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Model detects smart contract vulnerabilities with 90% f1 score

Smart Contract Vulnerability Detection | New Model Shows 90% F1 Score

By

Carlos Gomez

Apr 27, 2025, 11:42 AM

Edited By

Yuki Tanaka

Less than a minute read

A visual representation of a model analyzing smart contracts for vulnerabilities with a high accuracy rate.

A latest initiative in blockchain security reveals a model that detects smart contract vulnerabilities with impressive efficiency, boasting an F1 score of 90%. This comes amid growing concerns about security in the crypto space, as more projects face threats.

High Performance Metrics

The model's technical metrics outshine industry standards:

  • Precision: 91.0%

  • Recall: 89.0%

  • Accuracy: 92.0%

  • False Positive Rate: 9.0%

  • Processing Time: ~ per contract

This model analyzes code patterns across various blockchain platforms, including Ethereum and Solana, offering extensive coverage against vulnerabilities like reentrancy and access control issues.

Vulnerability-Specific Performance

The efficiency doesn’t stop at overall metrics. Performance against specific vulnerabilities is as follows:

  • Reentrancy: 93% F1

  • Access Control: 90% F1

  • Arithmetic Issues: 92% F1

  • Denial of Service: 86% F1

While the developer aims to improve detection further, the preliminary results signal a significant advancement. "As in Beefy Finance, yes. There are three things I need to train still," the developer noted.

Researchers Seek Feedback

The model creator seeks guidance from blockchain security veterans, asking what metrics should be prioritized for critical vulnerabilities:

"What emerging vulnerabilities should I incorporate into training data?"

The call for insights reflects a commitment to refining the model, highlighting ongoing developments in the area.

Member Sentiment on Forums

Community responses have varied, with some raising concerns about overfitting while others extend encouragement.

  • Positive Responses: "Thank you good sir."

  • Caution in Testing: Users also warned, "Be careful of overfitting."

Key Insights

  • β–½ 90% Performance: The system achieves top-tier metrics, exceeding industry averages.

  • πŸ’¬ Security Experts Needed: Continued input from the security community is highly desired.

  • πŸš€ Vulnerability Focus: There's an emphasis on critical types like Denial of Service.

As blockchain projects grow, robust security measures become essential. This model could play a crucial role in protecting the ecosystem.