Formally Discovering and Reproducing Network Protocols Vulnerabilities

2025-03-03

Nordic Conference on Secure IT Systems

AI Summary

Detecting and reproducing boundary-case vulnerabilities—especially those arising from state machine logic flaws in network protocols—remains challenging for conventional fuzzing due to inadequate coverage and poor reproducibility. Method: This paper proposes the first closed-loop approach integrating formal protocol specification inference, lightweight symbolic execution, and controllable vulnerability trace generation. It leverages SMT-driven state modeling, automatic synthesis of protocol interaction constraints, and automated proof-of-concept (PoC) generation to achieve end-to-end automation from vulnerability discovery to precise reproduction. Contribution/Results: Evaluated on 12 mainstream protocol stacks, the method discovers 17 previously unknown vulnerabilities—including 6 assigned CVEs—with an average reproduction time under 8 seconds and a false positive rate below 3%. It significantly improves accuracy, interpretability, and reproducibility in deep protocol vulnerability detection.

Technology Category

Search and Optimization: Sampling/Simulation-based SearchPlanning, Routing, and Scheduling: Replanning and Plan RepairConstraint Satisfaction and Optimization: Satisfiability Modulo Theories

Application Category

Security and Privacy: Large-scale security measurementsSystems and Infrastructure for Web, Mobile and WoT: Web performance, measurement, and characterizationGraph Algorithms and Modeling for the Web: Representation, reconstruction, and subgraph or motif discovery in Web-related graphs

Problem

• Discover vulnerabilities in complex network protocols
• Reproduce vulnerabilities using attacker models
• Test single and multi-protocol interactions comprehensively

Innovation

• NACT integrates composable attacker specifications
• Uses formal specification mutations for testing
• Employs randomized constraint-solving techniques