AI: the drive to combat LLM-generated phishing attacks
● Growing numbers of novice scammers are making use of large language models to create phishing campaigns, which are becoming increasingly common.
● Researchers at the University of Texas at Arlington have developed an innovative plug-in. The new tool, which is the first of its kind, can spot LLM prompts used to produce malicious code with an accuracy of 96%.
● The research team has also identified eight main types of phishing attacks, which when combined with the capabilities of LLMs, provide hackers with a varied arsenal which urgently needs to be neutralized.
Read the article
● Researchers at the University of Texas at Arlington have developed an innovative plug-in. The new tool, which is the first of its kind, can spot LLM prompts used to produce malicious code with an accuracy of 96%.
● The research team has also identified eight main types of phishing attacks, which when combined with the capabilities of LLMs, provide hackers with a varied arsenal which urgently needs to be neutralized.
Téléphone Grave Danger (serious danger telephone): the technical foundations behind this essential device
Read the article
Achieving quantum communications via existing fiber infrastructures
Read the article
