Introduction
Artificial intelligence has exploded in a brand new way the past couple of years. The emergence of advanced chatbots have helped us all, but complex deepfakes have also given cybercriminals a faster and more effective method for perpetuating their bad acts.
AI can create brand-new malware code in minutes, compared to the hours it would take a threat actor to make one manually. They can take audio and video files of real people (even YOU!) and generate fake clips of them posting, speaking and performing various actions.
The latter is a cyberattack known as deepfaking.
The Dangers of Deepfakes
A projected 8M deepfakes will spread this year.
Many high-profile deepfake cases have sprung up to demonstrate the severity of artificial intelligence-driven cyberattacks. Here are some examples you may have heard about!
- International pop star Taylor Swift was one of many celebrities who dealt with legal battles following widespread deepfake videos.
- Popular rap artist Megan the Stallion sued a Youtube blogger in late 2024 for circulating inappropriate deepfake videos of her.
- Principal of a Maryland high school was the target of a deepfake audio recording that seemed to depict him making racist comments.
- Deepfakes can be the lead-up to a phishing scam, especially in the business world; a company in Hong Kong found this out the hard way when an employee sent $25M to a threat actor who convinced them that they were on a call with multiple colleagues and the Chief Financial Officer. Everyone on the video chat was a deepfake.
Detecting deepfakes can be challenging, especially with more advanced artificial intelligence — and AI accelerates all the time.
How to Recognize Deepfakes
There are still few tells, however, that can clue you in that something you’re listening to or watching is actually a deepfake.
- Look for inconsistencies in facial expressions, blinking patterns, or lip-syncing. Deepfakes often struggle with natural eye movements and mouth synchronization.
- Pay attention to the skin texture and lighting. Deepfakes sometimes have an unnatural smoothness or inconsistent lighting across the face and body.
- Look for inconsistencies in details like hair, teeth, and jewelry. Deepfakes might struggle with accurately rendering complex elements like these.
- Check for mismatched lighting and shadows. Deepfakes often have lighting that doesn’t align naturally with the rest of the image.
- Watch for visual glitches, such as blurring or distortion around the edges of the face, especially during fast movements.
- Examine reflections, even in small details like someone’s eyes. Inconsistent or unnatural reflections can be a sign of manipulation.
- Audio deepfakes might sound robotic or lack the natural variations in tone and pitch that human speech has
- Listen for unnatural background noise or sudden changes in the audio environment.
Always verify the context and source of an audio or video file. If something seems unusual or out of character, it might be a deepfake!
Conclusion
If you want to guarantee that something like that could never happen to you, toggle your privacy settings on social media so that only trusted parties can see your posts. Remember that nothing is ever truly erased from the Internet, so any videos, pictures and audio clips posted can be recovered with the right tools and used to create a deepfake. Still, it will help to periodically go through your social media profiles and remove any posts that you don’t want on your account.
Artificial intelligence is only getting smarter. That means deepfakes are only growing more convincing. By learning how to spot falsely created media, and protecting yourself from becoming the focal point of a similar attack, you avoid spreading misinformation and help to create a safer online experience…for everyone!
The post When Deepfakes Land You in Deep Waters appeared first on .