Effective verification of the true positives from false positives is crucial for improving the usability of static analysis tools and bolstering software security. Directed greybox fuzzing (DGF), based on dynamic execution, can confirm real vulnerabilities and provide proof-of-concept exploits, offering a promising solution. However, existing DGF tools are ineffective in verifying static analysis results because they are unaware of the semantic information about individual alarms and the correlations among multiple alarms.