There were 4.66 billion active internet users globally in January 2021, accounting for 59.5 percent of the global population. 92.6 percent (4.32 billion) of this total used mobile devices to access the internet (Johnson, 2021). With the growing number of internet users and social media platform users, cybercrimes are also growing with new forms coming in now and then. One of the recent trends is Sextortion on social media platforms. Fraudsters ask potential victims to have a nude video call on WhatsApp and they record the act. Then they demand money for not posting it on social media platforms. And they even threaten to send video clips to family members. Trapped victims generally pay the money to get away with the situation. In the present study, one of the victims submitted his call recording with the fraudster, who was claiming to be a major law enforcement agency officer. The fraudster tried to extort the money from the victim on the pretext of taking down the viral video of him in WhatsApp chat. The present research paper is attempting to analyze the audio clip in the Layered Voice Analysis (LVA) Technology. The research paper has explained the analysis process of computerized voice stress analysis of the audio clips. The research paper concluded the case study by explaining the incident through Routine Activity Theory. Analysis of the crime study has proved that fraudster was deceptive in the audio clip using the LVA Technique.