Concolic Testing Path Prioritizer
Free to download on every platform. Comes pre-installed on BotFone, BotPad and BotFlip — with extra free apps included.
About this app
WHAT IT DOES
Concolic Testing Path Prioritizer analyzes smart contract bytecode, control flow graphs, and historical concolic execution logs to rank paths by their testing value. It retrieves on-chain contract bytecode via eth_getCode and fetches verified source code and ABI from block explorer APIs to construct detailed control flow graphs. The tool computes path complexity metrics including branch depth, constraint density, and interprocedural call complexity. It ingests historical concolic testing run logs containing path coverage data, branch constraint satisfaction rates, solver query statistics, and discovered vulnerabilities. By correlating these metrics with past outcomes, the prioritizer assigns each path a priority score indicating the likelihood of uncovering critical bugs. It also optionally pulls GitHub repository data to incorporate existing concolic testing configurations and coverage reports. The output is a ranked list of paths, with the highest-priority paths recommended for immediate testing, enabling you to focus concolic execution where it matters most.
HOW TO USE
Connect your BGWallet to the target EVM chain. Paste the contract address you intend to test concolically. Optionally, provide historical concolic execution logs in JSON format, including previously explored paths, branch constraint details, solver timing, and any vulnerabilities discovered. You can also supply a GitHub repository URL to pull existing concolic testing configuration files and coverage reports. The tool fetches bytecode and verification data, constructs a control flow graph, computes path complexity metrics, and correlates with historical logs to produce a ranked priority list. Use this ranking to configure your concolic testing engine, targeting high-priority paths first. The results include a priority score for each path, total paths analyzed, and an estimated coverage gain if the top paths are tested.
ADAPTIVE PATH RANKING WITH HISTORICAL FEEDBACK
The real technical mechanism is the adaptive path ranking engine that combines static analysis with historical execution feedback. The tool builds a weighted control flow graph from bytecode, assigning complexity weights to each basic block based on branch factor, loop nesting, and external call dependencies. It then computes a static priority score using a graph centrality algorithm that identifies paths likely to expose deep constraints. Crucially, the tool incorporates historical concolic execution logs to calibrate these scores: paths that have previously led to solver timeouts or discovered vulnerabilities are boosted in priority. The ranking uses a Bayesian updating mechanism—as new logs are ingested, the model adjusts its weights to reflect the actual difficulty of satisfying path constraints. This feedback loop means the prioritizer improves over time, learning which path characteristics correlate with bug discovery in your specific contract ecosystem. The engine also estimates the marginal coverage gain of exploring each path, allowing testers to balance thoroughness against computational cost. This approach reduces the time to find critical vulnerabilities by an average of 50-70% compared to random path selection, based on internal benchmarks across thousands of concolic testing runs.
WHAT IT CANNOT SEE
This tool cannot prioritize paths without access to bytecode analysis or historical concolic execution logs. It is limited by your RPC provider's rate limits for contract bytecode retrieval, which may delay analysis on congested networks. It cannot accurately prioritize paths for contracts with heavy external dependencies or complex interprocedural control flow that defy static analysis—these contracts may require manual path selection. The ranking relies on the accuracy and completeness of existing concolic testing logs and constraint solving metrics; incomplete or corrupted logs will degrade the recommendation. It cannot account for solver performance variability across different SMT solvers or hardware configurations, which can significantly affect path exploration time. The path prioritization is statistical and may not guarantee discovering all critical vulnerabilities; some subtle state-dependent bugs may lie on low-ranked paths. The tool cannot analyze contracts with extensive recursion or dynamic dispatch where path explosion makes prioritization infeasible; in such cases it warns and recommends manual inspection.
PLEASE NOTE
This tool works exclusively with EVM-compatible chains. It requires active internet connectivity to access block explorer APIs and RPC endpoints. Some block explorers may require API keys for high-volume bytecode retrieval. The prioritizer is read-only and does not execute concolic testing itself—it only produces path rankings. Always validate rankings against your specific contract's logic and risk profile before committing testing resources.