7 citations · 13 across the 7 of their papers we have counts for
5 papers · 1 filter
FLAMES: Fine-tuning LLMs to Synthesize Invariants for Smart Contract Security
Mojtaba Eshghie, Gabriele Morello, Matteo Lauretano +2
Smart contract vulnerabilities cost billions of dollars annually, yet existing automated analysis tools fail to generate deployable defenses. We present FLAMES, a novel automated a…
SoK: Root Cause of $1 Billion Loss in Smart Contract Real-World Attacks via a Systematic Literature Review of Vulnerabilities
Hadis Rezaei, Mojtaba Eshghie, Karl Anderesson +1
While catastrophic attacks on Ethereum persist, vulnerability research remains fixated on implementation-level smart contract bugs, creating a gap between academic understanding of…
A Dynamic Tree Structure for Hierarchical On-Chain Asset Management
Mojtaba Eshghie, Gustav Andersson Kasche
In this paper, we introduce the Sarv, a novel non-monolithic blockchain-based data structure designed to represent hierarchical relationships between digitally representable compon…
HighGuard: Cross-Chain Business Logic Monitoring of Smart Contracts
Mojtaba Eshghie, Wolfgang Ahrendt, Cyrille Artho +2
Logical flaws in smart contracts are often exploited, leading to significant financial losses. Our tool, HighGuard, detects transactions that violate business logic specifications…
Dynamic Vulnerability Detection on Smart Contracts Using Machine Learning
Mojtaba Eshghie, Cyrille Artho, Dilian Gurov
In this work we propose Dynamit, a monitoring framework to detect reentrancy vulnerabilities in Ethereum smart contracts. The novelty of our framework is that it relies only on tra…