Avatar²
Avatar² is a free, Apache-2.0 licensed Python framework for dynamic analysis of embedded-device firmware.
What Avatar² is
Avatar² is a free, Apache-2.0 licensed Python framework for dynamic analysis of embedded-device firmware. It coordinates targets, memory layouts, and execution plans to distribute firmware execution across targets, which communicate through protocols with emulators, analysis frameworks, or physical devices. Documented targets include GDB, OpenOCD, J-Link, QEMU, and PANDA. OpenOCDTarget connects to physical hardware over JTAG, while JLinkTarget supports SWD and JTAG. PANDA support includes execution recording and replay, as well as loading, unloading, and listing analysis plugins. Memory layouts define regions and forwarding rules for reads and writes between targets. The project documents installation through pip, source, or Docker; QEMU and PANDA are Docker defaults. It supports Linux and lists ARM Cortex-M3 and x86-64 architectures. The README provides target build scripts for Ubuntu 20.04; other distributions are not officially supported, though they may work with modifications. Maintained by EURECOM’s Software and System Security Group, the project directs users to a public mailing list and an invite-based Slack community.
Good
- Free and Apache-2.0 licensed.
- Coordinates execution across multiple targets.
- Documents GDB, OpenOCD, J-Link, QEMU, and PANDA.
- PANDA supports execution recording and replay.
- Installable through pip, source, or Docker.
Watch out
- Linux is the listed supported platform.
- Other distributions are not officially supported.
- Slack support requires an invitation.
Who it suits
It is intended for analysts working on dynamic analysis of embedded devices, especially those coordinating firmware execution across multiple targets. It is a Linux project with documented target build scripts for Ubuntu 20.04.
Verdict
Avatar² provides a free framework for coordinating dynamic firmware analysis across hardware and analysis targets. Check its Linux and distribution guidance against your environment before using it.
Plans and prices
From Avatar²'s own pricing page, checked 7 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Avatar² | Free | Apache-2.0 licensed Python framework · install with pip or from source |
The facts
Each one read from Avatar²'s own pages, with the date it was checked.
What it does
- Audience
- The project describes its framework as designed for analysts working with dynamic analysis of embedded devices.checked 7 Oct 2026
- Distribution
- The project README documents installation with pip, from source, or in Docker, with QEMU and PANDA as the Docker defaults.checked 7 Oct 2026
- Hardware access
- OpenOCDTarget connects to physical targets over JTAG, and JLinkTarget supports SWD and JTAG.checked 7 Oct 2026
- License
- The repository identifies its license as Apache-2.0.checked 7 Oct 2026
- Maintainer
- Avatar² is developed and maintained by EURECOM's Software and System Security Group.checked 7 Oct 2026
- Memory forwarding
- The memory layout describes memory regions and rules for forwarding reads and writes between targets.checked 7 Oct 2026
- Multi-target analysis
- It coordinates targets, memory layouts, and execution plans to divide firmware execution across targets.checked 7 Oct 2026
- PANDA capabilities
- PANDA support includes execution recording and replay and loading, unloading, and listing analysis plugins.checked 7 Oct 2026
- Purpose
- Avatar² is a target orchestration framework for dynamic analysis of embedded-device firmware.checked 7 Oct 2026
- Support
- The maintainers direct users to a public mailing list and an invite-based Slack community.checked 7 Oct 2026
- Supported targets
- The handbook documents GDB, OpenOCD, J-Link, QEMU, and PANDA targets.checked 7 Oct 2026
- Target architecture
- Targets communicate with endpoints such as emulators, analysis frameworks, or physical devices through protocols.checked 7 Oct 2026
Where it runs
- Platform limits
- The README provides target build scripts for Ubuntu 20.04 and says other distributions are not officially supported, though they may work with modifications.checked 7 Oct 2026
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