Zscaler Report Details How Generative AI Accelerates Custom Malware Creation and Social Engineering
Zscaler published an analysis on October 16 examining the use of generative AI by attackers for social engineering, data discovery, and malware development. Principal security researcher Phil Hagen notes that the report focuses on broad methods rather than naming specific malware families or confirmed campaigns. The core observation centers on the dramatically increased speed at which malicious scripts can be written and iteratively revised. Traditional detection that relies on matching files or traffic against known patterns loses effectiveness when code is frequently altered while preserving the same functionality. The analysis clarifies that observed rapid creation and revision does not equate to fully autonomous self-mutating malware that changes on every execution. Another impact is the disappearance of classic indicators such as spelling and grammar errors in phishing messages, which previously helped identify malicious intent. Zscaler recommends focusing on behavioral analysis of what programs actually do rather than solely relying on matches to previously catalogued samples.
BoletimSecOct 22, 2026Translated from Portuguese
