3rd Gen Fishing
As cyber threats evolve, so must our defenses. Eyal Ben-Shitrit, CEO of IRONSCALES, emphasizes that we are entering a new era of phishing attacks – what he calls "Phishing 3.0." This phase is characterized by targeted, AI-driven attacks that go far beyond suspicious emails alone.
Phishing 3.0 is going to be something entirely different. It's a pivotal moment. We must rethink how we approach phishing and social engineering in the future by:
- AI-powered proactive detectionAdvanced algorithms for analyzing emails and exposing sophisticated phishing attempts – in real-time.
- Deepfake ProtectionInnovative technology for detecting AI-driven voice or visual impersonation attempts.
- Proactive Defense StrategiesNot just a reaction – but proactive prevention of emerging threats, even before they impact your organization.
Words of strength from below:
We need to fight fire with fire. We cannot defend ourselves with yesterday's technology against tomorrow's threats. If attackers use artificial intelligence to gather information and plan attacks – so must we.
Deepfake technology adds a new level of sophistication to phishing attacks, thanks to its ability to create content that looks or sounds authentic. Here are some examples of how it increases credibility:
Visual and auditory illustration
Video clips that appear to be sent by a manager, vice president, or other authority figure in an organization can be used to persuade employees to perform risky actions, such as transferring funds or sharing access credentials. Audio deepfakes that accurately mimic the voice of a known person may be used for emergency communications or urgent instructions, making it difficult for the victim to suspect anything.
2. Customization
Attackers can combine Deepfake technology with data gathered about the victim (Social Engineering) to create highly targeted messages (Spear Phishing). For example: a personalized email that includes a video of a "manager" speaking directly about a project the victim is involved in.
3. Higher risk for business factors
In business, where trust between colleagues is critical, deepfakes can be used to hack financial systems, damage a company's reputation, or obtain classified information.
4. Ways to Identify Deepfake Attacks in Phishing
- Pay attention to unnatural nuances: timing errors, inhuman movements, or a slightly artificial-sounding voice.
- AI Detection Tools: Deepfake detection software that focuses on the analysis of video, voice, and suspicious content.
- Additional identity verification: Clear rules in the organization prohibiting sensitive actions performed solely based on emails or calls.
In summary, Deepfake significantly enhances the credibility of phishing attacks, making the deception very difficult to detect. Therefore, it is important to adopt advanced technologies and tools, alongside raising awareness among employees and customers.
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