EPISODE · Sep 11, 2025 · 4 MIN
Unmasking Digital Deception: SIM Swaps, Fake Prescriptions, and University Data Breaches Exposed
from Swipe Stories: Caught in the Con · host Inception Point AI
# Swipe Stories: Caught in the Con - Digital Dangers Exposed Join cybersecurity expert Finn Hack for an electrifying deep dive into 2024's most alarming digital threats. This episode unpacks the explosive rise in SIM swap attacks targeting vulnerable populations, exposes dangerous fake GLP-1 medication scams circulating through text messages, and reveals how a university data breach compromised 10,000 student profiles. Learn practical protection strategies against social engineering, phishing schemes, and credential theft in this fast-paced exploration of modern cyber cons. Essential listening for anyone who values their digital security in an increasingly vulnerable online landscape. Some great Deals https://amzn.to/49SJ3Qs For more check out http://www.quietplease.ai This content was created in partnership and with the help of Artificial Intelligence AI.
What this episode covers
# Swipe Stories: Caught in the Con - Digital Dangers Exposed Join cybersecurity expert Finn Hack for an electrifying deep dive into 2024's most alarming digital threats. This episode unpacks the explosive rise in SIM swap attacks targeting vulnerable populations, exposes dangerous fake GLP-1 medication scams circulating through text messages, and reveals how a university data breach compromised 10,000 student profiles. Learn practical protection strategies against social engineering, phishing schemes, and credential theft in this fast-paced exploration of modern cyber cons. Essential listening for anyone who values their digital security in an increasingly vulnerable online landscape. Some great Deals https://amzn.to/49SJ3Qs For more check out http://www.quietplease.ai This content was created in partnership and with the help of Artificial Intelligence AI.
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Unmasking Digital Deception: SIM Swaps, Fake Prescriptions, and University Data Breaches Exposed
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