This study investigates vibration effects on GNSS clock performance and their application to receiver fingerprinting in dynamic environments. Through a flight experiment, it was observed that clock stability degrades by roughly one order of magnitude under vibration, and clock behaviors remain observable, exceeding simulated time-difference PLL-based observation noise. A vibration-induced clock behavior model was developed via an integral method. The results of the modeled clock performance show good agreement with the measured kinematic performance for the CSAC Microsemi MAC, while varying levels of discrepancies remain for other oscillator types. Features extracted from vibration-corrected kinematic ADEVs were applied in GNSS receiver fingerprinting, showing improved identification accuracy for short-duration data segments. The findings indicate that accounting for vibration effects not only enables an accurate characterization of clock dynamic stress under motion but also enhances the effectiveness of receiver fingerprinting techniques in dynamic GNSS scenarios.