Unlock the Power of Science Communication
Join our hands-on workshop to master the art of communicating complex science to the world.
Workshop Overview
Who Can Attend?
A Early to Mid stage career faculty in science, medicine and engineering and senior researchers, post doctorates & fellows (Ramalingaswami Fellows, Inspire Fellows etc)
Target Audience
Ideal for scientists and researchers across various sectors (academia, medical, research organizations).
Why It Matters
Effective communication is key to influencing policymakers, engaging funders, and educating the public.
What You’ll Gain
The ability to simplify complex research into digestible content for diverse audiences, crafting impactful messages that leave a lasting impression of your work.
clipper decompiler
Workshop Highlights
Day 1
Basics of science communication, simplifying complex topics, and an introduction to digital tools.
Day 2
Social media strategies, visual storytelling, video creation for science.
Interactive Elements
Hands-on practice sessions and peer feedback for real-world applications.
Expert Guidance
Direct feedback from seasoned communication experts.
Day 1
Basics of science communication, simplifying complex topics, and an introduction to digital tools.
Day 2
Social media strategies, visual storytelling, video creation for science.
Interactive Elements
Hands-on practice sessions and peer feedback for real-world applications.
Expert Guidance
Direct feedback from seasoned communication experts.
Key Learning Outcomes
clipper decompiler

Simplify Complex Ideas: Learn to break down your research for a wider audience.

clipper decompiler

Master Social Media: Understand how to leverage platforms like LinkedIn, Twitter, and Instagram for scientific outreach.

clipper decompiler

Visual & Video Tools: Create compelling visuals and videos to explain your science.

clipper decompiler

Framework for Success: Build a long-term communication strategy for engaging diverse audiences.

clipper decompiler

Confidence Boost: Present your science confidently and engagingly in any context.

Register Here

Limited spots available

Clipper Decompiler File

Solidity’s move toward the intermediate representation (IR) broke almost every legacy decompiler. Clipper was built post-IR. It understands the optimizations the Solidity compiler makes when using via-ir , meaning it can decompile the most modern, gas-optimized contracts without vomiting errors. Use Case: The $50 Million Heist Consider a recent hypothetical exploit: A flash loan attack on a lending pool. The attacker’s transaction is on-chain forever. The team has the bytecode of the attacking contract, but the source code is private.

Don't trust the source code. Trust the bytecode.

// Clipper Output (Simplified) function executeFlashLoan(uint256 amount) external { // Recovered logic pool.flashLoan(amount, address(this)); uint256 debt = amount + amount * fee / 10000; // Attacker logic recovered uint256 manipulatedBalance = oracle.manipulate(amount); require(manipulatedBalance > debt, "Not profitable"); pool.repay(debt); emit Steal(manipulatedBalance - debt); }

However, as an open-source tool gaining traction in major security firms (Trail of Bits, ConsenSys Diligence), Clipper represents a maturation of the Web3 security stack. clipper decompiler

Suddenly, the opaque attack vector becomes a readable script. The researcher sees that the attacker manipulated the oracle before calculating the debt. Clipper didn't just list the opcodes; it reconstructed the narrative. Of course, a powerful decompiler is a double-edged sword.

The crypto community prides itself on "reading the source code" before apeing into a token. But what if the source code is unverified on Etherscan? Many projects rely on bytecode obscurity as a pseudo-defense mechanism, hoping that the complexity of the EVM will protect their flawed logic.

The EVM is stack-based and untyped. A uint256 looks exactly the same as an address or a bytes32 to the machine. Clipper employs heuristic taint analysis to guess types. If a value is used in CALL (the opcode for sending ETH), Clipper flags it as an address payable . If a variable is used in EXP , it is likely a power. This recovery turns var1 + var2 into userBalance + withdrawalAmount . Use Case: The $50 Million Heist Consider a

To a human, looking at 0x6080604052 is gibberish. To a security researcher, it is a headache.

In the world of software development, the adage "what is compiled can be decompiled" holds a sacred, albeit difficult, truth. For traditional computing, tools like IDA Pro and Ghidra have turned binaries back into readable code for decades. But for the blockchain—specifically the Ethereum Virtual Machine (EVM)—decompilation has historically felt like trying to reconstruct a sandcastle from a pile of dust.

Clipper is to EVM reverse-engineering what the microscope was to biology. It doesn't create new dangers; it merely illuminates the ones that have always existed in the dark. For anyone serious about blockchain security, Clipper isn't just a nice-to-have tool—it is the new standard of care. Don't trust the source code

While the name might evoke images of a fast crypto-wallet or a low-latency DEX, in the niche arena of blockchain security, Clipper is emerging as the sharpest scalpel for cutting through the opaque armor of bytecode. To understand why Clipper matters, you have to understand the pain of reading raw EVM bytecode. When a Solidity developer compiles a smart contract, it turns into a sequence of 60-byte opcodes: PUSH1 , MSTORE , SLOAD , DUP2 .

Traditional decompilers have existed for years (notably, Panoramix and the older Remix decompiler). However, they struggle with modern Solidity quirks: the IR-based compilation pipeline (via Yul), optimized bytecode, and the complex control flow of upgradeable proxies. They often produce code that is logically correct but structurally illegible—filled with goto statements and anonymous variables named var0 , var1 , var2 . Clipper was built not just to decompile, but to restore intent . Developed by a team of security researchers who grew tired of reverse-engineering hacks under a ticking clock, Clipper focuses on three core pillars:

This is terrifying for developers who rely on "security through obscurity." But for the 99% of the ecosystem trying to prevent the next $100M rug pull, it is liberation. Clipper is not yet perfect. The developers admit that "full decompilation is a halting problem." There will always be obfuscators that break heuristic analysis. Furthermore, complex assembly blocks inside Yul can still stump the engine.

A researcher pastes the bytecode into Clipper. Within seconds, the tool returns a structured output: