Software transparency requires understanding not only which components a software system includes, but also which behaviors it may exhibit during execution. Component-level information can reveal what a software product is made of, but it does not explain how it acts once executed, nor whether it performs behaviors that may affect privacy, security, or user trust. Recent work introduced Equivocal Software Behaviors (ESBs), i.e., behaviors that are not necessarily malicious but may raise uncertainty about software goals, privacy, or security when left unexplained. In this short paper, we present BEHAVE, the amBiguous and Equivocal beHAviors Verification Engine, a tool designed to make ESB analysis actionable for software assessment. BEHAVE automates the collection, integration, and summarization of equivocal behavioral evidence from heterogeneous information sources, producing concise ESB profiles for individual software samples and aggregate views for software collections. By making source-specific and shared evidence explicit, BEHAVE supports the comparison of equivocal behavioral observations across information sources, operating environments, and topic-specific custom requirements extending the standard ESB taxonomy. We exercised BEHAVE in a pilot analysis of 400 selected software samples from public datasets. The results show that BEHAVE can effectively support software inspection by exposing differences among information sources and by highlighting environment-specific ESB profiles.