Towards Tackling Application Logic Flaws through Autonomous Formal-Logic Modeling and Automated Reasoning
LL-Verifier combines LLMs with logic model checking to automatically discover logic flaws, uncovering vulnerabilities in 27 IoT access-control protocols.
Researchers present LL-Verifier, a framework that uses LLMs to autonomously convert natural-language protocol descriptions and security goals into formal logic models in a new logic language built on Maude, then applies logic model checking for exhaustive verification. The framework targets application-logic flaws that are tied to business semantics and hard to scale with manual analysis. Evaluation on 27 access-control protocols of widely used IoT devices uncovered a range of sophisticated logic vulnerabilities with security and privacy implications.
- LLMs generate formal logic models from natural-language protocol descriptions.
- Models become logical state machines for exhaustive model checking.
- Evaluated on 27 access-control protocols of widely used IoT devices.
- Analysis uncovered sophisticated logic flaws with security and privacy impact.
- Products
- LL-VerifierMaude
From the original article
1 min read at arxiv.orgLogic flaws pose significant challenges in the design and implementation of modern, semantically rich systems and applications, impacting security, privacy, and trust. These flaws are inherently tied to business-specific semantics and threat models, making their discovery and reasoning difficult and hard to scale.
By Yiwei Fang · arxiv.org
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