Most current tools for smart contract analysis fail to efficiently detect vulnerabilities related to address verification due to fundamental limitations in their approaches. Many solutions based on dynamic analysis, symbolic execution, or traditional taint analysis face issues such as incomplete memory modeling, high computational costs, and a high rate of false positives or negatives. These shortcomings make it difficult to identify subtle errors such as incorrect msg.sender checks, inappropriate use of tx.origin, unsafe delegation via delegatecall, and storage aliasing that compromise the security of contracts on Ethereum.
Dynamic analysis tools depend on concrete executions and therefore do not explore all possible paths nor correctly model the interactions between the EVM's stack, memory, and storage; symbolic execution can face combinatorial explosion and loses precision due to simplified memory models; conventional taint analyzers often do not faithfully simulate the EVM's memory and behavior, so they do not track data flows that cross boundaries between storage and memory or between internal and external calls.
AVVERIFIER proposes a static alternative based on precise EVM simulation with taint analysis designed to overcome these limitations. By simulating EVM operations at the stack, memory, and storage level, AVVERIFIER maintains an explicit state model that allows identifying whether an address check is effective across all relevant paths. Its approach combines path summarization, context-sensitive taint propagation, and aliasing models to reduce false positives and negatives without relying solely on explorations driven by concrete inputs.
The keys to the success of AVVERIFIER's static analysis include detailed memory and storage modeling that reproduces how the EVM resolves addresses and offsets, taint propagation that distinguishes constant values, derived addresses, and external values, and a scaling strategy that applies conservative abstractions only when necessary to maintain efficiency. This combination enables the detection of address verification vulnerabilities that escape tools that do not consider complex interactions between storage, memory, and internal calls.
Practical examples where AVVERIFIER excels include detecting bypasses in ownership checks when proxies or delegatecall are used, identifying taint flows that turn external inputs into address parameters without validation, and checking logical conditions that combine multiple trust sources unsafely. Thanks to EVM simulation, AVVERIFIER also captures subtle effects of gas and evaluation order that can affect the validity of an address check at runtime.
At Q2BSTUDIO we apply similar principles to offer comprehensive smart contract development and auditing services. As a custom software and application development company, we specialize in designing secure and scalable solutions, integrating cybersecurity practices and advanced artificial intelligence techniques. Our offering includes custom software development, custom applications, and security audits that combine deep static analysis like AVVERIFIER with dynamic testing focused on real cases.
Additionally, at Q2BSTUDIO we provide AWS and Azure cloud services to deploy highly available and secure infrastructures, business intelligence and Power BI services for data visualization and analysis, and AI solutions for companies such as custom AI agents that automate processes and improve decision-making. Our artificial intelligence capabilities allow us to build AI agents and learning systems that complement security audits and optimize continuous monitoring processes.
If you are looking to reduce risks in smart contracts or create reliable software, Q2BSTUDIO offers expertise in cybersecurity, custom applications, custom software, applied artificial intelligence, and AWS and Azure cloud services. We integrate business intelligence services, Power BI, and AI agents to turn data into actionable decisions and protect critical assets. Contact Q2BSTUDIO for custom solutions that combine advanced auditing, secure development, and business-oriented artificial intelligence capabilities.
