This information is preliminary and will be updated before and during the conference.

Tutorial at PLDI 2019

At a Glance

Title: Dynamically Analyzing WebAssembly with Wasabi.
Where: PLDI 2019 in Phoenix, AZ, USA.
When: Sunday, 23 June 2019, half a day (afternoon).


WebAssembly is the new binary instruction format for the web, finally giving an alternative to JavaScript as the only portable programming language supported by web browsers. An important way of analyzing WebAssembly applications will be dynamic analyses, but implementing a dynamic analysis from scratch is non-trivial.

This tutorial gives a gentle introduction to Wasabi, a general-purpose framework for easily implementing heavyweight dynamic analyses of WebAssembly code. Wasabi is based on ahead-of-time byte code instrumentation, which inserts calls to analysis hooks in between the original program’s instructions. These hooks, written in JavaScript by the analysis author, enable the implementation of powerful dynamic analyses, e.g., taint analysis, memory profilers, coverage measurements, or detectors of cryptocurrency mining.

The tutorial will explain the design of Wasabi and give a hands-on introduction to writing dynamic analysis for WebAssembly. Participants will run a simple web application containing WebAssembly code, apply Wasabi to it, and implement a sequence of increasingly complex analyses under the guidance of the creators of Wasabi.

To learn more about Wasabi, you can follow the introduction here.

More Details

(Under revision.)

Duration: Half day.

Schedule: Ca. 40% presentation and 60% hands-on exercises.

Audience: Researchers and practitioners interested in

  1. WebAssembly,
  2. binary instrumentation,
  3. dynamic analysis, and/or
  4. how to write dynamic analyses in Wasabi and apply them to real-world web applications.


Michael Pradel, TU Darmstadt

Michael is an assistant professor at TU Darmstadt, which he joined after a PhD at ETH Zurich and a post-doc at UC Berkeley. His research interests span software engineering, programming languages, security, and machine learning, with a focus on tools and techniques for building reliable, efficient, and secure software. In particular, he is interested in dynamic program analysis, test generation, concurrency, performance profiling, JavaScript-based web applications, and machine learning-based program analysis.

Daniel Lehmann, TU Darmstadt

Daniel is a second-year PhD student interested in program analysis, programming languages, and security. He is the main developer of Wasabi, a general-purpose dynamic analysis framework for WebAssembly. Beyond that, Daniel has worked on automatic testing of JavaScript debuggers and on using return-oriented programming to circumvent course-grained control-flow integrity protection for native programs.