TRENDING for highly targeted attacks . Within seconds a chatbot can scrape the Internet for open-source information about a chosen target that can be leveraged as a pretext for social engineering campaigns , which are growing increasingly common . I ’ m often asked if LLM really changes the game , but ultimately it comes down to the defense you have in place . If you ’ re relying on traditional perimeter detection that uses signaturebased and reputation-based detection , then you urgently need to evaluate integrated cloud email security solutions that don ’ t rely on definition libraries and domain checks to determine whether an email is legitimate or not .”
Phishing Threat Trends Report : Key trends
As threats evolve , the cybersecurity industry must work together to continue to manage human risk in email . To shed light on evolving attack techniques and to keep cybersecurity professionals informed , the Egress Phishing Threat Trends Report offers an in-depth look into key phishing trends and includes :
• Most phished topics of the year :
From RingCentral to alias impersonation attacks and leveraging social media to security software impersonations and sextortion , the stats show no shortage of phishing attacks in 2023 . The number one phishing topic was missed voice messages , which accounted for 18.4 % of phishing attacks between January to September 2023 , making them the most phished topic for the year so far . Many of these attacks use HTML smuggling to hide their payload .
• Can you detect if chatbots are being used to write phishing emails ?
The report found that no person or tool can definitively tell whether an attack was written by a chatbot . Because they utilize large language models ( LLMs ) the accuracy of most detector tools increases with longer sample sizes , often requiring a minimum of 250 characters to work . With 44.9 % of phishing emails not meeting the 250-character limit and a further 26.5 % falling below 500 , currently AI detectors either
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