Dangr

Latest version: v0.0.13

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2.0alpha

1.0alpha

🚀 Introducing dAngr v1.0-alpha: Empowering Selective and Platform-Independent Binary Analysis for IoT Security

We're excited to announce the release of dAngr v1.0 – a powerful symbolic debugger designed to improve binary analysis in the IoT security landscape.

Key Features:

Selective Execution: Say goodbye to exhaustive emulation! dAngr enables selective execution, allowing users to bypass hardware dependencies inherent in binaries. This means critical functions can be analyzed instantly, without being hindered by calls to flash memory.

Platform-Independent Analysis: Leveraging the robustness of angr, dAngr offers a completely platform-independent analysis environment. Now, you can seamlessly analyze binaries across heterogeneous IoT devices without compatibility concerns.

Enhanced Security: Uncover critical vulnerabilities with ease! dAngr empowers researchers to identify and mitigate security flaws within IoT devices.

Feedback and Support:

Have questions or feedback? Don't hesitate to reach out to us or [Iopen an issue](https://github.com/angr-debugging/dAngr/issues) on our repository.

Extra information
This project is a part of a paper accepted for the USENIX WOOT conference 2024.

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