Solidity Meets LLMs: A Transformer-Based Approach to Smart Contract Vulnerability Detection

Reported by arXiv cs.CR (Djamel Eddine Hakim Ghorab, Farid Mokhati, Mostafa Anouar Ghorab)

Summary by Cyber Security News24 Sep 2026, 06:00 CEST

About this summary. This is a short, independently written summary of an article first published by arXiv cs.CR. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2609.27091

arXiv:2609.27091v1 Announce Type: new Abstract: The growing adoption of blockchain technologies, particularly the Ethereum platform, has amplified the critical role of smart contracts in decentralized applications. However, the increasing complexity and financial value of these contracts make them prime targets for cyber attacks. In this work, we present a transformer-based approach for the detection of vulnerabilities in smart contract fragments written in Solidity.

Read the full article at arXiv cs.CR →

Source attribution: headline and facts are from arXiv cs.CR (arxiv.org). Summary method: excerpt of the source description. See our source attribution policy.

Related coverage

ACTS: A multi-tier benchmark evaluating LLM cipher identification under controlled blind conditions

The Like Trap: Multi-Stage Poisoning against Agents in Similarity-based Recommendation Systems

Seal, Then Sample: Sampled Layerwise Proofs for Verifiable LLM Inference from GPT-2 to 70B

EVAGE: Autonomous MEV Generation and Adaptation via Multi-Agent Harness

Hannibal Puts Autonomous Penetration Testing Under Your Control

CARBONATO: a botnet built around an AI agent