04 through 22.04), CentOS (6.5 through 7.9), RHEL (6.7 through 9.0), and Debian (versions 8, 9, and 10). The tool cannot function when the kernel_lockdown feature is enabled on the target system.

AVML (Acquire Volatile Memory for Linux) FAQ

Common questions about AVML (Acquire Volatile Memory for Linux) including features, pricing, alternatives, and user reviews.

AVML (Acquire Volatile Memory for Linux) is A portable Rust-based tool for acquiring volatile memory from Linux systems without requiring prior knowledge of the target OS distribution or kernel.. It is a Security Operations solution designed to help security teams with Azure, Digital Forensics, Forensic Tool.

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