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LLM-Based Social Engineering Scams

OpenAI disrupted a social engineering group from Cambodia that used ChatGPT. Its scope is impressive:

The network simultaneously conducted multiple types of scams, often blending elements from different schemes. For instance, operators used dating personas to build trust before introducing fraudulent investment opportunities involving cryptocurrencies and spot gold trading. Other users engaged in lengthy romantic conversations with targets using fictitious identities, posed as representatives of online gambling platforms offering fake bonuses and winnings, or impersonated law enforcement agencies to tell targets they needed to pay fines for committing serious criminal offenses.

Although the narratives varied, users across the network consistently displayed the same underlying pattern of deceptive behavior. For example, they created and operated fake dating profiles, fictitious investment experts, and fraudulent law enforcement personas. They also generated images of forged documents, including passports, legal notices, stock-purchase confirmations, and gambling platform interfaces.

First-Person Identity Theft Story

Harrowing story of an identity theft victim.

Yes, the person made a mistake—they gave the scammer a two-factor authentication code that allowed the scammer to take over their email address. But the real story here is how, for many of us, the security of most of our accounts hangs on the security of our email accounts.

Fast16 Malware

Researchers have reverse-engineered a piece of malware named Fast16. It’s almost certainly state-sponsored, probably US in origin, and was deployed against Iran years before Stuxnet:

“…the Fast16 malware was designed to carry out the most subtle form of sabotage ever seen in an in-the-wild malware tool: By automatically spreading across networks and then silently manipulating computation processes in certain software applications that perform high-precision mathematical calculations and simulate physical phenomena, Fast16 can alter the results of those programs to cause failures that range from faulty research results to catastrophic damage to real-world equipment.”

Another news article.

Lots of interesting details at the links.

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